Partuno — DigiKey & Mouser MCP Server

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

de JPMarhefkaversión 4.0.1i★ –iSe ejecuta en tu computadora

Nombre en el registroio.github.JPMarhefka/partuno

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
Nuestras revisiones básicasi1 de 1 superadasRevisado con información pública; el código aún no se ha escaneado
UsoiAún sin medir★ –

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

Conexión: Se ejecuta en tu computadora
Transporte: stdio
Categoría: Búsqueda y memoria de IA
Debes completar: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Revisiones básicas: 1 de 1 superadas
Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
Debes completar tú: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

ClaudeClaude CodeCursorVS CodeChatGPT

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
      }
    }
  }
}

Ejecuta esto en tu 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

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "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"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

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

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub JPMarhefka, dueña del repo
… Aún sin revisar
Sigue en mantenimiento
Todavía no hemos leído este repo en GitHub
… Aún sin revisar
Tiene licencia
Todavía no hemos leído este repo en GitHub
– No aplica
El endpoint responde
Este se ejecuta en tu computadora; no hay endpoint en internet
– No aplica
Inicio de sesión con OAuth
Se ejecuta en tu computadora y usa ajustes locales en su lugar
… Aún sin revisar
Sin instrucciones ocultas en las descripciones de herramientas
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

Más estrellas que el 0% de los otros 7258 servidores de esta categoría
Publicado en el registro más recientemente que el 30% de los otros 7258 servidores de esta categoría
Revisiones básicas iguales o mejores que el 100% de los otros 7258 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Partuno — DigiKey & Mouser MCP Server?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (4.0.1) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hoy

Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días

Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado el mes pasado

Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Resumen

Los tres pilares de PopNx MCP

Qué puedes hacer con él

Instalación

Antes de instalar

Valores que debes completar

Qué puede hacer

Revisiones básicasi

El creador coincide con el repo

Sigue en mantenimiento

Tiene licencia

El endpoint responde

Inicio de sesión con OAuth

Sin instrucciones ocultas en las descripciones de herramientas

Comparado con otros en Búsqueda y memoria de IAi

Preguntas frecuentes

Alternativas

Context7

Codebase Memory

Exa

README del creador

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