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This project provides a tool for searching people using the Pearch.ai, implemented as a FastMCP service.

Monitors and analyzes mobile application performance data to detect severe issues such as excessive memory usage and view count growth. Provides intelligent analysis with customizable rules and integrates seamlessly with development workflows.

MCP Personal

Simple MCP client with config for servers

A simple server implementing the Model Context Protocol (MCP) that exposes personal tools like note-taking for compatible MCP clients or agents.

MCP Php Server

A PHP Server Framework for Model Context Protocol (MCP)

Enables high-precision detection, anonymization, encryption and decryption of personally identifiable information (PII) in text using GPT-4o-based detection and advanced cryptographic methods. Supports both deterministic encryption for searchable data and format-preserving encryption for structured identifiers.

High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.

MCP Playground 08ae05f3

MCP Java Client/Server using Spring AI

Provides intelligent command completion, validation, and contextual help for the Kafka Docker Playground CLI. Integrates with GitHub Copilot to offer auto-complete suggestions, detailed command assistance, and debugging support for playground operations.

A GitHub template for packaging any Model Context Protocol (MCP) server as an installable Claude Code plugin with zero dependencies. It allows developers to distribute their servers directly from GitHub and provides a structure for managing tools, resources, and npm dependencies.

A GitHub template designed to package Model Context Protocol (MCP) servers as installable plugins for Claude Code using Node.js. It enables developers to easily distribute zero-dependency servers that integrate custom tools and resources into the Claude ecosystem.

An MCP server that provides poker play recommendations by combining real-time Monte Carlo equity calculations with historical player tracking and exploit-based advice. It enables users to import PokerNow hand histories to analyze player tendencies and receive data-driven coaching for various game situations.

Manages and cleans up unused media in Postiz by identifying orphaned files not associated with draft, scheduled, or queued posts, with safe dry-run mode before deletion.

An MCP server that exposes PPSSPP — the PlayStation Portable emulator — to any MCP-compatible client (Claude Desktop, Claude Code, etc.) via PPSSPP's built-in WebSocket debugger interface. Read and write PSP memory, drive games with button input, capture screenshots, set CPU breakpoints, inspect MIPS Allegrex registers — all through a clean tool interface. No bridge plugin needed; PPSSPP's debugg

Remote MCP server running on Cloudflare Workers that creates PowerPoint presentations with customizable slides, layouts, and bullet points, along with basic calculator functions.

An MCP server that enables AI models to render GitHub's Primer React components directly within chat interfaces using a JSON component tree. It provides tools to list available components and display interactive UI elements with full GitHub theming support.

A production-ready MCP server that integrates OpenAI with FastAPI and Redis to provide streaming agentic chat capabilities and session memory. It features built-in tools for weather, calculations, and Wikipedia searches while supporting enterprise-grade features like rate limiting and structured logging.

Provides project management capabilities through terminal, web UI, or MCP stdio, including plans, code analysis, and filesystem-safe operations.

MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, etc.

Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.