MCP Servers

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-compatible server for accessing the Holaspirit API, enabling AI assistants to interact with Holaspirit data through a standardized interface. It offers tools for managing tasks, metrics,

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This repository provides an MCP server that generates TypeScript API clients from OpenAPI/Swagger specifications, enabling developers to easily interact with APIs using an axios-based client. This repository provides an MCP

This repository provides a tool for analyzing GitHub repositories using the Model Context Protocol and AI-powered insights from Ollama. It offers features like repository information analysis, commit history analysis, and

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

MyMCP Prompt is a tool for generating Model Context Protocol (MCP) servers from natural language descriptions. This MVP uses the Google Gemini API to convert user descriptions into functional Python M

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

This repository provides a TypeScript MCP client for Claude AI models, enabling interaction with tools and external data through a standardized interface, requiring an Anthropic API key. This repository provides

enable mcp server to use swagger description to call api

This repository hosts a Model Context Protocol (MCP) server that fetches and provides 5-day weather forecasts for locations in Canada using the Government of Canada Weather API, integrating with Claude

This repository offers a basic MCP (Multi-Client Protocol) implementation showcasing client-server communication. It includes a test script demonstrating functionalities like `call_tool()` and `read_resource()`, licensed under the MIT License.

Mokei is a TypeScript toolkit designed for building, managing, and observing clients and servers that utilize the Model Context Protocol (MCP) for seamless communication and interaction. Mokei is a TypeScript

Python package (pip) - Get descriptions of images using OpenAI's GPT models, Azure OpenAI, and Anthropic Claude in an easy way.

Model Context Protocol (MCP) for Intelligent Data Analytics Description: In this project, I developed a smart backend architecture called MCP (Model Context Protocol) — a system designed to act as a