API Development Servidores MCP

Jason's Servers

Sets up and configures a collection of Model Context Protocol (MCP) servers for various tasks.

Yusukebe

Runs a custom MCP server using Node.js, configured through a JSON file.

Stellastra

Facilitates multi-agent conversation protocols based on a provided OpenAPI specification.

Thunder Client License Manager

Manages Thunder Client licenses by providing tools to interact with their API.

Open States

Facilitates multi-agent conversations with the OpenStates API by exposing its functionalities as an auto-generated MCP server.

Remote Cloudflare

Establishes a Model Context Protocol (MCP) server on Cloudflare Workers with bearer token authentication.

SpaceTraders

Enables AI agents to interact with the SpaceTraders API by exposing its endpoints as Model Context Protocol (MCP) tools.

Custom Context Server

Provides an MCP server environment for real-time event streaming and callable tools, designed to facilitate structured data processing for AI models.

JSON Database

Provides a minimalist database server for JSON data with both REST and Model Context Protocol (MCP) APIs.

Faraidh

Provides an MCP server for comprehensive calculations of Islamic inheritance (Faraidh) based on a detailed flowchart and the KalkulatorFaraidh library.

ApiColombia

Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.

Todoist

Manages Todoist tasks, projects, labels, and productivity workflows through an MCP server.

Google Calendar

Enables AI agents to interact with Google Calendar, supporting event listing, retrieval, creation, and updates via the Model Context Protocol.

Jokes Server

Integrates external joke APIs with Microsoft Copilot Studio via a Model Context Protocol server.

Zerion

Integrate Zerion's cryptocurrency portfolio management, DeFi, NFT, and market data API with AI assistants via the Model Context Protocol.

ChatGPT EdgeOne Apps

Demonstrates how to build an OpenAI Apps SDK-compatible server using EdgeOne Pages and Next.js edge functions.

End-to-End Tooling System with Vertex AI Gemini

Orchestrates an end-to-end Model Context Protocol tooling system, featuring a FastMCP server and STDIO-based client with JSON-RPC, enabling multi-step tool chaining powered by Vertex AI Gemini.

RIG

Provides a secure, audited platform for AI agents to access and manage structured tools from various SDKs, exporting them as a standardized MCP server.

ALex

Empowers AI agents with searchable access to any markdown content through discoverable resources and an embedded full-text search engine.

File Metadata

Provides file content and metadata to large language models for enhanced understanding.