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., "@MCP Tool Server What's the weather in Paris?"
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.
Reference implementation of a Model Context Protocol (MCP) server for integrating external APIs as agent tools.
Built from MCP patterns used in production agentic platforms integrating weather, database, and enterprise system tools.
MCP-compliant server with tool registration, discovery, and execution
Built-in tools: weather lookup, database query, web search, calculator
Tool schema validation with Pydantic models
Authentication: API key and OAuth2 support
Rate limiting per tool and per client
Execution logging for observability
Related MCP server: MCP Python Server — API Wrapper
pip install -r requirements.txt
python src/server.py # Starts MCP server on port 8000from src.server import MCPServer, Tool
@Tool(name="lookup_inventory", description="Check inventory levels")
def lookup_inventory(product_id: str) -> dict:
return {"product_id": product_id, "quantity": 142, "warehouse": "Seattle-WH1"}
server = MCPServer()
server.register(lookup_inventory)
server.run()Python, FastAPI, Pydantic, httpx
This server cannot be deployed
Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
