An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins.

Multi-model AI code review server using OpenRouter - get diverse perspectives from multiple LLMs in parallel

A middleware to provide an openAI compatible endpoint that can call MCP tools

MCP server for Storybook - provides AI assistants access to components, stories, properties and screenshots

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

MCP server for browser automation via Jan Browser extension - provides tools for web navigation, interaction, and search

Turn any openapi file into an mcp server, with just the tools you need.

A Linear MCP server for interacting with Linear's API

Publish and discover MCP servers via the official MCP Registry. Powered by HAPI MCP server.

Model Context Protocol for WinDbg.

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

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

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

Multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode: quota-aware rotation across multiple Claude/Codex subscriptions, shared thread context, and cross-model review.

Provides AI assistants with a persistent knowledge graph and experience memory, featuring context-aware routing, progressive disclosure, decay-based forgetting, and automatic promotion of important knowledge. It offers 22 MCP tools for storing, recalling, connecting, and querying knowledge, experiences, preferences, and ideas.

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches

A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

This is a 12306 ticket search server based on the Model Context Protocol (MCP).

Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

Turn local files into searchable context for AI agents.