Distrify Network MCP server
A FastMCP runtime that lets AI tools search electronic components, prices, and availability across the Distrify distributor network through one connection, federating queries across accessible distributors.
README
Distrify Network MCP server
A FastMCP runtime that lets AI tools (Claude, ChatGPT) search electronic components, prices and availability across the Distrify distributor network through one connection — discovering distributors, requesting access, and federating a single query across every distributor the user can access.
This is the protocol + routing plane. It is deliberately separate from:
- the per-distributor public REST API (the unchanged data plane it calls), and
- the existing Distrify Hub (the
automatesERP instance for usage/event telemetry) — unrelated and untouched.
Identity, the distributor directory and access grants live in a separate Frappe
"MCP management" instance (distrify_mcp_mgmt), reached over a service-token API.
Architecture
Claude / ChatGPT
│ Streamable HTTP /mcp + OAuth 2.1 (DCR via FastMCP OAuth Proxy)
▼
distrify-mcp-server (this repo — Python/FastMCP, dedicated vserver)
- tools: list_distributors, request_distributor_access, search/fetch,
search_components, get_price, get_availability, get_datasheet
- federated router (parallel fan-out, merge, partial-on-rate-limit)
│ reads directory + grants (service token) │ outbound X-DISTRIFY-* headers
▼ ▼
Frappe "MCP management" instance distributor PUBLIC API /api/v1/...
(directory, network users, grants, OAuth AS) (search_keyword, get_product_detail,
get_component_pricing — list + custom)
Layout
| Path | Purpose |
|---|---|
src/distrify_mcp/server.py |
FastMCP app + tool definitions + entrypoint |
src/distrify_mcp/router.py |
Distributor public-API client + federated fan-out |
src/distrify_mcp/mgmt_client.py |
Client for the Frappe management service API (+ dev fallback) |
src/distrify_mcp/normalize.py |
Tolerant extractors for public-API payloads |
src/distrify_mcp/config.py |
Env-sourced settings (DISTRIFY_MCP_*) |
Dockerfile, .github/workflows/build.yml |
Containerization + GHCR publish for Watchtower |
deploy/docker-compose.yml |
vserver stack (service + Watchtower auto-update) |
Local development
pip install -e ".[dev]"
cp .env.example .env # set DEV_CLIENT_ID / DEV_API_KEY from an API Key Management doc
distrify-mcp # serves Streamable HTTP at http://localhost:8000/mcp
Inspect the tools without an AI client:
npx @modelcontextprotocol/inspector
# connect to http://localhost:8000/mcp (Streamable HTTP)
Status
Read-only MVP, built in stages (see the plan). dev_mode runs against a single hardcoded
distributor until the management service API and OAuth are wired in. OAuth (FastMCP OAuth
Proxy → Frappe management IdP) and the management API are tracked as follow-up work.
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