Explore our complete collection of MCP servers to connect AI to your favorite tools.
Generates a structured map of a codebase within a Git repository to aid understanding and navigation, particularly for large language models.
Generates customized images and SVG assets tailored to specific coding styles using AI-powered design generation.
Connects molecular science tools to Claude AI for prompt-assisted molecule modeling and co-scientific interaction.
Integrates the Interactive Brokers Web API with the Model Context Protocol, enabling programmatic access to financial market data and trading functionalities.
Manages persistent context for AI coding assistants within an MCP server environment.
Provides a command-line interface for managing Tiger Cloud database services and integrates a Model Context Protocol server to assist AI agents in generating production-ready Postgres code.
Analyzes large documents and codebases token-efficiently using symbolic reasoning and a logic engine, circumventing LLM context window limitations.
Enables Large Language Models (LLMs) to interact directly with the Google Ads API using the Model Context Protocol (MCP).
Enables Large Language Models to interact with external tools and knowledge bases through a standardized Model Context Protocol.
Automates AI optimization of Linux kernel schedulers using the sched-ext framework.
Provides a flexible memory system for AI applications, integrating with MCP-compatible applications or functioning as a direct library.
Enables LLMs to interact with and manipulate JSON data through standardized tools.
Enables Large Language Models to interact with Python environments, execute code, and manage files.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Provides a web interface for interacting with Large Language Models, managing context aggregation, and coordinating client-server communication within the Model Context Protocol architecture.
Enables intelligent chat applications through the Model Context Protocol, supporting both web and desktop environments.
Provides Model Context Protocol (MCP) capability to Ruby on Rails applications, specifically as a server.
Empowers LLMs to maintain memory state across interactions using a neural memory system that learns and predicts sequences.
Generates production-ready Model Context Protocol (MCP) server boilerplate from OpenAPI specifications, enabling exposure of existing APIs as powerful tools for AI agents.
Enables command and control communication with Claude using a Python server and PowerShell client.
Exposes Jadx API over HTTP for live interaction and automation of reverse engineering workflows.
Transforms single or multi-view images into rich 3D reconstructions, optimized for Apple Silicon with Metal Performance Shaders.
Enables interaction with Markdown knowledge bases through an MCP server.
Automates and enhances WordPress management using AI-powered tools for content creation, SEO optimization, and bulk operations.
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
Integrates Storybook with Model Context Protocol (MCP) servers to enable AI agents in streamlining UI component development.
Empowers AI Agents in reverse engineering and security testing within Kali Linux environments using a suite of MCP servers.
Connects Claude desktop and other compatible AI assistants to Ahrefs data.
Enables AI to perform data analysis on various database types (SQLite, MySQL, PostgreSQL, etc.) through a unified and secure connection configuration.
Connects to managed indexes on LlamaCloud to provide queryable tools for use with MCP clients.
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