MCP Servers & Clients

This project provides a modular Python wrapper for the SNCF API, with an MCP server interface that integrates seamlessly with Claude Desktop for intelligent journey planning and train information retrieval across France.

MAVAE IMAGE TOOLBOX is a Model Context Protocol (MCP) server for interacting with image media tools. 🚀 Image Generation | 🚀 Image Editing | 🚀 Collection Management | 🚀 Model & Lora Management

Enterprise MCP servers

MCP server to bridge Claude with local LLMs running in LM Studio

MCP server and client for Frontapp

MCP server to manage Kubernetes clusters via kubectl

Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream) Bucket contents (up to 1000 objects per bucket) Tools ListBuckets Returns a list of all buckets owned by the authenticated sender of the request Optional parameters: start_after (pagination), max_buckets (limit results) ListObjects Returns some or all (up to 1,000) of the objects in a bucket with each request Required parameter: bucket_name Optional parameters: prefix (filter by prefix), max_keys (limit results) GetObject Retrieves an object from MinIO Required parameters: bucket_name, object_name PutObject Uploads a file to MinIO bucket using fput method Required parameters: bucket_name, object_name, file_path

MCP Server for OpenShift Must-gather

Learning how to build mcp-servers to connect in llms via langchain