Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Multi-Service MCP Server search GitHub for repositories about quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A modular Model Context Protocol (MCP) server built with Python that connects an MCP client to multiple external APIs through MCP tools.
Search GitHub repositories
Look up GitHub users
GitHub API authentication using environment variables
Get weather information for a location
Retrieve weather forecasts
Access weather data through MCP tools
Access NASA astronomy data
Retrieve space and planetary information
Search and retrieve NASA images and related data
Related MCP server: AI Assistant Hub MCP Server
MCP Client
│
▼
┌──────────────┐
│ MCP Server │
└──────┬───────┘
│
┌──────────┼──────────┐
▼ ▼ ▼
GitHub Weather NASA
MCP MCP MCP
│ │ │
▼ ▼ ▼
GitHub API Weather API NASA APIThis server cannot be deployed
Search GitHub, npm, PyPI, StackOverflow, ArXiv from one MCP — built for coding agents.
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
Pay-per-use tool marketplace for AI agents. Search, price-check, and call APIs via MCP.
A registry of AI agent tools — MCP servers, APIs, CLIs, SDKs — kept current by automated ingestion.
