MCP

A simple example of a client and server using the Connect API.

Usage

Run an MCP server:

CONNECT_API_KEY="<your key>" SWAGGER_FILE="swagger.yaml" make server

Then run the MCP client:

make client

Modify the chat in the main function of app.py to ask different questions.

Swagger Usage

The code below is a snippet of how to register Swagger tools with Chatlas.

import chatlas
import requests
from openapi_mcp.chatlas import SwaggerTool
from openapi_mcp.connect_api import map_operations_to_tools
from openapi_mcp.swagger import (
    expand_all_references,
    transform_swagger_to_operation_dict,
)
api_url = "127.0.0.1:8000/"

openapi_dict = requests.get(f"{api_url}/swagger.json").json()
openapi_doc = expand_all_references(openapi_dict)

operations = transform_swagger_to_operation_dict(openapi_doc)

tools = map_operations_to_tools(operations)
aws_model = os.getenv("AWS_MODEL", "us.anthropic.claude-3-5-sonnet-20241022-v2:0")

aws_region = os.getenv("AWS_REGION", "us-east-1")

chat = chatlas.ChatBedrockAnthropic(model=aws_model, aws_region=aws_region)

for operation in api_operations.values():

    SwaggerTool.register_tool(

        chat,

        SwaggerTool(

            base_url=api_url,

            operation=operation,

        ),

    )

To see this in action, run a local OpenAPI-compatible server and run the Shiny application:

```bash