お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Integrates Perplexity AI's API into an MCP server, providing advanced search capabilities.
Enables AI assistants to access and analyze comprehensive financial data, stock information, company fundamentals, and market insights from Financial Modeling Prep.
Searches files for keywords, returning matching lines with line numbers and counts.
Integrate AI assistants with Metabase analytics data, bridging your analytics platform with conversational AI.
Provides a flexible collection of REST APIs to power Android apps, web applications, websites, and various backend services like logging and server status.
Analyzes code repositories.
Exposes WordPress functionality through standardized interfaces to enable secure interaction for AI models and applications.
Facilitates data retrieval and analysis from Google Search and other online sources through API integration with Claude Desktop.
Integrates Yuque documentation with Cursor's Model Context Protocol, enabling direct access to Yuque articles and knowledge bases.
Streamlines processes and optimizes operations for maximum productivity in various industries and sectors.
Defines data types and utilities for handling user interface requests, specifically parsing and validating JSON-RPC requests.
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Converts hexadecimal color codes to their closest matching CSS color names.
Provides a Model Context Protocol (MCP) server equipped with a versatile file search utility.
Integrates the entire ClickUp REST API, exposing dedicated tools for every documented operation and helper utilities for browsing the public documentation.
Builds AI-powered chatbots and multi-agent workflows, serving documents for retrieval-augmented generation.
Programmatically manage custom operational modes with full CRUD operations, schema validation, and file system watching.
Enables LLMs to interact with external tools and inject context using the Model Context Protocol (MCP).
Enables Retrieval Augmented Generation (RAG) systems by providing a Python server that leverages OpenAI's vector store capabilities using the Model Context Protocol (MCP).
Exposes financial independence calculation functions to AI assistants via the Model Context Protocol.
Calculates roots of quadratic equations using various numerical methods, enhanced by an AI-powered selection process.
Performs multi-dimensional sentiment analysis, including emotion detection, intensity scoring, and contextual understanding across diverse languages.
Categorizes software tools into various areas like browser automation, design, and development.
Provides comprehensive access to the Terraform public registry, enabling AI assistants to search and retrieve information about providers, modules, and documentation.
Integrates enterprise tools like Jira, GitLab, and Confluence with AI agents through a unified Model Context Protocol server.
Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
Transforms meeting recordings into structured, actionable intelligence using Google Gemini AI.
Provides LLM Agents a second opinion via AI-powered mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.
Provides comprehensive real-time financial data access to large language models like Claude, integrating Tushare API for multi-dimensional analysis including stocks, funds, bonds, and macroeconomic indicators.
Provides precise Bazi (八字) calculation data for accurate personality analysis and destiny forecasting.
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