MCP Servers

This repository standardizes LLM interaction with MCP servers, which expose tools, execute functions, provide static content, and offer preset prompts through a unified framework. This repository standardizes LLM interaction with

This repository implements the Model Context Protocol (MCP) as part of the Personal Intelligence Framework (PIF), creating spaces for meaningful AI-human understanding through structured tools and interaction patterns.

This repository extracts the chain of thought from Deepseek R1, enabling its use in Claude Desktop or other MCP clients. It requires a Deepseek API key and utilizes a setup

The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts fro

Unofficial Golang SDK for Anthropic Model Context Protocol

This repository provides an MCP server for image generation using the Replicate Flux model, enabling users to generate images through Claude Desktop with either NPX or local installation, requiring a

Oatpp-mcp implements Anthropic's Model Context Protocol for Oat++, enabling LLM integration with your Oat++ API through autogenerated tools. It supports STDIO and HTTP SSE transports, along with Prompts, Resources, and Tools.

This repository provides a Model Context Protocol (MCP) server that connects to Databricks, enabling LLMs to execute SQL queries, list jobs, retrieve job statuses, and access detailed job information.

This repository provides a Model Context Protocol (MCP) server that exposes OpenAPI schema information to Large Language Models, enabling them to explore and understand API specifications through specialized tools.

This repository provides a sample MCP server and client using Aspire, demonstrating MCP communication within a structured Aspire environment, including a Blazor Chat client and integration with LLMs for function calling.

This repository hosts a Model Context Protocol (MCP) server that facilitates interaction with the World Bank's open data API, enabling AI assistants to list and analyze indicators for various countries.

Knowledge graph for token-efficient code reviews — fixed search, qualified call resolution, dual-mode embedding (ONNX + multi-provider cloud)

This repository provides a Spring AI-based Model Context Protocol (MCP) client for interacting with MCP-supported servers, enabling AI chat interactions using Anthropic and OpenAI models. This repository provides a Spring

This repository implements an MCP server for ZenML, enabling access to live information about ZenML resources like pipelines, artifacts, and users, and allowing triggering new pipeline runs. This repository implements

This repository provides an open-source ecosystem for the Model Context Protocol (MCP), enabling the development, discovery, and deployment of MCP servers and clients for secure AI integrations in enterprise environments.