Top MCP Servers

Centralizes ESP‑IDF commands and enables LLM‑driven interaction to streamline ESP32 project setup, building, flashing and issue fixing.

Provides real-time GUI dialogs for AI assistants to gather user input, present choices, confirmations, and feedback, enabling seamless human‑in‑the‑loop interactions.

Generate speech audio from text via ElevenLabs API and manage voice generation tasks through a Model Context Protocol server with a companion SvelteKit web client.

Provides seamless integration with Notion, enabling language models to search, read, create, and update pages and databases through standardized tools.

Provides AI-powered project management capabilities via a Model Context Protocol server, allowing assistants to create, list, update, and delete tasks and documents in Dart without directly handling the underlying API.

Provides an LLM‑powered autonomous coding assistant with command‑line, graphical, and MCP server interfaces for real‑time code analysis, modification, and project exploration.

Provides a Model Context Protocol server that wraps Apache Airflow's REST API, enabling MCP clients to manage DAGs, runs, tasks, variables, connections, and more through standardized endpoints.

Provides a bridge between the Model Context Protocol and Xero's API, enabling standardized access to Xero accounting and business features.

Provides a full‑stack TypeScript framework for building, testing, and deploying production‑ready MCP servers and AI‑native applications.

Facilitates communication between Roblox Studio and AI assistants via a Model Context Protocol server, enabling tool execution such as model insertion and code running directly from prompts.

Enables Claude AI to control Jupyter Notebook 6.x through a WebSocket bridge, providing two‑way communication for cell manipulation, notebook management, and output retrieval.

Enables natural language interaction with Salesforce data and metadata through Claude, allowing queries, modifications, and management of objects and records.

Provides tools to retrieve and query OpenTelemetry trace and metric data from Pydantic Logfire, allowing LLMs to analyze distributed traces and run arbitrary SQL queries against telemetry records.

Provides a Model Context Protocol server that enables LLMs like Claude to manage Ghost CMS content and settings via secure admin API calls.

Connects AI agents and assistants to Postman APIs, enabling natural‑language access to workspaces, collections, environments, and API specifications.

Provides intelligent semantic code search for AI assistants by indexing codebases with local AI model embeddings and exposing searchable context through the Model Context Protocol.

Enables AI assistants to securely interact with Odoo ERP systems, offering standardized resources for searching, creating, updating, and deleting business records.

Bridge between AI assistants and StarRocks databases, enabling direct SQL execution, schema exploration, data visualization and detailed overviews without complex client‑side setup.

Enables AI assistants to retrieve, create, and manage HubSpot CRM data with built‑in FAISS vector storage and caching to improve response times and overcome API limits.

Connect AI assistants to WHOOP health and fitness data via a lightweight MCP server.

Build, run, and govern AI agents on your own infrastructure, with support for RAG, browser automation, budget controls, approvals, and an auditable run history.

A searchable collection of over 262 expert Claude configurations, MCP servers, agents, commands, hooks, and rules to boost Claude AI performance for specific tasks.

Seamlessly manage emails through natural language conversations with Claude, supporting secure search, reading, and sending.

Provides repository management, build tracking, runtime monitoring, security scanning, and package catalog capabilities for the JFrog Platform via Model Context Protocol.

Provides AI agents instant access to Apple developer documentation through semantic, keyword, and hybrid retrieval‑augmented generation (RAG) techniques.

Provides durable, hybrid retrieval memory for AI agents, supporting dense vector, SPLADE sparse, and Neo4j graph contexts, with workspace and agent scoping, all deployable via Docker Compose.

Provides access to Shopify store data via GraphQL through an MCP server, enabling product, customer, and order management directly from compatible MCP hosts.

Production‑grade TypeScript template for building Model Context Protocol servers with declarative tools, robust error handling, dependency injection, pluggable authentication, optional OpenTelemetry, and seamless support for both local execution and Cloudflare Workers edge runtimes.

Provides a Model Context Protocol (MCP) server that enables Claude to interact with Chronulus AI forecasting and prediction agents.

Enables AI assistants to retrieve SonarQube code quality metrics, issues, security hotspots, and analysis results through the Model Context Protocol.

A unified AI development platform that provides a TypeScript SDK and professional CLI to build, test, and deploy applications across multiple AI providers, with built‑in tools, MCP integration, and enterprise‑grade features such as Redis conversation memory, cost optimization, and multi‑provider failover.

Provides a recomputation‑leak‑free graph index for codebases and markdown vaults, enabling AI agents to reuse previously computed structure instead of repeatedly reading files, traversing dependencies, and inflating context windows.