Explore our complete collection of MCP servers to connect AI to your favorite tools.
Bridges large language models with the APISIX Admin API, enabling natural language interaction with APISIX resources.
Enables database interaction and business intelligence capabilities through Apache IoTDB.
Enables interaction with GitLab repositories, issues, and merge requests through the Model Context Protocol.
Enables LLMs to interact with Redis key-value stores through standardized tools.
Automates Microsoft Office applications via AI models using a COM interface on Windows.
Builds knowledge graphs from codebases to enhance understanding, improve AI assistance, and enable sophisticated querying.
Enables AI assistants to interact with Android devices through the Android Debug Bridge (ADB).
Provides a Model Context Protocol server for converting, loading, and querying Building Information Modeling (BIM) data.
Ensures AI-generated code matches specifications by creating specs, validating output, and suggesting fixes.
Provides architectural expertise through specialized agents, resources, and tools, leveraging the Model Context Protocol.
Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).
Integrates with the Apollo.io API, enabling AI assistants to enrich data, perform searches, and find job postings.
Provides geocoding and reverse geocoding services to Large Language Models.
Generates custom music recommendations and manages playlists within a TIDAL account using natural language prompts.
Enables large language models to safely generate and execute JavaScript code within an isolated .NET runtime environment.
Provides a FastMCP server for interacting with Microsoft Graph API to manage EntraID (Azure AD) resources.
Provides direct, real-time access to a user's browser tab content for AI agents and applications, specifically optimized for token efficiency.
Provides image recognition capabilities by leveraging Anthropic and OpenAI vision APIs.
Provides a starter template for building Model Context Protocol (MCP) servers using TypeScript.
Safely executes Python code and manages packages in isolated Docker containers, designed for use with LLMs.
Enables Large Language Models to interact with, read, search, and manipulate Git repositories for automation.
Enables interaction with Coolify instances through Model Context Protocol (MCP) tools.
Integrates with the Yuque API to provide a Model-Context-Protocol (MCP) server for interacting with the Yuque knowledge base platform.
Crawls websites, generates Markdown documentation, and makes that documentation searchable.
Provides an MCP server for integrating personal financial data from Monarch Money with Claude Desktop.
Runs a Model Context Protocol (MCP) server in a web browser using WebAssembly.
Plans and orchestrates AI-driven software development by integrating with IDEs through the Model Context Protocol.
Verifies Maven dependency versions and retrieves the latest versions from the Maven Central Repository.
Translates natural language instructions into JSON-formatted operations for loading, querying, and writing RDF Linked Data.
Provides resources and tutorials related to Dify AI and general Python development.
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