API Development Servidores MCP

PDF RAG

Enables building Retrieval Augmented Generation (RAG) capabilities for PDF documents.

Learn MCP By Building

Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.

Mcp Framework

Simplifies building Model Context Protocol (MCP) servers in TypeScript with automated tool, resource, and prompt discovery.

Turbify Store

Manages Turbify Store catalogs by providing tools to create, update, delete, and search catalog items via the Turbify Store Catalog API.

AI Customer Service

Provides a core server for AI intelligent customer service, enabling order and store location querying capabilities.

Golden Egg

Enables AI agents to query Taiwan stock holdings from multiple brokerage firms via an MCP Plugin.

Ablestack

Exposes ABLESTACK MOLD APIs as a Model Context Protocol (MCP) server.

Email Checker

Validates email addresses to ensure deliverability for cold outbound email campaigns.

Salesforce

Enables natural language interaction with Salesforce data and metadata via Claude.

Claude Proxy

Transforms requests from the Claude API to the OpenAI API for seamless integration and global access.

Awesome Claude

Curates a list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants, enhancing their capabilities.

Valetudo

Provides a Go-based MCP server to interact with Valetudo-powered robot vacuums via their HTTP API.

Jellyfin API

Generates a Multi-Agent Conversation Protocol (MCP) server specifically designed for the Jellyfin OpenAPI specification.

Server Deployment Demo

Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.

Bug Bounty

Provides an AI agent communication interface and a REST API server for automating bug bounty hunting workflows.

Auto

Generates Model Context Protocol (MCP) tools automatically for each endpoint defined in an OpenAPI specification.

Test Server

Demonstrates basic Model Context Protocol (MCP) functionality, including tool calls and resource access with robust Zod validation, for learning how to build AI model interactions.

Test

Exposes an API as tools to large language model clients using the Model Context Protocol (MCP).

Location Service Demo

Demonstrates a Model Context Protocol server for managing geographical locations.

Real-Time Bidding

Facilitates real-time bidding functionalities via an auto-generated Multi-Agent Conversation Protocol (MCP) server.