Explore our complete collection of MCP servers to connect AI to your favorite tools.
Integrates AI assistants like Claude with Databricks workspaces by hosting Model Context Protocol prompts and tools on Databricks Apps.
Transcribes YouTube videos to integrate transcription capabilities into applications.
Counts the occurrences of a specific character within a given text.
Enables AI assistants to perform real-time web searches using the Exa AI Search API.
Empowers AI assistants with fundamental stock technical analysis capabilities, including moving averages, RSI, and trade recommendations.
Captures contextual reasoning and successful patterns to enhance AI-driven development, conversation continuity, and reinforcement learning.
Provides a robust, example implementation of a Model Context Protocol (MCP) server using the FastAPI framework.
Integrates Google Drive functionalities with the Model Context Protocol (MCP), providing a comprehensive suite of tools for cloud file management.
Provides a standardized interface for Large Language Models to interact with GitHub and GitLab repositories, issues, and CI/CD pipelines.
Empower AI assistants to manage GitHub Projects V2, including items, fields, and views, through a standardized protocol.
Enables AI-powered applications to interact with and analyze browser data through a Chrome extension.
Facilitates project planning and management directly from the command line, especially for software development projects.
Enables Claude Desktop and other AI tools to directly interact with Figma for AI-assisted design capabilities.
Automates API testing for various AI host environments using Postman Collections.
Provides a foundational Model Context Protocol server for building MCP-compatible applications.
Integrates Atlassian Jira and Confluence to allow AI assistants direct interaction with these platforms.
Analyzes and monitors server status using natural language queries for simplified management.
Provides a persistent memory layer for large language models using a local knowledge graph to store and retrieve user information across chats.
Facilitates multilingual translation and resource management via the Model Context Protocol (MCP).
Wraps Cisco Catalyst Center APIs, enabling their use as tools within AI agents via the Model Context Protocol (MCP).
Integrates advanced web scraping and data extraction capabilities with large language model clients.
Integrates up-to-date, version-specific code documentation and examples directly into LLM prompts to enhance code generation accuracy.
Provides a customizable Model Context Protocol server for developing and integrating specialized tools with AI agents.
Enables a remote Model Context Protocol (MCP) server deployment on Cloudflare Workers with OAuth login.
Enables AI applications to send emails via Gmail API with secure multi-user authentication and full composition capabilities.
Enable posting of text messages to Google Chat spaces through secure webhook-based integration.
Provides a build-less TypeScript quickstart for developing an MCP server implementation.
Compares prices and generates smart purchase reports across top e-commerce platforms using AI.
Manages AWS resources through the Model Context Protocol using AWS CLI or boto3.
Simplifies documentation by leveraging AI for semantic understanding and search of content.
Scroll for more results...