Latest MCP Servers

Orchestrates a network of asynchronous agents and streaming swarms to conduct ensemble‑consensus research, automatically creating indexed PGlite databases in WebAssembly and providing semantic, hybrid, and SQL search capabilities.

Provides real-time access to shadcn-svelte component documentation and developer utilities via web scraping, exposed through an MCP server with HTTP and SSE transports.

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

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 unified enterprise gateway and registry for discovering, securing, and executing Model Context Protocol (MCP) tools via a standardized HTTP API with sandboxing and OAuth 2.1 support.

Enables AI assistants such as Claude to retrieve, create, review, and upload content in microCMS via a Model Context Protocol server.

Provides programmatic access for AI assistants to query and manage Prometheus Alertmanager resources, supporting authentication, multi‑tenant handling, and pagination to fit LLM context limits.

Provides a production‑ready foundation for building custom Model Context Protocol servers in TypeScript, featuring IP geolocation tools, a full CLI, dual STDIO/HTTP transports, TOON output format, JMESPath filtering, and an extensible 5‑layer architecture.

Enables AI applications and tools to connect to MCP servers on AWS using AWS IAM (SigV4) authentication, handling request signing automatically and providing both a command‑line proxy and a Python library.

Enables analysts to converse with OpenCTI using natural language through Claude Desktop, turning plain‑English questions into instant, context‑rich threat‑intelligence answers.

Provides a security‑first MCP server that enables AI agents to orchestrate Ghidra, Radare2, and YARA for fully automated reverse‑engineering and malware‑analysis workflows.

Enables AI assistants to interact with testing and monitoring tools via natural‑language queries, offering access to error monitoring, test management, API documentation, contract testing, and code review capabilities.

Scalable multi‑language code analysis framework built on Tree‑sitter, operable through a command‑line interface or as an MCP server for AI assistants.

Transforms natural language prompts into executable discrete-event and system dynamics simulation models, enabling LLMs to create, validate, and run simulations via a Model Context Protocol server.

Enables natural language interaction with Tableau data through AI-driven queries, supporting both Tableau Server and Tableau Cloud environments.

Install, manage, and run MCP servers in isolated containers, automatically configure popular AI coding assistants, and connect them to AI agents through a unified UI and CLI.

Provides an interactive UI popup for user input, file and image attachment, and emits a structured tag‑based output that AI agents can consume directly.

A comprehensive collection of Model Context Protocol (MCP) servers that expose Volcengine cloud resources and third‑party services through natural‑language interfaces, enabling AI‑driven operations across compute, storage, databases, networking, security, and developer utilities.

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

Enables AI assistants to interact with Anki for creating, editing, reviewing, and managing flashcards through a Model Context Protocol server.

Enables AI assistants to control Home Assistant devices through natural language commands, offering secure authentication, rate limiting, and high‑performance streaming via the Bun runtime.

Provides Django project exploration resources and a stateless shell, enabling LLM assistants to query apps, models, routes, settings and execute arbitrary Python code within a Django environment.

Manages GitHub projects with AI‑powered task generation, requirements traceability, and end‑to‑end workflow automation.

Provides a Model Context Protocol server that enables AI assistants to interact with the esa.io knowledge base, allowing reading, creating, updating, and managing posts, comments, tags, categories, and attachments via standardized tools.

Effortlessly create Model Context Protocol servers for exposing AI tools, resources, and prompts within NestJS applications.

Provides an MCP server that enables Claude Desktop to create, update, and manage Anki decks and cards via AnkiConnect.

Provides dynamic, reflective problem‑solving by tracking sequential thoughts and recommending MCP tools with confidence scores, rationale, and execution parameters.

Provides integration with Turso databases for LLMs, supporting organization‑level and database‑level operations through a two‑level authentication system.