Top MCP Servers

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.

Integrates the Freqtrade cryptocurrency trading bot with MCP, exposing its REST API as tools for AI agents to perform automated trading operations.

Boost security in the development lifecycle via SAST, SCA, secrets, and IaC scanning.

Provides an interface for LLMs to visualize data using Vega‑Lite syntax, supporting saving of data tables and rendering visualizations as either a full Vega‑Lite specification (text) or a base64‑encoded PNG image.

Integrates with Google Tasks to list, read, search, create, update, and delete tasks via MCP tools.

Unifies ACK cluster management, native Kubernetes operations, observability, security audit and diagnostic capabilities into a single AI‑native toolset, allowing natural‑language interaction with AI assistants to perform complex container‑oriented AIOps tasks.

Enables secure terminal command execution, directory navigation, and fine‑grained file system operations through a standardized MCP interface.

Provides local RAG‑style web search capabilities for LLMs by fetching DuckDuckGo results, generating embeddings with MediaPipe, ranking relevance, and returning extracted markdown content without external APIs.

Create fast, free lip‑sync videos for digital avatars by providing audio or text, with optional avatar generation from images or videos.

Enables LLMs to perform travel-related tasks such as location search, place details lookup, route calculation, and timezone retrieval using Google Maps services.

Execute remote SSH commands and transfer files through a standardized MCP interface while keeping credentials isolated and secure.