Top MCP Servers

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.

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 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.

Send BNB, transfer BEP‑20 tokens, deploy BEP‑20 contracts, and interact with smart contracts on Binance Smart Chain via a CLI or Model Context Protocol‑compliant server.

Blazingly fast, asynchronous, and lightweight MCP server that handles filesystem operations efficiently. Starts read‑only by default, supports advanced glob pattern matching, and allows creation of nested directories, all compiled into a single binary with minimal resource footprint.

Build, run, and deploy tools for AI agents, enabling seamless integration with LLM frameworks, data sources, and cloud endpoints.

Provides IMAP and SMTP access through the MCP protocol, enabling AI agents to read and send emails.

Provides a Model Context Protocol (MCP) server that integrates with Vectorize to enable vector‑based document retrieval, text extraction, and deep research capabilities for LLM workflows.

Dynamically creates, runs, and manages MCP servers as child processes, providing a flexible ecosystem for server orchestration.

Enables AI assistants to manage Confluent Cloud resources such as Kafka topics, connectors, and Flink SQL statements through natural‑language interactions.

Provides a comprehensive set of cryptocurrency technical analysis indicators and ready‑to‑use trading strategies through an MCP interface, enabling AI agents and applications to generate buy, hold, or sell signals.

Provides real-time AI-driven control of the Unity Editor, enabling agents to read scene hierarchy, manipulate project files, execute C# code, monitor logs, and control play mode directly from an MCP server.