A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

A lightweight MCP (Model Context Protocol) server for integrating ComPDF AI with Claude Desktop, enabling AI-powered intelligent document processing and data extraction from PDFs via natural language.

A Model Context Protocol (MCP) server for the Internet Archive's Open Library API that enables AI assistants to search for book and author information.

A Model Context Protocol (MCP) server for programmatic diagram generation using Draw.io (Diagrams.net). This server generates Draw.io XML directly — no browser extension or Draw.io instance required.

A comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database. This server provides access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools.

🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.

Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model

Model Context Protocol (MCP) server that lets AI assistants read Overleaf projects, parse LaTeX document structure, and push section-level edits back via Git. Compatible with Claude Desktop, Cursor, Windsurf, and any MCP client.

🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs).

A Model Context Protocol (MCP) server for interacting with the MetaTrader 5 trading platform. This server provides AI assistants with tools and resources to access market data, perform trading operations, and analyze trading history.

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to-speech, and voice cloning APIs.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

A Whistle proxy management tool based on Model Context Protocol that allows AI assistants to directly control local Whistle proxy servers, simplifying network debugging, API testing, and proxy rule configuration through natural language interaction.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

MCP Server for Wazuh SIEM

Enterprise Governance Layer (Identity, RBAC, Credentials, Auditing, Logging, Tracing) for the Model Context Protocol SDK

Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.

A memory layer for AI Agents

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.

This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.