API Development MCP Servers

Create

Scaffold new Model Context Protocol (MCP) servers with a structured development protocol.

Gemini Thinking

Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.

Database Server

Enables LLMs to interact with SQL databases such as SQLite, SQL Server, and PostgreSQL, along with MongoDB.

Fewsats

Enables AI agents to securely purchase goods and services using Fewsats.

McPAgentAI

Simplifies interaction with Model Context Protocol (MCP) servers by providing an easy-to-use Python interface for connecting, reading resources, and calling tools.

Limitless

Connects Limitless Pendant data to AI tools via the Model Context Protocol, enabling AI apps to interact with your Lifelog.

HuLa

Provides a Model Context Protocol (MCP) server implementation for the HuLa instant messaging application, enabling contextual awareness and functional support.

Hs-mcp

Provides a Haskell implementation of the Model Context Protocol for building MCP-compatible servers and clients.

Image Generation Service

Generates images using the Together AI API, designed for integration with Cursor.

Gravitino

Provides Gravitino APIs through a FastMCP integration.

Terragrunt Docs

Exposes Terragrunt documentation and GitHub issue information to AI agents and other Model Context Protocol (MCP) clients.

Task Manager

Automates task planning, breakdown, and code review using LLMs within AI code editors like Cursor, offering unlimited context and customizability.

DoorDash

Generates a configuration file to integrate DoorDash with MCP clients.

A2A

Connects Claude Desktop to Agent-to-Agent protocol agents through a lightweight Python bridge.

Powertools Search

Enables Large Language Models (LLMs) to search through AWS Lambda Powertools documentation across multiple runtimes.

Php

Provides a PHP framework for building Model Control Protocol (MCP) servers using annotations.

Amazon Ads

Integrate with Amazon Advertising data to access advertising resources and reports.

iMessage

Enables read-only access to iMessage data and macOS contacts via a Model Context Protocol (MCP) server for integration with other applications like Large Language Models.

Lenses

Connect Lenses, a DataOps platform for Apache Kafka, to various client applications via the Model Context Protocol.

Gateway

Aggregates multiple Model Context Protocol (MCP) servers into a single endpoint, providing unified tool search, description, and invocation.