enlace_connector

Deploy Python functions as authenticated MCP connectors on an enlace platform — so Claude.ai (and any MCP host) can call them.

A Claude.ai "custom connector" is a remote MCP server. enlace_connector wraps your tool functions with py2mcp, plugs auth into the platform's enlace_auth OAuth server, and follows enlace's app conventions so deployment is one declaration.

from enlace_connector import ConnectorSpec, make_connector_app, scaffold_app

spec = ConnectorSpec(
    name="trufflepig",
    tools=["truffle.mcp:search_trufflepig", "truffle.mcp:search_wallow"],
    auth="enlace",                 # validate tokens issued by the platform's enlace_auth
    extras=["truffle"],            # what the connector's own venv must install
)

# Develop locally (stdio, no auth) — Claude Desktop / Claude Code:
make_stdio_server(spec).run()

# The hosted ASGI app (Streamable HTTP + OAuth) a server runs:
app = make_connector_app(spec, issuer="https://apps.thorwhalen.com")

# Or scaffold an enlace mode=process app dir (own venv for heavy deps):
scaffold_app(spec, "tw_platform/apps/trufflepig_mcp", port=8030)

Why a separate venv (mode="process")

A connector with heavy dependencies (ML models, large libraries) runs as an enlace mode="process" app: enlace spawns it as a supervised subprocess in its own venv and reverse-proxies the route to it — keeping those deps out of the shared platform backend. The connector validates bearer tokens itself, so enlace treats it as access="public" (no session gate).

Related MCP server: Remote MCP Server on Cloudflare

Auth is pluggable

The connector is an OAuth 2.1 resource server — it validates the bearer JWTs an authorization server issued. Who that AS is is just config:

The resource-server validation is identical regardless — picking an AS doesn't change the connector, only where the token comes from.

Status

Early. The enlace_auth OAuth-server side (auth="enlace") and the tw_platform deploy wiring are tracked as follow-on work; the connector factory + scaffolding here are stable and tested.

pip install -e ".[dev]" && pytest -q