Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables AI models to interact with Ethereum Layer 2 networks for deploying tokens and managing transactions.
Enables LLMs to securely read and list files from a designated directory on a local machine.
Provides real-time financial data and calculations through a set of APIs.
Manages notes with a robust Model Context Protocol (MCP) server.
Centralizes Model Context Protocol (MCP) servers to enhance AI capabilities.
Provides an auto-generated Model Context Protocol (MCP) server for the HubSpot Marketing API.
Facilitates comprehensive management of JianDaoYun form data, supporting CRUD operations and advanced queries through a Model Context Protocol (MCP) service.
Streamlines file modifications by providing efficient, targeted editing capabilities using common command-line tools like `sed` and `awk`.
Showcases Model Context Protocol (MCP) servers that enable Large Language Models (LLMs) to securely access Azure tools and data.
Enables AI models to interact with the Nostr network, facilitating censorship-resistant communication and content posting.
Enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.
Monitors the status of Minecraft Bedrock and Java servers via a headless setup with an HTTP JSON API.
Specifies server behavior for various automations based on the Model Context Protocol.
Provides secure command-line interactions on Windows systems via PowerShell, CMD, Git Bash, and SSH.
Implements a Model Context Protocol (MCP) server and client using WebSockets for improved communication with local language models.
Serves as a MCP server implementation based on the Marker project.
Provides an interface to access Brewfather data.
Enables AI models to interact with MySQL databases through a standardized interface.
Provides Yr weather data as context for Large Language Model (LLM) tools.
Enables interaction with the Bitbucket Server API for pull request management through the Model Context Protocol.
Provides a basic server implementation for use with the MCP CLI.
Enables AI assistants to manage Google Calendar events through natural language interactions.
Defines the specification and protocol schema for the Model Context Protocol.
Enables AI assistants to query comprehensive college football statistics and data from the College Football Data API.
Provides file system operations, including reading, writing, creating, moving, searching, and retrieving metadata for files and directories.
Provides financial analysis capabilities through access to real-time and historical stock data and company fundamentals.
Enables Large Language Models to interact with and manipulate JSON data through standardized tools.
Provides access to Jewish texts from the Sefaria library for Large Language Models via the Model Context Protocol.
Enables AI assistants to programmatically manage Jira issues through Jira's REST API.
Facilitates high-performance Manchu-Chinese bidirectional translation using advanced linguistic processing and deep learning.
Scroll for more results...