# MCP

MCP gateway and integration catalog for AI agents

Executor is an MIT-licensed integration layer and MCP gateway for AI agents. It gives Claude Code, Cursor, Codex, and other MCP-speaking clients one endpoint for connected OpenAPI specs, GraphQL APIs, MCP servers, Google Discovery sources, and custom JavaScript tools, with local, cloud, and self-hosted deployment options for teams centralizing tool access.

Zero-config conversion of FastAPI endpoints into MCP tools

FastAPI-MCP automatically converts existing FastAPI endpoints into Model Context Protocol tools with zero configuration. With 11,700+ GitHub stars, it is the most popular MCP integration layer, enabling thousands of FastAPI developers to make their APIs accessible to AI agents like Cursor and Claude through the MCP standard.

Turn a Figma design system into a programmable API for AI assistants

Figma Console MCP is open-source design-system infrastructure that exposes Figma to AI assistants through MCP. It supports structured extraction, design creation and editing, debugging, accessibility audits, and bidirectional design-token workflows across local, remote read-only, and paired cloud modes; it is not a generic one-click Figma-to-code exporter.

MCP server directory and gateway

AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.

First-party MCP server for querying and managing Grafana

Grafana's official Model Context Protocol server, letting AI assistants search dashboards, query datasources, and manage alerts/incidents on your Grafana instance through a standard MCP interface.

Build real-time temporal knowledge graphs for AI agents

Graphiti is an open-source Python framework by Zep for building temporally-aware knowledge graphs for AI agents. It continuously integrates conversations, business data, and external information into queryable graphs with bi-temporal tracking. The hybrid retrieval combines semantic search, BM25 keywords, and graph traversal for sub-300ms queries without LLM calls at retrieval time.

Turn code repositories into source-grounded wikis and docs

Desktop workspace that transforms local and remote git repositories into source-grounded wikis, architecture documents, and interactive Ask sessions. Integrates directly with existing CLI agents including Grok CLI, Claude Code, and Codex without requiring proprietary cloud infrastructure. Generates verifiable file citations, Mermaid diagrams, and Obsidian-compatible exports while ensuring private codebase data remains strictly on the local machine.

AI-native terminal multiplexer and session orchestrator for CLI agents

Herdr is an open-source terminal multiplexer built for AI coding agents. It orchestrates parallel sessions, tracks lifecycle states, maintains persistent background runtimes, and provides MCP and socket APIs for inter-agent coordination.

AI-native API gateway by Alibaba with MCP server hosting and LLM routing

Higress is an open-source AI-native API gateway developed by Alibaba that combines traditional API management with LLM-specific capabilities like token-based rate limiting, model routing, prompt caching, and MCP server hosting. Built on Envoy and Istio, it provides enterprise-grade traffic management while natively understanding AI workload patterns including streaming responses, long-lived connections, and multi-model fallback chains.

Agent memory system that learns, not just remembers

Hindsight is an agent memory system that enables AI agents to learn from experience rather than just store conversations. It organizes memories into three biomimetic categories: World knowledge for facts, Experiences for agent events, and Mental Models for learned understanding. The system provides retain, recall, and reflect operations backed by a temporal knowledge graph with parallel retrieval strategies including semantic, keyword, graph traversal, and temporal search.

HubSpot's hosted MCP server for CRM data and workflows.

HubSpot MCP Server is HubSpot's hosted remote MCP server for connecting compatible AI tools to CRM data. It uses OAuth 2.1 with PKCE through MCP auth apps, then exposes HubSpot context such as contacts, companies, deals, tickets, activities, and marketing or content objects according to user permissions, granted scopes, and sensitive-data restrictions in the account.

Turn technical documentation into AI search, RAG, and agents

Technical knowledge and AI agent platform that connects documentation, code repositories, and support platforms into unified search and customer-facing assistants. Features a TypeScript SDK and a no-code visual builder with full two-way synchronization. Delivers citation-backed answers, out-of-the-box MCP server integration, knowledge gap analytics, and seamless embedding across developer portals and help desks.

Intercom's remote MCP server for support and Help Center context.

Intercom MCP Server is Intercom's hosted remote MCP server for connecting AI tools to Intercom workspace data. It supports the recommended Streamable HTTP endpoint, OAuth or bearer-token authentication, and tools for conversations, contacts, companies, and Help Center article workflows, with access limited by token permissions and Intercom workspace policy.

Agentic development environment for parallel multi-vendor coding agents

JetBrains Air is a standalone Agentic Development Environment for defining coding tasks, running agents such as Claude Agent, Codex, Gemini CLI, and Junie in isolated Local / Git Worktree / Docker / Cloud environments, then reviewing and applying results with project-aware navigation—without replacing IntelliJ-family IDEs.

Coding data, MCP integrations, and sandboxed tool-use environments

Klavis AI combines long-horizon coding and agentic data environments for post-training, Strata and MCP integrations for connecting AI agents to external APIs and SaaS tools, and MCP Sandbox for agent training and evaluation.

IBM-backed ContextForge gateway for federating MCP, A2A, REST, and gRPC APIs

MCP Context Forge is IBM’s Apache-2.0 ContextForge project for operating a gateway, registry, and proxy across MCP servers, A2A agents, REST APIs, and gRPC services. It centralizes discovery, authentication, policy controls, federation, and observability, with deployment paths through PyPI, Docker, and Kubernetes.

Anthropic's open standard for connecting AI models to tools and data

Model Context Protocol (MCP) is Anthropic's open standard that defines how AI models communicate with external tools, resources, and data sources. Provides a universal client-server architecture for connecting LLMs to any API or service through standardized tool definitions, resource access, and prompt templates. Rapidly adopted across the AI industry as the interoperability standard for AI tool integration.

Community MCP server registry

Community-curated directory of Model Context Protocol (MCP) servers that extend AI assistants like Claude with real-world capabilities — file access, database queries, API integrations, browser control, and more. Lists servers organized by category (developer tools, data, productivity) with installation instructions and compatibility info. Helps developers discover and connect MCP servers to their AI workflows. Essential resource for the growing MCP ecosystem.

Open-source MCP server for database access

MCP Toolbox for Databases is an open-source MCP server by Google that connects AI agents to databases through a managed control plane. It handles connection pooling, authentication, and tool distribution, letting developers integrate database tools in under 10 lines of code. Supports PostgreSQL, MySQL, BigQuery, AlloyDB, Snowflake, MongoDB, Redis, ClickHouse, Neo4j, and more with ready-to-use toolsets for Claude Code, Gemini CLI, and other MCP clients.

Open-source MCP bridge between AI assistants and the Unity Editor

MCP for Unity is CoplayDev’s MIT-licensed bridge between MCP-compatible AI assistants and the Unity Editor. It exposes tools for assets, scenes, GameObjects, scripts, tests, profiling, and build-oriented workflows. The community project supports Unity 2021.3 LTS through 6.x and is explicitly not affiliated with Unity Technologies.

Test and debug MCP servers before they ship

Open-source platform for inspecting, debugging and regression-testing MCP servers, MCP Apps and ChatGPT apps, with OAuth and protocol conformance for local and CI workflows.

CLI package manager for MCP servers with profile-based configuration

MCPM is a command-line package manager for MCP servers that handles installation, configuration, and profile management. It supports profile-based server grouping where different AI workflows use different sets of MCP servers. Features a server registry, automatic dependency resolution, and configuration file management for Claude Desktop and other MCP clients.

MCP server manager for installing and running Model Context Protocol servers

MCPorter is a management tool for discovering, installing, and running MCP servers. It provides a registry of available servers, handles dependency installation, manages configuration, and starts servers with proper environment setup. Simplifies the process of connecting AI agents to external tools through MCP by abstracting server lifecycle management. Over 5,700 GitHub stars.

Enterprise-grade RAG and MCP knowledge base with one-click deployment

MaxKB is an enterprise-grade RAG platform with 21,000+ GitHub stars from the 1Panel team. It provides one-click deployment of knowledge bases with built-in LLM integration, MCP support, and a streamlined approach to document ingestion and retrieval that prioritizes operational simplicity over configuration complexity.

MCP server for MiniMax speech, video, and image APIs

Official MiniMax Model Context Protocol server enabling AI applications and code editors to access text-to-speech, voice cloning, image generation, video generation, and music creation APIs. Designed for Claude Desktop, Cursor, and Windsurf integration with stdio and SSE transport support, regional API endpoints for global and China regions, and flexible resource handling for seamless generative AI workflows.

Community-built, local-first terminal coding agent — bring your own model

An open-source terminal coding agent from the non-profit Nano Collective. Runs agentic coding on the model of your choice — local via Ollama or any OpenAI-compatible API — with no paid tiers and nothing gated behind a vendor.

Official Notion MCP server for AI-agent workspace access

Notion MCP Server is Notion's official MIT-licensed MCP server for connecting AI assistants to Notion workspaces. It supports the vendor-backed remote OAuth path and tools designed for page, workspace, and Markdown-style operations, making it a safer default than unofficial Notion bridges for teams already using Notion for docs, projects, or internal knowledge bases.

AI coding agent with hash-anchored edits, LSP, subagents, and browser tools

AI-powered code migration tool that automates framework upgrades, language migrations, and API version transitions. Analyzes your codebase to generate migration plans, then applies changes systematically across affected files. Reduces the risk and effort of major upgrades by handling the tedious, error-prone aspects of codebase-wide transformations that would take developers weeks to complete manually.

Alibaba's open-source hybrid AI code reviewer with line-level comments

Open-source (Apache-2.0) CLI code reviewer from Alibaba that pairs deterministic rule pipelines with an LLM agent to post precise, line-level review comments. Runs locally or in CI, is provider-agnostic across OpenAI/Anthropic-compatible endpoints, and ships built-in rules for common defects.

Connect 2,800+ APIs for workflows and AI agents

Pipedream is a developer-focused workflow automation platform that connects over 2,800 APIs with managed OAuth and credential handling, letting teams build integrations using Node.js, Python, Go, or Bash alongside a visual no-code builder. Its MCP server exposes 10,000+ pre-built tools to AI agents for direct API access through LangChain, CrewAI, and other frameworks. Pipedream is SOC 2 Type II and HIPAA compliant with credit-based pricing starting at a free tier of 100 credits per month.

Apple's Safari-native MCP server for web debugging agents

Safari MCP Server is Apple's safaridriver-based MCP server in Safari Technology Preview, giving compatible coding agents local access to Safari page content, console logs, network requests, screenshots, JavaScript evaluation, interactions, viewport controls, and accessibility/performance checks.

Validated agent skills and database connectors for AI co-scientist workflows

Scientific Agent Skills is an open-source library of 165+ validated agent skills and 100+ scientific database connectors. It equips AI agents across Claude Code, Cursor, and Codex with specialized workflows for biology, chemistry, and research.

Rust-powered coding agent and pair programmer by OVH

ShAI (Shell AI) is a CLI that brings natural language to the command line, turning plain English descriptions into executable shell commands tailored to your OS and shell. Offers command generation plus command explanation (paste an unfamiliar command, get a breakdown). Adapts syntax for macOS, Linux, and Windows across bash, zsh, fish, and PowerShell. The OVH shai variant extends further into a full pair-programming coding agent with support for multiple LLM providers.

Extensible open-source AI code review agent with emerging QA automation

Open-source (MIT) AI code-review agent formerly known as Code Review GPT. Its released workflow reviews pull requests in GitHub Actions or staged changes locally, supports remote MCP tools and project instruction files, and works with Anthropic, OpenAI, OpenRouter, and Cloudflare providers. The main branch also contains an unreleased autonomous QA workflow. Anonymous usage telemetry is enabled by default and can be disabled.

State-machine guardrails for controlling which tools AI coding agents can use at each phase.

Statewright is a guardrail layer for AI coding agents that uses explicit state machines to control what an agent can do at each stage of a workflow. Instead of relying only on prompt instructions, teams can model phases such as plan, implement, test, and review, then constrain tool access for clients like Claude Code, Codex, Cursor, opencode, and related MCP workflows.

Open-source Firecracker sandboxes for long-running AI agents

Superserve is an open-source sandbox infrastructure layer for AI agents that need durable computers instead of short-lived shells. It runs isolated Firecracker microVMs, supports pause, resume, snapshot, fork, preview URLs, MCP connectivity, SDK/API control, Docker workloads, and self-hosting, while the hosted service adds pay-as-you-go agent sandboxes for teams.

IDE for the AI Agents Era — run an army of coding agents in parallel

Open-source meta-IDE that orchestrates 10+ AI coding agents (Claude Code, Codex, OpenCode) in parallel. Uses git worktree isolation to prevent conflicts, with a unified monitoring dashboard and batch diff review. With 7.9k+ GitHub stars, it's the go-to tool for teams that want to scale AI-assisted development across multiple concurrent tasks.

Run and govern MCP servers across desktop, CLI and Kubernetes

Open-source MCP runtime and governance platform that runs servers in isolated containers, curates registries, enforces access policies, and operates gateways across desktop, CLI, and Kubernetes.

Tool infrastructure for AI agents

Cloud platform providing optimized tools for AI agents with a universal SDK for Python and TypeScript. Works with any LLM provider and enables one-line tool integration. Handles authentication, rate limiting, and caching for external APIs so agent developers can focus on logic rather than plumbing, dramatically reducing the boilerplate needed for production agents.

MCP-native personal context vault for keeping AI agents aligned with your work, voice, and projects.

Unabyss is a personal context headquarters for AI agents. It syncs sources such as email, Slack, Notion, Drive, meetings, and professional profiles into structured context files that can be served to MCP-capable clients. The strongest angle is not generic note taking; it is permissioned, reusable context for Claude, Cursor, custom agents, and other tools that otherwise need the same background explained repeatedly.

Open-source AI code editor focused on privacy

Open-source AI code editor with zero data retention and direct API connections. Supports local models via Ollama and LM Studio, ensuring complete privacy over your code. Built as a VS Code fork with agent mode and MCP support, offering the familiar VS Code experience while giving developers full control over which AI models they use and where their data goes.

Sentry-maintained MCP server and CLI for Xcode builds, simulators, and tests

XcodeBuildMCP is a Sentry-maintained, MIT-licensed MCP server and CLI for agent-assisted iOS and macOS development. It lets MCP-compatible coding agents run Xcode build and test workflows, manage simulators, inspect failures, and work through Homebrew, npm, or on-demand client configuration, with documented Sentry telemetry controls for teams that need an opt-out.

Z.ai desktop agentic development environment for GLM-5.2 coding

ZCode is Z.ai’s Agentic Development Environment for GLM-5.2 coding workflows. The desktop app combines a first-party coding agent, goal mode, model/provider setup, MCP server management, Git and terminal context, remote phone control, usage stats and safety confirmation modes so developers can plan, implement, review and iterate on long-running software tasks from one workspace.

Context engineering platform for AI agents with temporal knowledge graphs

Zep is a context engineering platform that assembles relationship-aware context for AI agents from conversations, business data, documents, and events. It maintains a temporal knowledge graph that automatically extracts entities and relationships, tracking how context evolves over time. Zep delivers formatted context blocks optimized for LLMs with sub-200ms latency, integrating with LangChain, LlamaIndex, AutoGen, and Google ADK through Python, TypeScript, and Go SDKs.

Filesystem-first framework for durable AI agents

Eve is Vercel's filesystem-first TypeScript framework for building durable AI agents as ordinary project files. It combines Markdown instructions and skills, typed tools, channels, connections, subagents, schedules, sandboxes, and evals with Vercel's agent runtime so teams can ship deployable agents without hand-rolling orchestration. The current beta fits Vercel-native backend agent projects.

AI agent skill that researches topics across social platforms and web

last30days-skill is an agent skill for Claude Code and other AI coding agents that researches topics by scanning social platforms, news sites, and web sources from the past 30 days. It aggregates recent discussions, launches, and community sentiment into actionable research summaries. With 17,400 GitHub stars and MIT license, it has become one of the most popular agent skills in the emerging ACP ecosystem.

Composable agent orchestration via MCP servers

mcp-agent is an open-source framework with 8K+ GitHub stars for building AI agents that leverage MCP (Model Context Protocol) servers as composable tool providers. Agents connect to multiple MCP servers simultaneously, gaining access to diverse capabilities without custom integrations. Supports multi-agent workflows, parallel tool execution, and automatic server discovery. Designed to make MCP the universal interface between AI agents and external tools, databases, and services.

Protocol bridge converting MCP stdio transport to HTTP/SSE endpoints

mcp-proxy is a protocol bridge that converts MCP servers using stdio transport into HTTP and Server-Sent Events endpoints accessible over the network. This enables remote MCP server hosting, load balancing, and sharing servers across multiple AI clients. Supports both directions: wrapping stdio servers with HTTP and connecting to remote SSE servers through local stdio. Over 2,400 GitHub stars.