Top MCP Servers

Connects to Kubernetes clusters to list contexts, namespaces, resources, nodes, pods, events, logs, and execute commands, exposing these capabilities through the Model Context Protocol.

Provides read and write access to Airtable bases for AI systems, enabling inspection of schemas and manipulation of records.

Enables integration between MCP clients and the Graphlit platform, providing ingestion, extraction, retrieval, and RAG capabilities across a wide range of data sources and connectors.

Interact with Microsoft 365 and Office services through the Graph API via a Model Context Protocol server, enabling tool‑based access to email, calendars, files, Teams, SharePoint and many other resources.

Provides real-time NixOS package, configuration option, and version‑history data to AI assistants via Model Context Protocol, eliminating hallucinated responses about the Nix ecosystem.

Enables AI assistants to control Home Assistant devices, query states, execute services, and manage automations using natural language.

Wrap existing stdio‑based MCP servers to run as AWS Lambda functions, exposing them via HTTPS, API Gateway, Bedrock AgentCore, Lambda function URLs or the Lambda Invoke API.

Provides a unified Model Context Protocol interface for AI agents to read blockchain state, interact with smart contracts, and perform token operations across 30+ EVM‑compatible networks.

Provides web search capabilities via the SearXNG API, exposing them through an MCP server for seamless integration with AI agents and tools.

Provides an MCP‑compatible API to control Ableton Live via OSC, enabling LLM‑driven music production workflows.

Provides integration between Linear's issue tracking system and the Model Context Protocol, enabling LLMs to create, update, search, and comment on Linear issues via MCP tools.

Provides Microsoft Teams integration via the Model Context Protocol, enabling reading, creating, replying to messages and mentioning members.

Offers a comprehensive suite of geospatial APIs and tools for developers and AI agents, enabling geocoding, reverse geocoding, POI search, route planning, weather, traffic, IP location, and real‑time traffic queries via standardized MCP interfaces.

Enables natural‑language interaction with KiCad projects through a Model Context Protocol (MCP) server, providing project management, design analysis, netlist extraction, BOM generation, DRC execution, PCB visualization, and circuit pattern recognition.

Provides AI assistants with full Xcode integration, enabling project creation, file manipulation, building, testing, CocoaPods and Swift Package Manager handling, and iOS simulator control.

Deploy HTML, folders, or zip archives to EdgeOne Pages and instantly obtain a public URL for fast edge delivery.

Deploy applications to Google Cloud Run via MCP, enabling AI agents, CLI extensions, and IDE integrations to perform deployments, list services, retrieve logs, and manage GCP projects.

Provides metacognitive sanity checks for autonomous AI agents, interrupting pattern inertia and preventing reasoning lock‑in through adaptive Critical Path Interrupts.

Enables SQL analytics on DuckDB and MotherDuck databases via a Model Context Protocol server, allowing AI assistants and IDEs to query data directly.

Interact with Twitter to post tweets and search tweets programmatically via an MCP server.

Offers an MCP server exposing Chroma's vector database capabilities for LLM applications, supporting collection and document management, multiple embedding functions, and flexible client types such as in‑memory, persistent, HTTP, and cloud.

Facilitates interactive communication between LLMs and users on the local machine, offering tools for user input, OS notifications, and persistent command‑line chat sessions.

Add code interpreting capabilities to Claude Desktop via the E2B Sandbox, available in JavaScript and Python editions.

Provides a secure, efficient, and personalized local AI chat experience with multi‑session management, markdown rendering, and extensible tool integration via MCP.

Provides a secure, unified endpoint for routing all MCP traffic, enforcing RBAC, policies, and full observability while supporting deployment on Docker, Kubernetes, Bun, or Node.

Provides advanced sequential thinking capabilities via a multi‑agent system, exposing a `sequentialthinking` MCP tool that orchestrates six specialized agents to analyze, research, and synthesize user thoughts.

Provides a secure sandbox environment for executing code within Docker containers, enabling AI applications to run untrusted code safely.

Inject relevant code and text from a project into Large Language Model chat interfaces via the clipboard or Model Context Protocol, using smart file selection based on .gitignore patterns and rule‑based customization.

Orchestrates multiple AI coding agents to collaboratively generate, test, and merge code based on a single goal, delivering deterministic execution, git worktree isolation, per‑agent credential scoping, and an HMAC‑chained audit trail.

A Model Context Protocol server that proxies DeepSeek's language models, enabling seamless integration with MCP‑compatible applications.

Enables large language models to control iOS simulators through natural language commands, offering full lifecycle management, app handling, UI interaction, debugging, and advanced simulation features.

Enables invocation of Dify workflows through Model Context Protocol, allowing tools to call Dify’s capabilities from any MCP‑compatible client.