Partuno — DigiKey & Mouser MCP Server

io.github.JPMarhefka由 GitHub 帳號 JPMarhefka 發布v4.0.1更新於 Oct 24, 2026

DigiKey and Mouser MCP server for component research, BOM analysis, and sourcing.

已驗證STDIO僅桌面資料與分析商業與電商

概覽

AI 產生的概覽

本機 MCP 伺服器,讓助理搜尋 DigiKey 與 Mouser 電子元件、比較報價、分析 BOM,並執行受限的帳戶流程。

可以做什麼
  • 在 DigiKey 與 Mouser 搜尋與檢視電子元件,並正規化料號、單位與合規數值
  • 依指定數量比較精確報價,包含階梯價、最小訂購量、可購數量、庫存,以及單一供應商失敗時的部分結果
  • 依硬性需求推薦元件,並保留 meets、does_not_meet 與 unknown 三種證據狀態
  • 分析 BOM 的庫存、生命週期、合規、價格、關稅、交期與替代料
  • 執行受限的帳戶與專案流程,例如唯讀訂單歷史、清單與報價預覽、收貨核對,以及供應商支援時經確認的變更操作
適用情境
適合需要助理協助電子元件選型與採購的情境:為設計挑選元件、查詢兩家經銷商的即時價格與庫存、審閱 BOM,或比較 DigiKey 與 Mouser 的報價。適合已自備經銷商 API 憑證的工程師與採購人員。
執行需求
以 stdio 在本機執行,通常透過 uvx 啟動 partuno PyPI 套件(或 pip install partuno)。需在 MCP 用戶端環境中設定自己的 DigiKey 憑證(DIGIKEY_CLIENT_ID、DIGIKEY_CLIENT_SECRET,選用 DIGIKEY_ACCESS_TOKEN)與 Mouser 金鑰(MOUSER_SEARCH_API_KEY,選用 MOUSER_ACCOUNT_API_KEY)。需要連線至經銷商的網路;專案不提供共用伺服器或共用憑證。
安裝前請注意
必須自備 DigiKey 與 Mouser 的 API 憑證,專案不提供任何憑證,也沒有共用憑證池。部分帳戶流程在供應商支援時可執行寫入操作,允許前請先確認。它不會送出經銷商訂單,但價格、庫存與交期為即時資料,可能變動。即時呼叫會消耗供應商配額並受其條款限制。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Partuno — DigiKey & Mouser MCP Server,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Partuno - DigiKey & Mouser MCP Server

[Partuno logo]

[CI] [License] [Python] [partuno MCP server]

Local-first component intelligence for MCP

Partuno is an open-source, provider-neutral, local-first Model Context Protocol (MCP) server for electronic component research, BOM analysis, sourcing comparison, and safe distributor workflows. Connect an AI assistant to your own DigiKey and Mouser credentials without shared credentials or autonomous ordering, while keeping evidence, normalized attributes, and explicit uncertainty visible.

Partuno was initially developed as a native MCP server. Native MCP is the recommended connection because it works as an app in ordinary ChatGPT conversations and exposes richer tool annotations. Existing Custom GPT Action endpoints remain available for backward compatibility, including /action-openapi.json.

Partuno does not provide a shared public server or shared distributor credentials. The Render configuration is an optional reference deployment for an operator's own single-user instance.

Start here

Use the published package (recommended)

Partuno is published on PyPI and listed in the official MCP Registry. The recommended local MCP launcher is:

bash
uvx --from partuno partuno-mcp

This downloads the current published release and runs the default local stdio transport. To pin the current release exactly, use:

bash
uvx --from 'partuno==4.0.1' partuno-mcp

MCP clients that accept a local command can use uvx with these arguments:

json
{  "command": "uvx",  "args": ["--from", "partuno", "partuno-mcp"]}

Keep your operator-owned DigiKey and Mouser credentials in the MCP client's environment. See the local deployment guide for the supported variables and the native MCP setup guide for operator-owned remote deployments. For a hosted directory listing, see Partuno on Glama.

Install with pip

If uvx is not available, install the published package into an existing Python environment:

bash
python3 -m pip install partunopartuno-mcp
Develop from source

Use a checkout only when contributing, running unreleased changes, or needing the repository's .env.example and test suite:

bash
git clone https://github.com/JPMarhefka/partuno.gitcd partunopython3 -m venv .venvsource .venv/bin/activatepython -m pip install -r requirements.txtcp .env.example .envset -asource .envset +apython -m partuno

See the local deployment guide for loopback HTTP and source-checkout details.

Self-host a remote MCP server

If your client requires a reachable HTTPS endpoint, deploy your own instance with your own provider accounts, OAuth application, signing key, rate limits, and hosting budget. Start with the Render reference deployment, or use the Docker and Azure guides. There is no shared Partuno endpoint intended for public use.

Use the existing Action compatibility surface

Custom GPT Actions are retained for existing integrations. The Action/OpenAPI surface is not the primary architecture; use native MCP for new connections. The Action setup details are documented in MCP setup.

What Partuno does

  • Searches and inspects electronic components across DigiKey and Mouser.
  • Normalizes manufacturer part numbers, units, compliance values, and common distributor-specific attribute names.
  • Compares exact component offers at a requested quantity, including price breaks, minimum order quantities, order multiples, availability, and partial provider failures.
  • Recommends components against hard requirements while preserving meets, does_not_meet, and unknown evidence states.
  • Analyzes BOMs for stock, lifecycle, compliance, pricing, tariffs, lead time, and substitute candidates.
  • Supports bounded account and project workflows such as read-only order history, list and quote previews, receiving reconciliation, and carefully confirmed mutations where the provider supports them.

See the capability reference for the current scope and the safety boundary for each workflow.

DigiKey MCP server

Partuno can run as a local-first DigiKey MCP server for component search, product research, current pricing and availability, lifecycle checks, MyLists, quotes, receiving reconciliation, and other bounded account workflows. The DigiKey MCP server guide covers setup, supported workflows, and the provider-specific safety boundaries.

Mouser MCP server

Partuno also provides a Mouser MCP server surface for catalog search, exact offer comparison, read-only order history, and preview-confirmed Cart workflows. The Mouser MCP server guide explains the separate operator-owned Mouser credentials and what the server does and does not execute.

Electronics BOM MCP server

Use Partuno as an electronics BOM MCP server to consolidate duplicate rows, resolve exact products, estimate current merchandise cost, check stock and lifecycle risk, inspect compliance and lead-time signals, and find substitutes or alternate packaging. See the electronics BOM MCP server guide for a complete read-only example and known limitations.

AI component sourcing

Partuno turns a natural-language engineering request into a traceable sourcing workflow. Recommendations preserve meets, does_not_meet, and unknown evidence states, so missing or ambiguous attributes are not silently treated as qualified requirements. The natural-language examples show the intended interaction style.

DigiKey vs Mouser comparison

For an exact comparison, Partuno matches manufacturer and MPN identity first, then compares requested-quantity pricing, minimum order quantity, order multiples, purchasable quantity, availability, and manufacturer lead time. If a provider fails or returns incomplete evidence, the result remains partial instead of inventing a winner. See the DigiKey vs Mouser comparison guide.

What Partuno does not do

  • It does not supply DigiKey or Mouser credentials.
  • It does not create a shared multi-tenant credential pool.
  • It does not silently turn unknown product data into a pass.
  • It does not submit distributor orders.
  • It does not bypass provider quotas, terms, authentication, or rate limits.

See it in action

Featured example: choose a component for a 3.3 V design

Once Partuno is connected, a user can simply ask:

text
I’m choosing a dual op amp for a 3.3 V circuit. Find a few LM358-familyoptions that can operate at 3.3 V, are RoHS compliant, normally stocked, andavailable in a quantity of 10. Show the evidence behind each recommendationand keep uncertain data clearly marked.

Partuno turns that plain-language request into a provider-aware result with qualified, unverified, and rejected candidates; normalized voltage and compliance evidence; cross-distributor availability; quantity pricing; and a Pareto shortlist. It does not silently treat missing specifications as a pass.

[Partuno turning a plain-language component request into an evidence-backed recommendation]

This is a roughly 10-second prompt-to-result capture that shows the request and a smooth response scroll. Prices, stock, and lead times are live provider data and can change.

See more natural-language examples for comparison, product research, BOM review, and safe account-preview workflows.

Documentation

TopicGuide
Capabilities and safety boundariesCapability reference
Native MCP connectionMCP setup
Local stdio or loopback HTTPLocal deployment
Docker deploymentDocker deployment
Operator-owned Render deploymentRender reference
Azure deploymentAzure deployment
Security and credential handlingSecurity guide
Offline and live validationTesting guide and validation notes
Natural-language usage examplesExamples
DigiKey, Mouser, and BOM entry pointsSearch-focused guides
ContributingCONTRIBUTING.md
Security reportsSECURITY.md
Release historyCHANGELOG.md

Logo assets

The full-resolution Partuno logo is available for project pages, client listings, and integration documentation. A compact plugin icon is also included for client or plugin upload fields with strict PNG size limits.

The compact icon is intentionally optimized for small upload limits. If a host accepts larger assets, use the full-resolution logo instead. The compact icon can also be downloaded directly from the repository's raw asset URL.

When using the logo in a ChatGPT app, MCP client, or other plugin integration, identify the integration as Partuno and do not imply endorsement by DigiKey, Mouser, or another provider. Check the host platform's current dimensions, format, and file-size requirements before uploading.

Deployment and credential model

ModeBest forCredential ownership
Local stdioDesktop MCP clients and personal developmentOperator's local environment
Loopback HTTPClients that cannot launch stdioOperator's local environment
Remote HTTPSA self-hosted ChatGPT/Codex connectionOperator's own deployment and accounts

Remote mode adds OAuth and HTTPS because a hosted MCP endpoint must authenticate the client and protect upstream access. It is optional; local mode remains the default and does not require Partuno OAuth.

Project status

Partuno 4.0.1 is an active open-source release. The test suite covers offline provider contracts, MCP tool behavior, REST compatibility, credential safety, normalization, and the multi-distributor workflows. Live provider calls are opt-in because they require operator credentials and are subject to provider quotas.

See testing before running live smoke tests.

License and independence

Partuno is released under the Apache License 2.0. See NOTICE for project attribution and independence statements. Partuno is not affiliated with, endorsed by, or sponsored by DigiKey, Mouser, or any manufacturer or distributor named in the project. Their names and marks identify integrations only.

來源:README.md,提交 369d39f

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版本歷史

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  1. v4.0.1最新Sep 16, 2026

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