A Python MCP playground with multiple backends and an inspector workflow for rapid prototyping and learning.

AI-powered testing for Flask apps with Playwright integration and automated test generation from page analysis.

Low-latency, voice-driven AI for macOS that streams audio to OpenAI, with a local bridge and keyboard-approved tool calls for hands-free automation.

Bridge between AI models and PromptHub with blockchain-backed prompts, DAGs, and flexible access control.

Unified plug-and-play data and tool integration via a standard interface with local stdio and remote HTTP/SSE transports.

Java-based module offering context-aware pet controls with safe, modular integration.

Lightweight Python MCP server with pluggable context management for AI models.

An MCP server for your second brain.

Lightweight protocol for streaming VCD waveform changes into the model context with selective signal analysis.

Local SQLite-backed personal data hub with Claude Desktop integration, rich import workflows, and taggable auth, notes, conversations, and tasks.

mcp todo checklist

Random Number and more generator (Includes UUID, numbers, password, dice, cards and more)

x-act a lib to compose ai assistant

mcp jira

A MCP server that can create queries and fetch information from APi documentation.

Cleric - Configure Claude settings for MCP servers through a simple GUI

BacklogのMCP統合を提供します。これにより、BacklogをMCP対応のクライアント(Claude Desktop, Cline等）から操作できるようになります。

MCP server readability python

Lightweight LibreChat integration featuring a numeric calculator and Brave Search connector, Docker-ready for rapid experimentation.

Slack-based AI assistant leveraging Model Context Protocol for dynamic tool usage, channel summaries, and context-aware conversations.

TypeScript MCP server to test Azure Function Apps via Cline with multi-method HTTP testing, rich responses, and flexible auth options.

Lightweight Node.js starter for a modular protocol adapter with simple config-driven setup and runnable example.

Claude-focused MCP server enabling seamless context protocol integration for Claude models with a lightweight Python implementation.

Visualizes project structure in markdown with automatic file documentation and flexible exclusions, leveraging modern TypeScript and Node.js features for precise project insight.