Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides code context and analysis for AI assistants, extracting directory structure and code symbols.
Locates the path to the 'uv' utility.
Streamlines modern web application development by automating task-based operations through a continuous interactive loop within the Cursor IDE.
Automates project management, POU creation, code editing, and compilation tasks within the CODESYS V3 programming environment via Model Context Protocol (MCP).
Augments large language models with OI-Wiki content for enhanced problem-solving in competitive programming and ICPC.
Empower AI assistants with full control over Microsoft Excel's features, including Power Query, DAX, VBA, and worksheets, via native COM automation.
Provides an MCP interface to access repository information, issues, pull requests, and more from GitHub Enterprise.
Enables LLM hosts to interact with the Perses application in a standardized way.
Enables the creation of Model Context Protocol (MCP) servers through simple configuration files, eliminating the need for custom code.
Provides a comprehensive Model Context Protocol (MCP) server for AI agents and clients to interface with the Congress.gov API.
Enables AI assistants like Claude to manage Apifox projects through natural language, facilitating the creation, update, and auditing of API interfaces.
Connects a Slack bot to Model Context Protocol (MCP) servers via SSE or Stdio.
Compiles YAML specifications into semantic LLM tools with structured memory and an emergent knowledge graph.
Provides a comprehensive Python client library and Model Context Protocol (MCP) server for Microsoft Dynamics 365 Finance & Operations, enabling streamlined access to OData endpoints, metadata, labels, and AI assistant integration.
Connects MCP-compatible clients to Onyx AI knowledge bases, enabling semantic search and chat capabilities.
Enables programmatic interaction with Telnyx's comprehensive suite of communication APIs, including telephony, messaging, and AI assistant functionalities.
Provides sophisticated tools for interacting with PocketBase databases, enabling advanced database operations, schema management, and data manipulation.
Manipulates Excel files without requiring Microsoft Excel, enabling automation and integration with AI assistants like Claude.
Facilitates code analysis by extracting, merging, and analyzing code files, optimized for use with Large Language Models.
Connects Claude Desktop to Agent-to-Agent protocol agents through a lightweight Python bridge.
Integrates AI assistants with the Terraform Cloud API, enabling infrastructure management through natural language.
Exposes the entire Notion API as a collection of tools that Large Language Models (LLMs) can use to interact with Notion seamlessly.
Enables interaction with Reddit through Claude and Cursor, providing tools for reading, analyzing, creating, and voting on content.
Integrates Wazuh security data with Large Language Models, providing real-time security context.
Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in TypeScript projects.
Converts the MCP protocol's SSE transport layer to standard HTTP requests and responses.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
Reviews code and provides feedback with the sarcastic and cynical perspective of a grumpy senior developer.
Streamlines AI-assisted development by providing 23 utility tools that cover code quality, development efficiency, and project management workflows.
Provides a curated list of resources related to Model Context Protocol (MCP) servers.
Scroll for more results...