Partuno — DigiKey & Mouser MCP Server

Name: Partuno — DigiKey & Mouser MCP Server
Author: JPMarhefka

by JPMarhefkaversion 4.0.1i★ –iRuns on your computer

Registry nameio.github.JPMarhefka/partuno

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "partuno": {
      "command": "uvx",
      "args": [
        "partuno",
        "partuno-mcp"
      ],
      "env": {
        "DIGIKEY_ACCESS_TOKEN": "your-value",
        "DIGIKEY_CLIENT_ID": "your-value",
        "DIGIKEY_CLIENT_SECRET": "your-value",
        "MOUSER_SEARCH_API_KEY": "your-value",
        "MOUSER_ACCOUNT_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add partuno --env DIGIKEY_ACCESS_TOKEN=your-value --env DIGIKEY_CLIENT_ID=your-value --env DIGIKEY_CLIENT_SECRET=your-value --env MOUSER_SEARCH_API_KEY=your-value --env MOUSER_ACCOUNT_API_KEY=your-value -- uvx partuno partuno-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "partuno": {
      "command": "uvx",
      "args": [
        "partuno",
        "partuno-mcp"
      ],
      "env": {
        "DIGIKEY_ACCESS_TOKEN": "your-value",
        "DIGIKEY_CLIENT_ID": "your-value",
        "DIGIKEY_CLIENT_SECRET": "your-value",
        "MOUSER_SEARCH_API_KEY": "your-value",
        "MOUSER_ACCOUNT_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "partuno": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "partuno",
        "partuno-mcp"
      ],
      "env": {
        "DIGIKEY_ACCESS_TOKEN": "your-value",
        "DIGIKEY_CLIENT_ID": "your-value",
        "DIGIKEY_CLIENT_SECRET": "your-value",
        "MOUSER_SEARCH_API_KEY": "your-value",
        "MOUSER_ACCOUNT_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

DIGIKEY_ACCESS_TOKEN secret env
Optional DigiKey bearer token for local mode.
DIGIKEY_CLIENT_ID secret env
DigiKey OAuth client ID for the operator's integration.
DIGIKEY_CLIENT_SECRET secret env
DigiKey OAuth client secret for the operator's integration.
MOUSER_SEARCH_API_KEY secret env
Optional Mouser Search API key for catalog workflows.
MOUSER_ACCOUNT_API_KEY secret env
Optional Mouser Account API key for order-history and Cart workflows.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account JPMarhefka, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7274 servers in this category
Published to the registry more recently than 30% of the other 7274 servers in this category
Basic checks equal to or better than 100% of the other 7274 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Partuno — DigiKey & Mouser MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (4.0.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Computer or cloud★ 64,224MITUpdated yesterday

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Codebase Memory

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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

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Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Partuno - DigiKey & Mouser 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:

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:

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

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

"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:

python3 -m pip install partuno

partuno-mcp

Develop from source

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

git clone https://github.com/JPMarhefka/partuno.git

cd partuno python3 -m venv .venv source .venv/bin/activate python -m pip install -r requirements.txt cp .env.example .env set -a source .env set +a python -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:

I’m choosing a dual op amp for a 3.3 V circuit. Find a few LM358-family

options that can operate at 3.3 V, are RoHS compliant, normally stocked, and available in a quantity of 10. Show the evidence behind each recommendation and 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.

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

Topic	Guide
Capabilities and safety boundaries	Capability reference
Native MCP connection	MCP setup
Local stdio or loopback HTTP	Local deployment
Docker deployment	Docker deployment
Operator-owned Render deployment	Render reference
Azure deployment	Azure deployment
Security and credential handling	Security guide
Offline and live validation	Testing guide and validation notes
Natural-language usage examples	Examples
DigiKey, Mouser, and BOM entry points	Search-focused guides
Contributing	CONTRIBUTING.md
Security reports	SECURITY.md
Release history	CHANGELOG.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

Mode	Best for	Credential ownership
Local stdio	Desktop MCP clients and personal development	Operator's local environment
Loopback HTTP	Clients that cannot launch stdio	Operator's local environment
Remote HTTPS	A self-hosted ChatGPT/Codex connection	Operator'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.

Partuno — DigiKey & Mouser MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Partuno - DigiKey & Mouser MCP Server

Local-first component intelligence for MCP

Start here

Use the published package (recommended)

Install with pip

Self-host a remote MCP server

Use the existing Action compatibility surface

What Partuno does

DigiKey MCP server

Mouser MCP server

Electronics BOM MCP server

AI component sourcing

DigiKey vs Mouser comparison

What Partuno does not do

See it in action

Featured example: choose a component for a 3.3 V design

Documentation

Logo assets

Deployment and credential model

Project status

License and independence