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MCP Servers
Discover the top MCP Servers in 2026. Compare architecture, pricing tiers, performance benchmarks, and open-source developer alternatives.
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A Model Context Protocol server is a small process that hands one capability to an agent — repository access, live documentation, a browser, a database — over a standard interface, so the agent does not need bespoke glue per integration. If you run Claude Code, Cursor or Copilot and you have ever copy-pasted a file into a chat to give it context, this is the shelf that removes that step.
The useful split on this shelf is between servers that do something and infrastructure that manages servers, and most readers arrive shopping for the first while the second is what eventually bites them.
Capability servers are the obvious half. Context7 (88 in Context7) serves version-pinned documentation, which targets the failure mode where a model writes an API call that was correct two releases ago. GitHub MCP Server (89) exposes the repository, issue and pull-request surface directly. chrome-devtools-mcp (88, Apache-2.0) lets an agent profile and debug a real page instead of reasoning about it. Serena (86) attaches a language server so the agent gets symbol-level understanding rather than grep. Firecrawl MCP Server (84) covers the open web.
The management half matters as soon as you are running more than two or three. Every server you install is another process with your credentials, and the honest read on directories like Smithery (78) is that convenience and trust are traded against each other — you are running code someone else published. That is exactly the gap Docker MCP Gateway (87, MIT) addresses with a catalog, image verification, container limits, secret scanning and tool allowlists. FastMCP (87, Apache-2.0) is the other side of the same problem: if the server is yours, you control what it can reach, and authentication and logging become your responsibility rather than a vendor's.
Recent additions to the catalog track that shift: a gateway, an official registry, and a vulnerability scanner are plumbing rather than capability. When a scanner and a registry land in the same batch, the ecosystem has moved past the "install everything and see" phase, and your install policy should move with it.
Most tools here are open source, which for this category is more consequential than usual: an MCP server you cannot read is an unaudited process holding your tokens. Most do not yet carry a scored review. And verify licenses individually — Directus is free to self-host under MSCL-1.0-GPL but is not flagged open source in our catalog, and Vanna AI's public repository is archived and read-only even though the commercial product continues.
Pick one capability server, run it for a week, and decide on a gateway before you install the fourth.
showing 46 of 94 tools
MCP server for secure database tooling with AI agents
Google GenAI Toolbox is an open-source MCP server from Google that specializes in easy, fast, and secure database tools for AI agents. It provides structured database access through the Model Context Protocol, enabling agents to query, inspect schemas, and manage data across supported databases with built-in security controls.
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.
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.
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.
ACP skill definitions giving coding agents HuggingFace ML superpowers
Hugging Face Skills is the official collection of ACP skill definitions that give AI coding agents access to HuggingFace ML capabilities. The 13 skills cover LLM fine-tuning with TRL, vision model training, dataset management, model evaluation, and cloud job submission on HF infrastructure. Compatible with Claude Code, Codex, Gemini CLI, and Cursor via a single npx command.
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.
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.
Community self-hosted MCP server for Jira and Confluence (Python)
MCP Atlassian is a community-built, self-hosted Python MCP server (sooperset/mcp-atlassian) that connects AI coding agents to Jira and Confluence using API tokens or personal access tokens. It runs on your own infrastructure and supports both Cloud and Server/Data Center deployments — a flexible alternative to Atlassian's official remote MCP server when you need on-prem control, custom auth, or self-managed configuration.
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.
Official TypeScript SDK for building MCP servers
The official TypeScript SDK for the Model Context Protocol, providing everything needed to build MCP servers and clients. Supports stdio, SSE, and Streamable HTTP transports with built-in auth helpers. Works across Node.js, Bun, and Deno runtimes for maximum deployment flexibility.
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.
Self-hosted MCP gateway for managing multiple servers behind a single endpoint
MCPJungle is a self-hosted gateway that aggregates multiple MCP servers behind a single endpoint. It provides server discovery, health checking, access control, and request routing so AI clients connect to one gateway rather than managing individual server connections. Supports server grouping, authentication, and monitoring dashboards for production MCP deployments.
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.
MCP server for AI-powered UI component generation
Magic MCP is an MCP server from 21st.dev that enables AI agents to generate polished UI components inspired by modern design engineering patterns. It gives coding agents access to a library of high-quality component templates and design patterns, accelerating frontend development through intelligent component scaffolding.
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.
Connect AI agents to hundreds of integrations via one interface
Metorial is an open-source integration hub that connects AI agents to hundreds of third-party services through a single interface with built-in OAuth handling, scaling, and monitoring. It simplifies the complexity of managing multiple MCP connections by providing a unified connector layer for agentic workflows.
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.
MCP server for mobile device automation and testing
Mobile MCP is an open-source MCP server that enables AI agents to automate Android and iOS devices — navigating apps, tapping elements, extracting screen content, and running tests on simulators, emulators, and physical devices. It brings agentic mobile engineering to any MCP-compatible AI assistant.
Observability data accessible to AI agents via MCP
Netdata's MCP integration exposes infrastructure monitoring, discovery, and root-cause analysis capabilities to AI agents. Built into the 78K+ star Netdata monitoring platform, it lets agents query real-time metrics, explore system health, investigate incidents, and generate observability reports through the Model Context Protocol.
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.
Microsoft's MCP server for structured browser automation by AI agents
Playwright MCP is Microsoft's Model Context Protocol server that enables AI agents to automate web browsers through structured tool calls. It exposes Playwright's browser automation capabilities as MCP tools for navigation, clicks, forms, extraction, and screenshots. The Microsoft-maintained repo has 30K+ GitHub stars and is a durable default for structured browser interaction in agent workflows.
On-device hybrid search engine for your docs and notes
QMD is an on-device search engine built by Tobi Lütke (Shopify CEO) that indexes markdown notes, meeting transcripts, and documentation locally. It combines BM25 full-text search, vector semantic search, and LLM-powered re-ranking into a single hybrid pipeline. Ships with a built-in MCP server for seamless integration with Claude Code, Cursor, and other AI editors. All processing happens on your machine via node-llama-cpp with GGUF models — zero cloud dependency.
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.
Package manager for MCP servers and agent skills
Smithery is a CLI tool and registry for discovering, installing, and managing MCP servers and agent skills. It lets developers search thousands of available servers, install them with one command, inspect available tools, and connect their AI coding agents to external capabilities through the Model Context Protocol standard.
Self-hosted code understanding for humans and agents
Sourcebot is a self-hosted code intelligence platform that helps developers and AI agents understand large codebases through intelligent search, navigation, and inline-cited answers. Deployed as a Docker container with MCP server support, it indexes thousands of repositories without source code leaving your infrastructure.
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.
Mozilla-backed browser infrastructure for AI agents
Tabstack is Mozilla's browser infrastructure service for AI agents, providing clean markdown extraction, structured JSON data, and automated browser actions through a fast API. With two-tier fetch escalation that achieves sub-600ms latency for static pages, robots.txt compliance, and ephemeral data handling, it offers an ethical alternative to aggressive web scraping tools — complete with an MCP server for Claude and Cursor integration.
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.
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.
Persistent memory layer for AI coding agents — keeps Claude Code, Codex, Cursor, and any MCP agent in context across sessions
agentmemory is an open-source MCP server that gives AI coding agents persistent, cross-session memory. Built on hybrid vector-graph search, it achieves 95.2% recall on the LongMemEval-S benchmark while using up to 92% fewer context tokens than naive context injection. Works out of the box with Claude Code, Codex, Cursor, Windsurf, Cline, OpenCode, Kilo Code, Hermes, and any MCP client through 51 MCP tools plus 12 hooks and 4 skills.
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.
Fullstack MCP framework connecting any LLM to MCP servers
mcp-use is an open-source framework that enables any LLM to interact with MCP servers through a unified client interface. It bridges the gap between models that lack native MCP support and the growing ecosystem of MCP tools by providing automatic tool discovery, execution management, and multi-server orchestration. Supports both direct LLM connections and agent-based workflows. Over 9,000 GitHub stars.
Hosted MCP server platform
Platform for running MCP servers securely in WebAssembly sandboxes. One-click install for Claude Desktop, VS Code, and other MCP-compatible clients with no Docker required. Simplifies MCP server deployment and management by handling isolation, security, and distribution, making it easy to extend AI assistants with custom tools without infrastructure overhead.
Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI — at runtime, with zero codegen.
mcp2cli turns MCP servers, OpenAPI specs, and GraphQL endpoints into standard CLIs at runtime — no codegen, no schema bloat. Tools and arguments load only when requested via --list and --help flags, cutting up to 96–99% of the tokens that native MCP integrations waste on schema preloading. Works with Claude Code, Cursor, Codex, and any agent that can call shell commands, and ships with OAuth, stdio/HTTP/SSE transports, and a bake mode for reusable connections.
Community MCP server for n8n node knowledge, workflow drafting, and validation
n8n-MCP is an independent, MIT-licensed community server that gives MCP-compatible assistants structured access to n8n node documentation, properties, templates, and workflow validation helpers. It is distinct from the existing n8n product page and covers the MCP layer used from clients such as Claude, Cursor, Windsurf, and Codex.