MCP Servers

This repository provides a Model Context Protocol (MCP) implementation, demonstrating local and remote tool calling with examples, schema validation, and integration with AWS Bedrock, showcasing AI-assisted development. This repository provides

This repository contains an Electron-based desktop application that interacts with the Rijksmuseum MCP server, enabling AI-powered exploration of the Rijksmuseum's art collection through a chat interface. This repository contains an

This repository provides the MCP Server, enabling AI assistants to safely utilize external tools like Python and web access. It enhances data processing and error handling, empowering bots to solve problems effectively.

The Verodat MCP Server repository provides a Model Context Protocol implementation for integrating Verodat's data management with AI systems like Claude Desktop, enabling account, workspace, and dataset operations.

Modular AI-powered resume and job analysis platform using CrewAI and MCP servers. Features include resume parsing, job description analysis, ATS optimization, real-time feedback, scoring, bulk compari

This repository demonstrates Spring AI's integration with the Model Context Protocol (MCP) using Spring Boot, showcasing both server and client implementations for services like geocoding and timezone retrieval, enabling LLM interaction.

This repository provides an example of using the Model Context Protocol with a single tool, resource, and prompt, showcasing installation and usage of both the MCP server and client for interaction.

Hypergraphic-FMOps is a tool that leverages the power of advanced AI models (OpenAI's GPT-4 and Anthropic's Claude-2) to analyze software architecture descriptions. Simply provide a description of you

The @fingertip/mcp repository provides a Model Context Protocol server for the Fingertip API, enabling AI assistants to manage Fingertip sites, retrieve site information, and create new sites. The @fingertip/mcp repository

This repository provides an MCP server implementation for retrieving data from Volcengine TOS, exposing data through Resources like PDF documents. It offers tools for listing buckets/objects and retrieving objects, requiring

Get descriptions of images using OpenAI's GPT-4 Vision models, Azure OpenAI, and Anthropic Claude in an easy way.

This repository offers a WebSocket-based Model Context Protocol (MCP) server and client implementation, including a local LLM chat bot demo, designed to improve upon existing MCP transport layers for efficient communication.

This repository provides a Go SDK for the Model Context Protocol (MCP), enabling developers to build MCP clients and servers for integrating with LLM surfaces using standardized context provision.

This repository provides Organized AI, a TypeScript client specifically designed for interacting with and utilizing the Model Context Protocol, enabling seamless integration and communication with AI models. This repository provides

A Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote. This server enables AI models to read from and write to OneNote notebooks, sections, and pages.