Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
DigiKey and Mouser MCP server for component research, BOM analysis, and sourcing.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
}
}
}
}在终端中运行这条命令
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运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 JPMarhefka 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:DIGIKEY_ACCESS_TOKEN, DIGIKEY_CLIENT_ID, DIGIKEY_CLIENT_SECRET, MOUSER_SEARCH_API_KEY, MOUSER_ACCOUNT_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(4.0.1)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.
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.
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.
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.
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.
meets, does_not_meet, and unknown evidence states.See the capability reference for the current scope and the safety boundary for each workflow.
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.
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.
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.
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.
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.
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.
| 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 |
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.
| 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.
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.
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.