MCP Servers

The Keboola MCP Server repository provides a Model Context Protocol server for interacting with Keboola Connection, enabling users to list and access data from the Keboola Storage API.

The xcodebuild MCP server builds iOS projects, enabling seamless workflows in Visual Studio Code with extensions like Cline or Roo Code. It supports building and testing iOS Xcode workspaces or projects.

The NASA MCP Server provides a standardized interface for AI models to access over 20 NASA data sources, offering optimized data formats, parameter validation, and rate limit management for efficient AI consumption.

This repository provides a curated list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants, enabling secure interactions with local and remote resources. It includes file

This repository provides an MCP server that executes Postman collections using Newman, enabling LLMs to run API tests and receive detailed results through a standardized interface. This repository provides an

This repository provides a JVM monitoring MCP server based on Arthas, offering a Python interface for analyzing Java processes locally or remotely. It supports real-time thread and memory monitoring, along

This repository provides a scalable solution for OpenAPI endpoint discovery and API requests, utilizing in-memory semantic search and a FastAPI server to efficiently serve API documentation to MCP clients.

The mcp-rs-template is a Rust application template for implementing Model Context Protocol (MCP) CLI servers, enabling seamless integration between LLM applications and external data sources and tools. The mcp-rs-template is

A Model Context Protocol (MCP) server library that gives LLMs access to information about a candidate.

UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writ

This repository provides a Tinybird MCP server, enabling interaction with Tinybird Workspaces from any MCP client. It supports querying data sources, accessing API endpoints, and pushing datafiles, using SSE and STDIO modes.

This repository provides an MCP server, `scrapling-fetch-mcp`, enabling AI assistants to access text content from websites employing bot detection. It offers tools for fetching complete pages and extracting content based on patterns.

This repository provides an MCP server implementation for retrieving data, specifically PDF documents, from AWS S3, enabling integration with LLMs like Claude by exposing S3 data through resources and tools.

This repository provides a Model Context Protocol (MCP) server for integrating the Microsoft Bing Search API, enabling AI assistants to perform web, news, and image searches. This repository provides a

This repository hosts an MCP server that bridges AI assistants with Azure DevOps, enabling natural language interaction for work item queries. Planned features include pipeline operations and pull request handling.