MCP Servers

💎 A Ruby implementation of the Model Context Protocol

This repository provides a Model Context Protocol (MCP) server that enables LLMs to visualize data using Vega-Lite. It offers tools to save data and generate visualizations, returning either Vega-Lite specifications

This repository provides an MCP server that allows AI assistants to access web data through Oxylabs' web scraping technology, enabling them to scrape, render, and extract content while bypassing anti-scraping measures.

This repository provides a Model Context Protocol (MCP) server implementation for Replicate, enabling users to run Replicate models through a tool-based interface. It supports model search, prediction management, and image handling.

A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.

The dicom-mcp repository provides a Model Context Protocol server for DICOM, enabling LLMs to query and interact with medical imaging metadata from DICOM servers. It supports patient data retrieval and

Molecule-MCP connects molecule science tools to Claude AI via the Model Context Protocol, enabling Claude to interact with and control these tools, acting as a co-scientist for prompt-assisted molecule modeling.

MCP Web UI is a web interface for interacting with LLMs, offering a unified platform for multiple providers, real-time chat, flexible configuration, and advanced context handling. MCP Web UI is

This repository hosts a TypeScript-based MCP server that connects to multiple LlamaCloud managed indexes, creating individual tools for each index based on command-line arguments. Each tool allows querying its specific index.

A server that implements the Anthropic Model Control Protocol (MCP) server for accessing Frappe.

This repository hosts an MCP server that integrates MCP clients with Stability AI's Stable Diffusion for image generation, editing, and upscaling, requiring a Stability AI API key. This repository hosts

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

This repository provides a curated list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants, enabling secure interactions with local and remote resources. It includes file

A Model Context Protocol (MCP) server library that gives LLMs access to information about a candidate.

This repository provides an MCP server implementation for retrieving data, specifically PDF documents, from AWS S3, enabling integration with LLMs like Claude by exposing S3 data through resources and tools.