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MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
Full-stack, asynchronous Python3 framework.
from fastapi import FastAPI, Request
from apitoolbox import crud, db_registry
from apitoolbox.middleware import SessionMiddleware
from apitoolbox.models import BASE, Session, User
DATABASE_URL = "sqlite:///sqlite.db?check_same_thread=False"
# Define our model
class MyUser(User):
pass
# Instantiate the application
app = FastAPI()
app.add_middleware(SessionMiddleware, bind=DATABASE_URL)
# Create all tables
bind = db_registry.get_or_create(DATABASE_URL)
BASE.metadata.create_all(bind=bind)
# Load some data
session = Session()
for name in ["alice", "bob", "charlie", "david"]:
user = MyUser.get_by_username(session, name)
if user is None:
user = MyUser(username=name)
session.add(user)
session.commit()
# Add an endpoint
@app.get("/users")
async def list_users(
request: Request
):
return await crud.list_instances(MyUser, request.state.session)
Assuming the above code is stored in the file main.py
, then run it via:
uvicorn main:app --reload
Call the endpoint:
curl -s localhost:8000/users | jq .
The output should contain a list of 4 users,
each with the attributes id
, username
, updated_at
and created_at
.
FAQs
Full-stack async framework for Python.
We found that apitoolbox demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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