Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
MCP servers for 200M+ patents, pharma records, scientific literature, and RD intelligence, powered by Patsnap's proprietary databases.
MCP Server 是实现模型上下文协议（MCP）的服务器，旨在为 AI 模型提供一个标准化接口，连接外部数据源和工具，例如文件系统、数据库或 API。
MCP-сервер для прямой работы с клиентом тестирования без менеджера тестирования
The most comprehensive Proton Mail MCP server ever created.
LinkedIn prospect intelligence inside Claude — MCP server + 8 skills that research people, companies and comment threads, draft outreach, and learn what gets replies.
Let AI assistants read, search, and post in your Mattermost workspace
Send requests to OpenAI, Anthropic, and OpenAI-compatible providers using MCP protocol via tool or predefined prompts.
A股 AI 金融智能决策中台 · 129 个 MCP 工具 · eltdx 通达信协议 + akshare + 同花顺 + 东财 + 本地数据 · SmartRouter 多源降级路由 · 免费零鉴权
This is a PoC MCP server developed as part of some internal experiments during the development of CS 4.12 and the CS REST API. More information can be found here.
Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.
An MCP server implementation that integrates the Hyperliquid SDK.
蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...