API Development MCP Servers

IBM Cloud

Enables Large Language Models to leverage IBM Cloud as a tool.

Spotify

Enables AI assistants to control Spotify playback and access user playlists through the Model Context Protocol (MCP).

Server Practice 2

Implements Model Context Protocol (MCP) servers for LinkedIn profile scraping and weather data retrieval.

Move Agent Kit

Simplifies the integration of AI agents with Move-based blockchains for interacting with DeFi protocols.

My Mcp

Facilitates the setup and execution of MCP servers with custom tools.

Bootstrap

Provides a Python-based template for building modular command center servers using the Mondel Context Protocol.

AlphaVantage

Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.

Dataverse

Enables programmatic management of Microsoft Dataverse schemas, including tables, columns, relationships, and option sets.

JFK

Queries JFK documents using the Archives API.

Swagger

Dynamically generates Model Context Protocol tools from Swagger/OpenAPI documents, enabling direct REST API invocation from Claude Desktop.

Yusukebe

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

Exa

Enables AI assistants like Claude to perform web searches using the Exa AI Search API.

Cline Example

Provides an example server configuration for use with the Cline VS Code extension.

DataPulse

Streams asynchronous responses per client session via Server-Sent Events from a lightweight FastAPI-based server.

Liuren

Calculates and serves traditional Chinese Liuren astrological charts and current time information through a standard Model Context Protocol (MCP) server.

Mcpgo

Implements a server-side Model Context Protocol (MCP) in Go using Server-Sent Events (SSE) transport.

Kinetica

Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring via a Model Context Protocol server.

YouTube Analytics

Enables AI clients to access and query live YouTube Analytics data through a Model Context Protocol (MCP) server.

MoAI

Facilitates AI-powered conversations through a secure, full-stack chat application with real-time messaging and persistent chat threads.

HTTP

Exposes Python functions as discoverable and executable remote tools via HTTP, following the Model Context Protocol.