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A Model Context Protocol (MCP) server that provides personalized Bible guidance and mentorship through AI integration with OpenAI's ChatGPT.

A Model Context Protocol (MCP) server that provides Android Layout Inspector functionality through ADB commands. This server allows LLMs and other MCP clients to inspect Android UI hierarchies, find elements, take screenshots, and analyze app layouts.

Driver for MCP9600/MCP9601, thermocouple EMF to temperature converter.

Fetch the Voluntary Price for the Small Consumer (PVPC) published daily by Red Elctrica at 8:15 p.m. This includes the hourly electricity tariffs that will apply the following day for consumers billed under the 2.0 TD tariff.

This project demonstrates a secure client-server setup using the FastMCP framework, with authentication handled by Microsoft Azure Entra ID. It includes:

By DJJ & Danniel

A comprehensive suite of MCP (Model Context Protocol) servers for AI-powered content creation, social media intelligence, and automation workflows. This system includes specialized servers for live search, social media analysis, media processing, and platform integrations.

A Python MCP (Model Context Protocol) server that allows AI tools (like Goose or Void) to collaborate with macOS Terminal sessions. The server provides tools to list, monitor, and control Terminal windows and tabs through AppleScript integration.

To start the MCP server:

MCP Travel Agent project repository

Extremely early development

A comprehensive Model Context Protocol (MCP) server that provides automated pull request reviews using multiple LLM providers (OpenAI, Claude, Gemini, Groq, Perplexity) with both GitHub and Bitbucket integration, featuring real-time webhook processing and interactive AI assistant commands.

Neodyme is a fully-featured Node.js backend for Fortnite (s1-32), designed to provide a completely independent alternative to the official Epic Games servers. It supports most core systems of the game, from account management to matchmaking, social features, and even Discord integrations.

A Model Context Protocol (MCP) server that integrates Strava data for marathon coaching and training analysis. This server enables Claude Desktop to access your Strava activities and provide personalized running insights.

A Model Context Protocol server for AST-aware code editing

True one-command MCP server for Claude-Code with automatic persistent domains and OAuth authentication.

A Model Context Protocol (MCP) server implementation for DevOps Test, enabling test execution and management through standardized MCP clients.

A Model Context Protocol (MCP) server that provides tools for connecting LLMs to Itential Platform. Enable AI assistants to manage network automations, orchestrate workflows, and monitor platform health.

The AI agent and MCP server based on hashi-stack/consul-ai-agent-sdk. The example creates 3 agents and 1 MCP server.

A Model Context Protocol (MCP) server for Apache Cybershuttle. This server enables AI agents to interact with the Cybershuttle research catalog, allowing natural language queries and operations on datasets, notebooks, models, repositories, projects, and sessions.

/Users/clojure/Library/Application\ Support/Claude/claude_desktop_config.json

AgentCore LangGraph, Strands MCP Agent Production .

Let's get a remote MCP server up-and-running on Cloudflare Workers complete with OAuth login!

Zendesk API MCPModel Context Protocol

ZigJR is a lightweight Zig library providing a full implementation of the JSON-RPC 2.0 protocol, with message streaming on top, and a smart function dispatcher that turns native Zig functions into RPC handlers. It aims to make building JSON-RPC applications in Zig simple and straightforward.

Multi-Cloud Platform Manager - A robust system for managing MCP integrations with providers like Composio.

A Model Context Protocol (MCP) server finds and reads Markdown files in configured directories. This server guarantees READ-ONLY access to ONLY MARKDOWN documents, i.e. files ending with .md extension.

A Large Language Model (LLM) is an advanced artificial intelligence system designed to understand, generate, and interact with human language. LLMs are trained on vast amounts of text data and use deep learning techniques, particularly transformer architectures, to learn the statistical patterns and structures of language. This enables them to perform a wide range of tasks, such as answering questions, summarizing text, translating languages, generating creative content, and more. LLMs, like OpenAI's GPT series, have revolutionized natural language processing and are widely used in applications ranging from chatbots to content creation tools.

A high-performance MCP (Model Context Protocol) proxy tool written in Rust that enables connections to both HTTP-based and STDIO-based MCP servers. This tool acts as a bridge, converting between different MCP transport protocols and making MCP servers accessible through a unified interface.

Random tools and scripts for Cloud operations on MCP (Salt-based) and MCC/MOSK (K8s-based) Other general Linux stuff can also end-up here

FastAPI MCP AI

MCP Agent

A powerful backend built with LangChain + LangGraph, supporting multiple tools and MCP integrations.

Control your Dynatrace UFO device through MCP-compatible clients like Claude Desktop.

This project provides an MCP (Model Context Protocol) server for the backlog.md CLI tool. It allows language models to interact with backlog.md to manage tasks, boards, and other project artifacts.

A CLI tool that generates a Model Context Protocol (MCP) server from a Swagger/OpenAPI document.

The MCP Agent (mcp_agent.py) is a Python-based application designed to interact with any Anthropic MCP server using JSON-RPC 2.0, enabling dynamic discovery and invocation of tools, resources, and prompts. Its initial implementation is tested against an OSDU-specific MCP server, providing access to OSDU data via tools (add_numbers, get_casings_for_well, list_all_wells) and resources (osdu:wells, osdu:trajectories, osdu:casings). It uses Langchain for agent orchestration, Grok 3 for semantic query matching, and requests for JSON-RPC communication. The agent is a generic implementation for interacting with any Anthropic MCP server via JSON-RPC 2.0, with its initial implementation tested against an OSDU-specific MCP server. It supports natural language queries (e.g., "Can you list Tools?", "list wells") for MCP tools and resources, with basic context awareness (storing conversation history). Advanced context-aware follow-ups (e.g., "How many are over 500 feet?" after "list wells") and multi-step query handling are upcoming. It operates with minimal dependencies.

Filename: README.md