API Development MCP Servers

Poem

Exposes counter management, arithmetic operations, and IP address validation tools via a Server-Sent Events (SSE) endpoint.

Voxta Bridge

Enables Voxta to communicate with Model Context Protocol (MCP) servers, extending its capabilities through external tools.

Fetch

Fetches URLs and YouTube video transcripts through a dedicated server.

RDW

Queries Dutch RDW (Rijksdienst voor het Wegverkeer) vehicle registration data via a Model Context Protocol server.

Maccy

Enables programmatic access to your Maccy clipboard history on macOS via a Go-based MCP server.

Spring AI Resos

Enables conversational restaurant booking through a Spring AI-enhanced chatbot, leveraging an API-first approach.

Jampp

Provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data.

Demo Dn

Provides a basic template for building a Model Context Protocol (MCP) server that integrates with external APIs.

Fullstack Application

Integrates Model Context Protocol capabilities within a fullstack application, showcasing real-time task management using Convex and Remix.

Feishu

Integrates Feishu OpenAPI with Windsurf IDE for seamless API management and development.

Demo Local LLM

Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.

Jolokia

Enables Large Language Models to manage Java applications using the JMX API via Jolokia.

Geo

Retrieves user geolocation information for integration with large language models via the Model Context Protocol.

Panasonic MirAIe AC

Enables control of Panasonic MirAIe air conditioning devices through a Model Context Protocol (MCP) server, integrating with conversational AI.

Weather

Provides weather data via a FastMCP server deployable on Google Cloud Run.

Agent Jobs

Enables AI agents to query and manage jobs within the AI Connect platform.

Qdrant

Enables semantic code search by leveraging Qdrant vector database and OpenAI embeddings.

Glean

Integrates with Glean's Chat API using the Model Context Protocol to enhance conversational AI capabilities.

Server Learning

Provides a learning environment for understanding and implementing Model Context Protocol (MCP) servers.

Converse

Provides a simplified, functional Node.js implementation of an MCP server with advanced chat and consensus capabilities.