Distrify Network MCP server

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.

Category
访问服务器

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 automates ERP 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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