Browse the catalog

Search Deutsche Bahn train connections using the bahn-cli tool.

Provision and manage @clawemail.com Google Workspace email.

Billion-scale distributed vector partitioner and IVF-PQ indexer (Milvus style)

A wrapper for PlayWright MCP server, to manage it easily for devcontainers

Supercharge Claude Code in Telegram with a smarter plugin for stronger chat control, better workflow, and more useful tools

Negotiate rates, scope, and terms using Chris Voss's FBI-proven frameworks adapted for freelance and consulting deals.

A powerful MCP server for making HTTP requests, GraphQL queries, and TCP/Telnet connections from AI assistants.

Zero-dependency WebDAV MCP server — single static binary, no Node.js or Python. 8 tools via stdio.

Realtime hallucination fact checker & primary citation verifier (AI Fact Checker)

Enables creating and managing HappyHorse video generation tasks (edit, image-to-video, text-to-video) via RunAPI, with optional polling for completion and pricing lookup.

One brain, many arms — spawn multiple specialized Codex agents as MCP servers

slidegen-agent MCP server by Nova (CIVAI), remote Streamable HTTP

Provides performance analysis tools for AI agents, including JavaScript benchmarking, memory analysis, complexity estimation, bundle analysis, and load testing.

This MCP server implementation provides a bridge to the Model Context Protocol SDK for Flutter applications. Developed by asmagin, it offers a TypeScript-based server that can be easily integrated into Flutter projects. The server utilizes the @modelcontextprotocol/sdk package and Zod for data validation. It's designed to facilitate communication between Flutter clients and MCP-compatible AI models, enabling developers to incorporate advanced AI capabilities into their mobile applications. The implementation focuses on type safety, modularity, and ease of use, making it suitable for both development and production environments. It's particularly useful for Flutter developers looking to leverage MCP's capabilities in their mobile apps, supporting use cases like natural language processing, image recognition, or other AI-driven features.

Azure Agentic workshops

Factory-to-retailer B2B apparel supply chain for tier-2/3 shops (Showroom B2B style)

Enables interaction with Google Calendar services through the Model Context Protocol using a Service Account. It allows MCP-compatible clients to manage calendar events and integrate calendar data via the Google Calendar API.

Path-scoped team memories, rules and skills for AI coding agents.

Lean 4 MCP server: compile, prove theorems, and formalize math with Mathlib.

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.