Top MCP Servers

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.

Wanaku MCP Router connects AI-enabled applications using the Model Context Protocol (MCP).

Runs Replicate models through the Model Context Protocol, exposing tools for model discovery, prediction management, and image handling via a simple CLI interface.

Provides a Model Context Protocol (MCP) server that lets AI agents call Webflow's Data API for site, page, component, CMS, and custom‑code operations.

Provides a comprehensive test platform that enables managing test cases, executing manual or automated tests, debugging issues, and fixing code via natural language commands within AI‑enhanced IDEs and MCP‑enabled clients.

Bridge LSP servers to provide hover information, completion suggestions, diagnostics, and code actions for large language models.

Enables AI assistants to operate Alibaba Cloud resources such as ECS, Cloud Monitor, OOS and other services through seamless integration with Alibaba Cloud APIs via the Model Context Protocol.

Enables secure interaction with OceanBase databases and related tools through a Model Context Protocol server.

Interact with Box services to search files, read content, manage folders, run AI queries, extract structured data, handle metadata, and generate documents via a Python‑based MCP server.

Provides a Model Context Protocol server that implements the “think” tool, enabling agents to pause, record explicit thoughts, and improve multi-step reasoning without altering the environment.