[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tool-related-en-baronfel-mcp-binlog-tool":3},{"items":4,"total":67,"page":91,"pageSize":92},[5,30,45,60,76],{"slug":6,"name":7,"categorySlug":8,"summary":9,"description":10,"categoryName":11,"sourceUrl":12,"homepageUrl":-1,"downloadUrl":13,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":14,"forks":15,"trendScore":16,"qualityScore":16,"supportedClients":17,"clients":20,"tags":27,"installCommand":-1,"configSnippet":-1,"useCases":28,"updatedAt":29},"cloudflare-mcp-server-cloudflare","cloudflare\u002Fmcp-server-cloudflare","analytics-monitoring","Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems.","Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare's service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account.\n\nThese MCP servers allow your MCP Client to read configurations from your account, process information, make suggestions based on data, and even make those suggested changes for you. All of these actions can happen across Cloudflare's many services including application development, security and performance.\n\nThey support both the streamable-http transport via \u002Fmcp and the sse transport (deprecated) via \u002Fsse.\n\nThe following servers are included in this repository:\n\nCloudflare provides two categories of MCP servers:\n\n- (mcp.cloudflare.","Analytics & monitoring","https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare","https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare\u002Farchive\u002FHEAD.zip",3919,0,99,[18,19],"claude-desktop","cursor",[21,24],{"slug":18,"name":22,"summary":23,"count":15},"Claude Desktop","Desktop client with local MCP configuration support.",{"slug":19,"name":25,"summary":26,"count":15},"Cursor","AI code editor frequently used with developer-focused MCP servers.",[8],[],"2026-08-30T04:32:25.362198",{"slug":31,"name":32,"categorySlug":8,"summary":33,"description":34,"categoryName":11,"sourceUrl":35,"homepageUrl":-1,"downloadUrl":36,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":37,"forks":15,"trendScore":16,"qualityScore":16,"supportedClients":38,"clients":39,"tags":42,"installCommand":-1,"configSnippet":-1,"useCases":43,"updatedAt":44},"ibm-mcp-cli","ibm\u002Fmcp-cli","A powerful, feature-rich command-line interface for interacting with Model Context Protocol servers. This client enables seamless communication with LLMs through integration with the CHUK Tool...","A powerful, feature-rich command-line interface for interacting with Model Context Protocol servers. This client enables seamless communication with LLMs through integration with the CHUK Tool Processor and CHUK-LLM, providing tool usage, conversation management, and multiple operational modes.\n\n: MCP CLI defaults to using Ollama with the gpt-oss reasoning model for local, privacy-focused operation without requiring API keys.\n\n- : Enable OS-style virtual memory for conversation context management, powered by chuk-ai-session-manager - : Control token budget for conversation events (system prompt is uncapped on top), forcing earlier eviction and page creation - : Choose VM mode — passive (runtime-managed, default), relaxed (VM-aware conversation), or strict (model-driven paging with tools) - : Visualize VM state during conversations — page table, working set utilization, eviction metrics, TLB stats (aliases: \u002Fvm, \u002Fmem) - : Image pages return multi-block content (text + image_url) so...","https:\u002F\u002Fgithub.com\u002Fibm\u002Fmcp-cli","https:\u002F\u002Fgithub.com\u002Fibm\u002Fmcp-cli\u002Farchive\u002FHEAD.zip",1997,[18,19],[40,41],{"slug":18,"name":22,"summary":23,"count":15},{"slug":19,"name":25,"summary":26,"count":15},[8],[],"2026-08-30T08:27:10.516099",{"slug":46,"name":47,"categorySlug":8,"summary":48,"description":49,"categoryName":11,"sourceUrl":50,"homepageUrl":-1,"downloadUrl":51,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":52,"forks":15,"trendScore":16,"qualityScore":16,"supportedClients":53,"clients":54,"tags":57,"installCommand":-1,"configSnippet":-1,"useCases":58,"updatedAt":59},"grafana-mcp-grafana","grafana\u002Fmcp-grafana","MCP server for Grafana","A Model Context Protocol (MCP) server for Grafana.\n\nThis provides access to your Grafana instance and the surrounding ecosystem.\n\nRequires uv. Add the following to your MCP client configuration (e.g. Claude Desktop, Cursor):\n\nFor Grafana Cloud, replace GRAFANA_URL with your instance URL (e.g. https:\u002F\u002Fmyinstance.grafana.net). See Usage for more installation options including Docker, binary, and Helm.\n\n- is required for full functionality. Some features, particularly datasource-related operations, may not work correctly with earlier versions due to missing API endpoints.\n\nThe following features are currently available in MCP server. This list is for informational purposes only and does not represent a roadmap or commitment to future features.\n\n- Find dashboards by title or other metadata - Retrieve full dashboard details using its unique identifier. Warning: Large dashboards can consume significant context window space.","https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fmcp-grafana","https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fmcp-grafana\u002Farchive\u002FHEAD.zip",3209,[18,19],[55,56],{"slug":18,"name":22,"summary":23,"count":15},{"slug":19,"name":25,"summary":26,"count":15},[8],[],"2026-08-30T04:32:18.433069",{"slug":61,"name":62,"categorySlug":8,"summary":63,"description":63,"categoryName":11,"sourceUrl":64,"homepageUrl":-1,"downloadUrl":65,"cliCommand":66,"primaryLanguage":-1,"license":-1,"stars":67,"forks":15,"trendScore":16,"qualityScore":16,"supportedClients":68,"clients":69,"tags":72,"installCommand":66,"configSnippet":73,"useCases":74,"updatedAt":75},"kuudoai-amazon-ads-mcp","kuudoai\u002Famazon_ads_mcp","(for clients and catalogs that display a stable package name): io.github.KuudoAI\u002Famazon_ads_mcp","https:\u002F\u002Fgithub.com\u002Fkuudoai\u002Famazon_ads_mcp","https:\u002F\u002Fgithub.com\u002Fkuudoai\u002Famazon_ads_mcp\u002Farchive\u002FHEAD.zip","npx -y mcp-remote@latest http:\u002F\u002F${HOSTNAME}:${PORT}\u002Fmcp\u002F --allow-http --header Authorization:Bearer ${OPENBRIDGE_API_KEY} --header Accept:application\u002Fjson text\u002Fevent-stream --debug",66,[18,19],[70,71],{"slug":18,"name":22,"summary":23,"count":15},{"slug":19,"name":25,"summary":26,"count":15},[8],"{\n  \"mcpServers\": {\n    \"amazon_ads_mcp\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"mcp-remote@latest\",\n        \"http:\u002F\u002F${HOSTNAME}:${PORT}\u002Fmcp\u002F\",\n        \"--allow-http\",\n        \"--header\",\n        \"Authorization:Bearer ${OPENBRIDGE_API_KEY}\",\n        \"--header\",\n        \"Accept:application\u002Fjson,text\u002Fevent-stream\",\n        \"--debug\"\n      ],\n      \"env\": {\n        \"HOSTNAME\": \"your_hostname\",\n        \"PORT\": \"your_server_port\",\n        \"MCP_TIMEOUT\": \"120000\",\n        \"MCP_REQUEST_TIMEOUT\": \"60000\",\n        \"MCP_CONNECTION_TIMEOUT\": \"10000\",\n        \"MCP_SERVER_REQUEST_TIMEOUT\": \"60000\",\n        \"MCP_TOOL_TIMEOUT\": \"120000\",\n        \"MCP_REQUEST_WARNING_THRESHOLD\": \"10000\",\n        \"OPENBRIDGE_API_KEY\": \"your_openbridge_token_here\"\n      }\n    }\n  }\n}",[],"2026-08-19T05:48:15.579337",{"slug":77,"name":78,"categorySlug":8,"summary":79,"description":80,"categoryName":11,"sourceUrl":81,"homepageUrl":-1,"downloadUrl":82,"cliCommand":-1,"primaryLanguage":-1,"license":-1,"stars":83,"forks":15,"trendScore":16,"qualityScore":16,"supportedClients":84,"clients":85,"tags":88,"installCommand":-1,"configSnippet":-1,"useCases":89,"updatedAt":90},"baronfel-mcp-binlog-tool","baronfel\u002Fmcp-binlog-tool","A Model Context Protocol server binary that exposes information inside an MSBuild Binary Log to LLMs to aid build analysis.","This is a simple demo of a Model Context Protocol Server (MCP) that exposes tools and prompts for analyzing MSBuild binlogs to any MCP server.\n\nThe server provides comprehensive tools for analyzing MSBuild binary logs, including:\n\n- : Extract warnings and errors from binlogs with filtering by severity, project, target, and task - : Powerful freetext search with MSBuild Structured Log Viewer query syntax support - : Identify expensive targets, search for specific targets across projects, and analyze target execution times - : Calculate project build times, find the most expensive projects, and analyze all targets in a project at once - : List project evaluations, inspect global properties, and identify potential overbuilding issues - : List and retrieve source files embedded in binary logs - : Intelligent caching ensures fast queries even on large binlogs\n\nSee PACKAGE_README.md for detailed tool documentation.","https:\u002F\u002Fgithub.com\u002Fbaronfel\u002Fmcp-binlog-tool","https:\u002F\u002Fgithub.com\u002Fbaronfel\u002Fmcp-binlog-tool\u002Farchive\u002FHEAD.zip",22,[18,19],[86,87],{"slug":18,"name":22,"summary":23,"count":15},{"slug":19,"name":25,"summary":26,"count":15},[8],[],"2026-10-10T01:03:15.744047",1,5]