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Exploración de MCP-Server
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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:
# Run the OpenAPI-compatible server
make ex-starwars
# Run Shiny
make shiny
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Espejo dehttps: //github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_fvXyibfD
I recently used mcp-server-exploration by mconflitti-pbc and it exceeded my expectations. The user-friendly interface and detailed documentation made setup a breeze. Its robust features allowed seamless server exploration and management, making it an essential tool for developers. Highly recommend checking it out: https://github.com/mconflitti-pbc/mcp-server-exploration. Great job by the creator!