[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"category-tools-en-productivity":3},{"items":4,"total":390,"page":391,"pageSize":392},[5,30,46,62,77,92,108,124,140,157,172,188,203,219,235,250,265,281,297,312,326,341,360,376],{"slug":6,"name":7,"categorySlug":8,"summary":9,"description":9,"categoryName":10,"sourceUrl":11,"homepageUrl":-1,"downloadUrl":12,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":13,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":16,"clients":19,"tags":26,"installCommand":-1,"configSnippet":27,"useCases":28,"updatedAt":29},"shy2593666979-mcp-server-email","shy2593666979\u002Fmcp-server-email","productivity","A Model Context Protocol server that provides email functionality. This server enables LLMs to compose and send emails, as well as search for attachments within specified directories.","Productivity workflow","https:\u002F\u002Fgithub.com\u002Fshy2593666979\u002Fmcp-server-email","https:\u002F\u002Fgithub.com\u002Fshy2593666979\u002Fmcp-server-email\u002Farchive\u002FHEAD.zip",80,0,99,[17,18],"claude-desktop","cursor",[20,23],{"slug":17,"name":21,"summary":22,"count":14},"Claude Desktop","Desktop client with local MCP configuration support.",{"slug":18,"name":24,"summary":25,"count":14},"Cursor","AI code editor frequently used with developer-focused MCP servers.",[8],"{\n  \"mcpServers\": {\n    \"email\": {\n      \"command\": \"D:\\\\conda\\\\envs\\\\mcp\\\\python.exe\",\n      \"args\": [\n        \"C:\\\\Users\\\\YourUserName\\\\Desktop\\\\servers\\\\src\\\\email\\\\src\\\\mcp_server_email\",\n        \"--dir\",\n        \"C:\\\\Users\\\\YourUserName\\\\Desktop\"\n      ],\n      \"env\": {\n        \"SENDER\": \"2593666979q@gmail.com\",\n        \"PASSWORD\": \"tuogk.......\"\n      }\n    }\n  }\n}",[],"2026-08-11T05:12:36.356991",{"slug":31,"name":32,"categorySlug":8,"summary":33,"description":33,"categoryName":10,"sourceUrl":34,"homepageUrl":-1,"downloadUrl":35,"cliCommand":36,"primaryLanguage":-1,"license":-1,"stars":37,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":38,"clients":39,"tags":42,"installCommand":36,"configSnippet":43,"useCases":44,"updatedAt":45},"aws-samples-sample-mcp-server-s3","aws-samples\u002Fsample-mcp-server-s3","An MCP server implementation for retrieving data such as PDF's from S3.","https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fsample-mcp-server-s3","https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fsample-mcp-server-s3\u002Farchive\u002FHEAD.zip","uvx s3-mcp-server",78,[17,18],[40,41],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"s3-mcp-server\": {\n      \"command\": \"uv\",\n      \"args\": [\n        \"--directory\",\n        \"\u002FUsers\u002Fuser\u002Fgenerative_ai\u002Fmodel_context_protocol\u002Fs3-mcp-server\",\n        \"run\",\n        \"s3-mcp-server\"\n      ]\n    }\n  }\n}",[],"2026-08-18T01:33:17.901034",{"slug":47,"name":48,"categorySlug":8,"summary":49,"description":49,"categoryName":10,"sourceUrl":50,"homepageUrl":-1,"downloadUrl":51,"cliCommand":52,"primaryLanguage":-1,"license":-1,"stars":53,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":54,"clients":55,"tags":58,"installCommand":52,"configSnippet":59,"useCases":60,"updatedAt":61},"xuanwo-mcp-server-opendal","xuanwo\u002Fmcp-server-opendal","A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™.","https:\u002F\u002Fgithub.com\u002Fxuanwo\u002Fmcp-server-opendal","https:\u002F\u002Fgithub.com\u002Fxuanwo\u002Fmcp-server-opendal\u002Farchive\u002FHEAD.zip","uvx mcp-server-opendal",35,[17,18],[56,57],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"opendal\": {\n      \"command\": \"uvx\",\n      \"args\": [\n        \"mcp-server-opendal\"\n      ],\n      \"env\": {\n        \"YOUR_ENV_VAR\": \"YOUR_ENV_VALUE\"\n      }\n    }\n  }\n}",[],"2026-08-30T01:12:19.094729",{"slug":63,"name":64,"categorySlug":8,"summary":65,"description":65,"categoryName":10,"sourceUrl":66,"homepageUrl":-1,"downloadUrl":67,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":68,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":69,"clients":70,"tags":73,"installCommand":-1,"configSnippet":74,"useCases":75,"updatedAt":76},"cbtw-apac-qdrant-loader","cbtw-apac\u002Fqdrant-loader","A comprehensive toolkit for loading data into Qdrant vector database with advanced MCP server support for AI-powered development workflows.","https:\u002F\u002Fgithub.com\u002Fcbtw-apac\u002Fqdrant-loader","https:\u002F\u002Fgithub.com\u002Fcbtw-apac\u002Fqdrant-loader\u002Farchive\u002FHEAD.zip",50,[17,18],[71,72],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"qdrant-loader\": {\n      \"command\": \"\u002Fpath\u002Fto\u002Fvenv\u002Fbin\u002Fmcp-qdrant-loader\",\n      \"env\": {\n        \"QDRANT_URL\": \"http:\u002F\u002Flocalhost:6333\",\n        \"QDRANT_COLLECTION_NAME\": \"my_docs\",\n        \"OPENAI_API_KEY\": \"your_key\"\n      }\n    }\n  }\n}",[],"2026-08-23T00:24:05.299086",{"slug":78,"name":79,"categorySlug":8,"summary":80,"description":80,"categoryName":10,"sourceUrl":81,"homepageUrl":-1,"downloadUrl":82,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":83,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":84,"clients":85,"tags":88,"installCommand":-1,"configSnippet":89,"useCases":90,"updatedAt":91},"alec2435-amazon-fresh-server","alec2435\u002Famazon-fresh-server","This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:","https:\u002F\u002Fgithub.com\u002Falec2435\u002Famazon-fresh-server","https:\u002F\u002Fgithub.com\u002Falec2435\u002Famazon-fresh-server\u002Farchive\u002FHEAD.zip",63,[17,18],[86,87],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"amazon-fresh-server\": {\n      \"command\": \"\u002Fpath\u002Fto\u002Famazon-fresh-server\u002Fbuild\u002Findex.js\"\n    }\n  }\n}",[],"2026-08-19T23:35:51.450246",{"slug":93,"name":94,"categorySlug":8,"summary":95,"description":95,"categoryName":10,"sourceUrl":96,"homepageUrl":-1,"downloadUrl":97,"cliCommand":98,"primaryLanguage":-1,"license":-1,"stars":99,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":100,"clients":101,"tags":104,"installCommand":98,"configSnippet":105,"useCases":106,"updatedAt":107},"ragieai-ragie-mcp-server","ragieai\u002Fragie-mcp-server","This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https:\u002F\u002Fdocs.ragie.ai\u002Fdocs\u002Fmcp-overview]","https:\u002F\u002Fgithub.com\u002Fragieai\u002Fragie-mcp-server","https:\u002F\u002Fgithub.com\u002Fragieai\u002Fragie-mcp-server\u002Farchive\u002FHEAD.zip","npx -y @ragieai\u002Fmcp-server --partition optional_partition_id",89,[17,18],[102,103],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"ragie\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"@ragieai\u002Fmcp-server\",\n        \"--partition\",\n        \"optional_partition_id\"\n      ],\n      \"env\": {\n        \"RAGIE_API_KEY\": \"your_api_key\"\n      }\n    }\n  }\n}",[],"2026-07-25T02:52:32.166236",{"slug":109,"name":110,"categorySlug":8,"summary":111,"description":111,"categoryName":10,"sourceUrl":112,"homepageUrl":-1,"downloadUrl":113,"cliCommand":114,"primaryLanguage":-1,"license":-1,"stars":115,"forks":14,"trendScore":15,"qualityScore":15,"supportedClients":116,"clients":117,"tags":120,"installCommand":114,"configSnippet":121,"useCases":122,"updatedAt":123},"dawncr0w-affine-mcp-server","dawncr0w\u002Faffine-mcp-server","A Model Context Protocol (MCP) server for AFFiNE. It exposes AFFiNE workspaces and documents to AI assistants over stdio (default) or HTTP (\u002Fmcp) and supports both AFFiNE Cloud and self-hosted...","https:\u002F\u002Fgithub.com\u002Fdawncr0w\u002Faffine-mcp-server","https:\u002F\u002Fgithub.com\u002Fdawncr0w\u002Faffine-mcp-server\u002Farchive\u002FHEAD.zip","npx -y -p affine-mcp-server affine-mcp -- --version",232,[17,18],[118,119],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"affine\": {\n      \"type\": \"http\",\n      \"url\": \"http:\u002F\u002Flocalhost:3000\u002Fmcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer your-strong-secret\"\n      }\n    }\n  }\n}",[],"2026-07-21T01:01:02.535389",{"slug":125,"name":126,"categorySlug":8,"summary":127,"description":128,"categoryName":10,"sourceUrl":129,"homepageUrl":-1,"downloadUrl":130,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":131,"forks":14,"trendScore":132,"qualityScore":132,"supportedClients":133,"clients":134,"tags":137,"installCommand":-1,"configSnippet":-1,"useCases":138,"updatedAt":139},"salesforcecli-mcp","salesforcecli\u002Fmcp","MCP Server for interacting with Salesforce instances","MCP Server for Interacting with Salesforce Orgs\n\nReport bugs and issues here. For feature requests and other related topics, start a Discussion here.\n\nFor general documentation about the Salesforce DX MCP Server, see this section in the Salesforce DX Developer Guide. The docs include:\n\n- Comprehensive overview, including details about the security features. - Quick start guide. - Multiple examples of configuring the server in your MCP client. - Sample prompts for invoking the core DX MCP tools.\n\nThe Salesforce DX MCP Server is a specialized Model Context Protocol (MCP) implementation designed to facilitate seamless interaction between large language models (LLMs) and Salesforce orgs. This MCP server provides a robust set of tools and capabilities that enable LLMs to read, manage, and operate Salesforce resources securely.","https:\u002F\u002Fgithub.com\u002Fsalesforcecli\u002Fmcp","https:\u002F\u002Fgithub.com\u002Fsalesforcecli\u002Fmcp\u002Farchive\u002FHEAD.zip",432,92,[17,18],[135,136],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-08-30T04:30:56.09867",{"slug":141,"name":142,"categorySlug":8,"summary":143,"description":143,"categoryName":10,"sourceUrl":144,"homepageUrl":-1,"downloadUrl":145,"cliCommand":146,"primaryLanguage":-1,"license":-1,"stars":147,"forks":14,"trendScore":148,"qualityScore":148,"supportedClients":149,"clients":150,"tags":153,"installCommand":146,"configSnippet":154,"useCases":155,"updatedAt":156},"antarikshc-perfetto-mcp","antarikshc\u002Fperfetto-mcp","Turn natural language into powerful Perfetto trace analysis","https:\u002F\u002Fgithub.com\u002Fantarikshc\u002Fperfetto-mcp","https:\u002F\u002Fgithub.com\u002Fantarikshc\u002Fperfetto-mcp\u002Farchive\u002FHEAD.zip","uvx perfetto-mcp",209,91,[17,18],[151,152],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"perfetto-mcp\": {\n      \"command\": \"uvx\",\n      \"args\": [\"perfetto-mcp\"]\n    }\n  }\n}",[],"2026-08-05T04:12:49.292597",{"slug":158,"name":159,"categorySlug":8,"summary":160,"description":161,"categoryName":10,"sourceUrl":162,"homepageUrl":-1,"downloadUrl":163,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":164,"forks":14,"trendScore":148,"qualityScore":148,"supportedClients":165,"clients":166,"tags":169,"installCommand":-1,"configSnippet":-1,"useCases":170,"updatedAt":171},"graphlit-graphlit-mcp-server","graphlit\u002Fgraphlit-mcp-server","Model Context Protocol (MCP) Server for Graphlit Platform","The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client.\n\nIngest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf, Goose or Cline.\n\nYour Graphlit project acts as a searchable, and RAG-ready knowledge base across all your developer and product management tools.\n\nDocuments (PDF, DOCX, PPTX, etc.) and HTML web pages will be extracted to Markdown upon ingestion. Audio and video files will be transcribed upon ingestion.\n\nWeb crawling and web search are built-in as MCP tools, with no need to integrate other tools like Firecrawl, Exa, etc. separately.\n\nYou can read more about the MCP Server use cases and features on our blog.","https:\u002F\u002Fgithub.com\u002Fgraphlit\u002Fgraphlit-mcp-server","https:\u002F\u002Fgithub.com\u002Fgraphlit\u002Fgraphlit-mcp-server\u002Farchive\u002FHEAD.zip",376,[17,18],[167,168],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-09-11T01:34:18.027576",{"slug":173,"name":174,"categorySlug":8,"summary":175,"description":175,"categoryName":10,"sourceUrl":176,"homepageUrl":-1,"downloadUrl":177,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":178,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":180,"clients":181,"tags":184,"installCommand":-1,"configSnippet":185,"useCases":186,"updatedAt":187},"chapirousia-pje-mcp-server","chapirousia\u002Fpje-mcp-server","Servidor MCP (Model Context Protocol) para integração com o sistema PJE (Processo Judicial Eletrônico) brasileiro, com suporte completo a certificados digitais A1 e A3.","https:\u002F\u002Fgithub.com\u002Fchapirousia\u002Fpje-mcp-server","https:\u002F\u002Fgithub.com\u002Fchapirousia\u002Fpje-mcp-server\u002Farchive\u002FHEAD.zip",39,90,[17,18],[182,183],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"pje\": {\n      \"command\": \"node\",\n      \"args\": [\"C:\\\\caminho\\\\para\\\\pje-mcp-server\\\\build\\\\index.js\"]\n    }\n  }\n}",[],"2026-08-28T06:30:50.419123",{"slug":189,"name":190,"categorySlug":8,"summary":191,"description":192,"categoryName":10,"sourceUrl":193,"homepageUrl":-1,"downloadUrl":194,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":195,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":196,"clients":197,"tags":200,"installCommand":-1,"configSnippet":-1,"useCases":201,"updatedAt":202},"m-pineapple-claude-project-coordinator","m-pineapple\u002Fclaude-project-coordinator","Claude Project Coordinator is a Swift-powered MCP (Model Context Protocol) server designed to streamline multi-project Xcode development.","Track Xcode and Swift work across many repos, then ask Claude what is hot, stale, or next.\n\nCPC is an MCP server that gives Claude a structured, view of your projects: status, notes, tech stack, activity, and health. It runs on macOS beside Claude Desktop, Cursor, or Claude Code. Data never leaves your machine.\n\n· official Swift MCP SDK · MIT · local JSON knowledge base\n\nPick the path that matches you. Same binary, different first questions.\n\nYou have several apps and packages. Context switches burn time, and you forget which repo was mid-refactor.\n\n- \"Add my WeatherApp at ~\u002FDeveloper\u002FWeatherApp\" - \"Show me all my tracked projects\" - \"Which projects need my attention?\" - \"Update WeatherApp status to 'Core Data models half done'\"\n\na living roster with status, notes, auto-detected tech (SwiftUI, SPM, Xcode project\u002Fworkspace), and a health score so quiet projects surface again.\n\nClaude is your coding desk. You want continuity between chats without pasting the same project list.","https:\u002F\u002Fgithub.com\u002Fm-pineapple\u002Fclaude-project-coordinator","https:\u002F\u002Fgithub.com\u002Fm-pineapple\u002Fclaude-project-coordinator\u002Farchive\u002FHEAD.zip",47,[17,18],[198,199],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-09-15T03:27:29.424417",{"slug":204,"name":205,"categorySlug":8,"summary":206,"description":206,"categoryName":10,"sourceUrl":207,"homepageUrl":-1,"downloadUrl":208,"cliCommand":209,"primaryLanguage":-1,"license":-1,"stars":210,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":211,"clients":212,"tags":215,"installCommand":209,"configSnippet":216,"useCases":217,"updatedAt":218},"chenyqthu-mcp-server-weread","chenyqthu\u002Fmcp-server-weread","一个为微信读书提供MCP（Model Context Protocol）服务的工具，支持将微信读书的书籍、笔记和划线数据提供给支持MCP的大语言模型客户端，如Claude Desktop。","https:\u002F\u002Fgithub.com\u002Fchenyqthu\u002Fmcp-server-weread","https:\u002F\u002Fgithub.com\u002Fchenyqthu\u002Fmcp-server-weread\u002Farchive\u002FHEAD.zip","npx -y mcp-server-weread",167,[17,18],[213,214],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n     \"mcpServers\": {\n       \"mcp-server-weread\": {\n         \"command\": \"npx\",\n         \"args\": [\"-y\", \"mcp-server-weread\"],\n         \"env\": {\n           \u002F\u002F 方式1：使用Cookie Cloud（推荐）\n           \"CC_URL\": \"https:\u002F\u002Fcc.chenge.ink\",  \u002F\u002F Cookie Cloud的URL\n           \"CC_ID\": \"您的ID\",                   \u002F\u002F Cookie Cloud的ID\n           \"CC_PASSWORD\": \"您的密码\"            \u002F\u002F Cookie Cloud的密码\n           \n           \u002F\u002F 或方式2：直接提供Cookie\n           \u002F\u002F \"WEREAD_COOKIE\": \"您的微信读书Cookie\"\n         }\n       }\n     }\n   }",[],"2026-07-22T00:31:28.805179",{"slug":220,"name":221,"categorySlug":8,"summary":222,"description":222,"categoryName":10,"sourceUrl":223,"homepageUrl":-1,"downloadUrl":224,"cliCommand":225,"primaryLanguage":-1,"license":-1,"stars":226,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":227,"clients":228,"tags":231,"installCommand":225,"configSnippet":232,"useCases":233,"updatedAt":234},"jem-computer-capacities-mcp","jem-computer\u002Fcapacities-mcp","An enhanced MCP (Model Context Protocol) server for Capacities, providing seamless integration with your knowledge management system.","https:\u002F\u002Fgithub.com\u002Fjem-computer\u002Fcapacities-mcp","https:\u002F\u002Fgithub.com\u002Fjem-computer\u002Fcapacities-mcp\u002Farchive\u002FHEAD.zip","npx -y capacities-mcp-plus",41,[17,18],[229,230],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"capacities\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"capacities-mcp-plus\"],\n      \"env\": {\n        \"CAPACITIES_API_KEY\": \"your_capacities_api_key_here\"\n      }\n    }\n  }\n}",[],"2026-08-06T01:52:27.206456",{"slug":236,"name":237,"categorySlug":8,"summary":238,"description":239,"categoryName":10,"sourceUrl":240,"homepageUrl":-1,"downloadUrl":241,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":242,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":243,"clients":244,"tags":247,"installCommand":-1,"configSnippet":-1,"useCases":248,"updatedAt":249},"hopx-ai-mcp","hopx-ai\u002Fmcp","Model Context Protocol (MCP) server for HOPX. Enables AI assistants to execute code in isolated cloud containers.","Model Context Protocol (MCP) server for HOPX. Enables AI assistants to execute code in isolated cloud containers.\n\n- Execute Python, JavaScript, Bash, and Go in isolated containers - Data analysis with pandas, numpy, matplotlib (pre-installed) - File operations and system commands - Background processes and long-running tasks\n\nAdd MCP server configuration to your IDE:\n\nAdd to ~\u002FLibrary\u002FApplication Support\u002FClaude\u002Fclaude_desktop_config.json (macOS) or %APPDATA%\\Claude\\claude_desktop_config.json (Windows):\n\nRestart Claude Desktop after configuration.\n\nConfiguration format varies by IDE. Add these parameters: - Command: uvx - Args: [\"hopx-mcp\"] - Environment: HOPX_API_KEY=your-api-key-here\n\nFor multiple operations in the same environment:\n\n- create_sandbox() - Create sandbox - list_sandboxes() - List sandboxes - delete_sandbox() - Terminate sandbox","https:\u002F\u002Fgithub.com\u002Fhopx-ai\u002Fmcp","https:\u002F\u002Fgithub.com\u002Fhopx-ai\u002Fmcp\u002Farchive\u002FHEAD.zip",156,[17,18],[245,246],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-08-30T04:31:13.571053",{"slug":251,"name":252,"categorySlug":8,"summary":253,"description":254,"categoryName":10,"sourceUrl":255,"homepageUrl":-1,"downloadUrl":256,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":257,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":258,"clients":259,"tags":262,"installCommand":-1,"configSnippet":-1,"useCases":263,"updatedAt":264},"makenotion-lore","makenotion\u002Flore","Persistent, shared AI memory backed by Notion for MCP-compatible assistants.","Lore gives your AI assistants a persistent, shared memory: it stores conversations, decisions, follow-up tasks, and durable relationships as Notion pages that any teammate or agent session can read back. Anything you use with the Model Context Protocol (Claude Code, Codex, Cursor, OMP, and other MCP hosts) can recall, save, and reason over the same vault, so context survives \u002Fclear, new branches, and handoffs between people.\n\nUnder the hood, Lore organizes a vault into five core Notion databases: Projects, Topics, Memories, Entities (canonical-handle resolution), and Facts. The same domain services power three surfaces: an MCP server for AI assistants, a CLI for humans, and hook commands that wire automatic context loading and session saving into supported hosts.\n\nPublic npm requires no registry configuration or package token.\n\nnpm link makes lore available globally on your PATH from the clone. Run lore --version to confirm either installation route, then continue with step 2 below.","https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Flore","https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Flore\u002Farchive\u002FHEAD.zip",135,[17,18],[260,261],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-09-08T11:39:19.491027",{"slug":266,"name":267,"categorySlug":8,"summary":268,"description":268,"categoryName":10,"sourceUrl":269,"homepageUrl":-1,"downloadUrl":270,"cliCommand":271,"primaryLanguage":-1,"license":-1,"stars":272,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":273,"clients":274,"tags":277,"installCommand":271,"configSnippet":278,"useCases":279,"updatedAt":280},"szeider-mcp-dblp","szeider\u002Fmcp-dblp","A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models (accompanying paper accepted to AI4SC @ AAAI-26).","https:\u002F\u002Fgithub.com\u002Fszeider\u002Fmcp-dblp","https:\u002F\u002Fgithub.com\u002Fszeider\u002Fmcp-dblp\u002Farchive\u002FHEAD.zip","uvx mcp-dblp",42,[17,18],[275,276],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"mcp-dblp\": {\n      \"command\": \"uvx\",\n      \"args\": [\"mcp-dblp\"]\n    }\n  }\n}",[],"2026-08-24T02:15:40.503354",{"slug":282,"name":283,"categorySlug":8,"summary":284,"description":284,"categoryName":10,"sourceUrl":285,"homepageUrl":-1,"downloadUrl":286,"cliCommand":287,"primaryLanguage":-1,"license":-1,"stars":288,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":289,"clients":290,"tags":293,"installCommand":287,"configSnippet":294,"useCases":295,"updatedAt":296},"iannuttall-flux-ui-mcp","iannuttall\u002Fflux-ui-mcp","MCP server for Flux UI component references","https:\u002F\u002Fgithub.com\u002Fiannuttall\u002Fflux-ui-mcp","https:\u002F\u002Fgithub.com\u002Fiannuttall\u002Fflux-ui-mcp\u002Farchive\u002FHEAD.zip","npx -y fluxui-mcp-server",93,[17,18],[291,292],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"fluxui-server\": {\n      \"command\": \"\u002Fpath\u002Fto\u002Ffluxui-mcp-server\u002Fbuild\u002Findex.js\"\n    }\n  }\n}",[],"2026-08-16T02:57:17.364949",{"slug":298,"name":299,"categorySlug":8,"summary":300,"description":301,"categoryName":10,"sourceUrl":302,"homepageUrl":-1,"downloadUrl":303,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":304,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":305,"clients":306,"tags":309,"installCommand":-1,"configSnippet":-1,"useCases":310,"updatedAt":311},"fireproof-storage-mcp-database-server","fireproof-storage\u002Fmcp-database-server","Store and load JSON documents from LLM tool use","This is a simple example of how to use a Fireproof database in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop).\n\nThis demo server implements a basic JSON document store with CRUD operations (Create, Read, Update, Delete) and the ability to query documents sorted by any field.\n\nTo use with Claude Desktop, add the server config:\n\nOn MacOS: ~\u002FLibrary\u002FApplication Support\u002FClaude\u002Fclaude_desktop_config.json On Windows: %APPDATA%\u002FClaude\u002Fclaude_desktop_config.json\n\nSince MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:\n\nThe Inspector will provide a URL to access debugging tools in your browser.","https:\u002F\u002Fgithub.com\u002Ffireproof-storage\u002Fmcp-database-server","https:\u002F\u002Fgithub.com\u002Ffireproof-storage\u002Fmcp-database-server\u002Farchive\u002FHEAD.zip",31,[17,18],[307,308],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-08-31T01:43:55.467372",{"slug":313,"name":314,"categorySlug":8,"summary":315,"description":316,"categoryName":10,"sourceUrl":317,"homepageUrl":-1,"downloadUrl":318,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":319,"forks":14,"trendScore":179,"qualityScore":179,"supportedClients":320,"clients":321,"tags":324,"installCommand":-1,"configSnippet":-1,"useCases":325,"updatedAt":311},"verygoodplugins-robinhood-mcp","verygoodplugins\u002Frobinhood-mcp","Read-only MCP server for Robinhood portfolio research","A read-only MCP server for Robinhood portfolio research. Wraps robin_stocks to give AI assistants access to your portfolio data for analysis.\n\n- This server provides read-only access. No trading functionality is exposed.\n\n- Uses robin_stocks unofficial API. May break without notice. Use at your own risk.\n\nThis demo uses simulated account data and a generic assistant interface. It shows read-only research workflows only; it does not show real credentials, real holdings, professional advice, or trade execution.\n\nOnce connected, you can have natural conversations with Claude about your portfolio:\n\n\"Give me a health check on my portfolio. What's my total value, sector concentration, and any positions that are significantly up or down?\"\n\nClaude will pull your positions, calculate sector exposure, identify your best and worst performers, and flag any concentration risks.\n\n\"I'm thinking about adding to my NVDA position.","https:\u002F\u002Fgithub.com\u002Fverygoodplugins\u002Frobinhood-mcp","https:\u002F\u002Fgithub.com\u002Fverygoodplugins\u002Frobinhood-mcp\u002Farchive\u002FHEAD.zip",38,[17,18],[322,323],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],{"slug":327,"name":328,"categorySlug":8,"summary":329,"description":329,"categoryName":10,"sourceUrl":330,"homepageUrl":-1,"downloadUrl":331,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":332,"forks":14,"trendScore":333,"qualityScore":333,"supportedClients":334,"clients":335,"tags":338,"installCommand":-1,"configSnippet":-1,"useCases":339,"updatedAt":340},"daipendency-daipendency-mcp","daipendency\u002Fdaipendency-mcp","Model Context Protocol (MCP) server for Daipendency.","https:\u002F\u002Fgithub.com\u002Fdaipendency\u002Fdaipendency-mcp","https:\u002F\u002Fgithub.com\u002Fdaipendency\u002Fdaipendency-mcp\u002Farchive\u002FHEAD.zip",58,85,[17,18],[336,337],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-08-21T02:48:28.566819",{"slug":342,"name":343,"categorySlug":8,"summary":344,"description":344,"categoryName":10,"sourceUrl":345,"homepageUrl":-1,"downloadUrl":346,"cliCommand":-1,"primaryLanguage":347,"license":348,"stars":349,"forks":350,"trendScore":351,"qualityScore":352,"supportedClients":353,"clients":354,"tags":357,"installCommand":-1,"configSnippet":-1,"useCases":358,"updatedAt":359},"notion-mcp","Notion MCP","Search pages, query databases, and retrieve workspace knowledge from Notion.","https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Fnotion-mcp-server","https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Fnotion-mcp-server\u002Farchive\u002FHEAD.zip","TypeScript","MIT",8230,210,82,86,[17,18],[355,356],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8,347,348],[],"2026-06-16T00:00:00",{"slug":361,"name":362,"categorySlug":8,"summary":363,"description":364,"categoryName":10,"sourceUrl":365,"homepageUrl":-1,"downloadUrl":366,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":367,"forks":14,"trendScore":368,"qualityScore":368,"supportedClients":369,"clients":370,"tags":373,"installCommand":-1,"configSnippet":-1,"useCases":374,"updatedAt":375},"stefanoamorelli-sec-edgar-mcp","stefanoamorelli\u002Fsec-edgar-mcp","A SEC EDGAR MCP (Model Context Protocol) Server","MCP server for accessing SEC EDGAR filings. Connects AI assistants to company filings, financial statements, and insider trading data with exact numeric precision.\n\nhttps:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd310eb42-b3ca-467d-92f7-7d132e6274fe\n\nThis project is not affiliated with or endorsed by the U.S. Securities and Exchange Commission. EDGAR and SEC are trademarks of the SEC.\n\nThe -i flag is required for MCP's JSON-RPC communication.\n\nFor other installation methods (pip, conda, uv), see the documentation.\n\nAll responses include SEC filing URLs for verification.\n\nFor platforms like Dify, use streamable HTTP instead of stdio:\n\nNo authentication is included. Use only on private networks.","https:\u002F\u002Fgithub.com\u002Fstefanoamorelli\u002Fsec-edgar-mcp","https:\u002F\u002Fgithub.com\u002Fstefanoamorelli\u002Fsec-edgar-mcp\u002Farchive\u002FHEAD.zip",332,81,[17,18],[371,372],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],[],"2026-08-30T08:31:43.676633",{"slug":377,"name":378,"categorySlug":8,"summary":379,"description":379,"categoryName":10,"sourceUrl":380,"homepageUrl":-1,"downloadUrl":381,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":382,"forks":14,"trendScore":13,"qualityScore":13,"supportedClients":383,"clients":384,"tags":387,"installCommand":-1,"configSnippet":388,"useCases":389,"updatedAt":280},"wowinter13-solscan-mcp","wowinter13\u002Fsolscan-mcp","A Model Context Protocol (MCP) server for interacting with the Solscan Pro API for Solana blockchain data.","https:\u002F\u002Fgithub.com\u002Fwowinter13\u002Fsolscan-mcp","https:\u002F\u002Fgithub.com\u002Fwowinter13\u002Fsolscan-mcp\u002Farchive\u002FHEAD.zip",45,[17,18],[385,386],{"slug":17,"name":21,"summary":22,"count":14},{"slug":18,"name":24,"summary":25,"count":14},[8],"{\n  \"mcpServers\": {\n    \"solscan-mcp\": {\n      \"command\": \"\u002FUsers\u002F$username\u002F.cargo\u002Fbin\u002Fsolscan-mcp\",\n      \"args\": [],\n      \"env\": {\n        \"SOLSCAN_API_KEY\": \"your_solscan_api_key\"\n      }\n    }\n  }\n}",[],69,1,24]