Wafergraph MCP

Name: Wafergraph MCP
Author: jasonpalmer1

作者：jasonpalmer1版本 1.2.0i★ –i在云端运行

注册名称com.wafergraph/wafergraph-mcp

安装

概览

作者提供的说明（英文原文）

Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://wafergraph-mcp.jwpalm99.workers.dev/mcp

在终端中运行这条命令

claude mcp add --transport http wafergraph https://wafergraph-mcp.jwpalm99.workers.dev/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "wafergraph": {
      "url": "https://wafergraph-mcp.jwpalm99.workers.dev/mcp"
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "wafergraph": {
      "type": "http",
      "url": "https://wafergraph-mcp.jwpalm99.workers.dev/mcp"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://wafergraph-mcp.jwpalm99.workers.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

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。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

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6日

✓ 通过
作者与仓库一致
注册名称已通过域名 wafergraph.com 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32466 个服务器的 0%
发布到注册中心的时间比此分类中其他 32466 个服务器的 20% 更新
基础检查结果等于或优于此分类中其他 32466 个服务器的 100%

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。

常见问题

Wafergraph MCP 安全吗？

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。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.2.0）于3个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, HotCodePush

替代选择

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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

HotCodePush

作者：hotcodepush-team

Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.

在云端运行今天更新

安装

作者的 README

打开 README

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。

wafergraph-mcp

A remote MCP server exposing wafergraph.com's semiconductor & AI supply-chain dataset — 565 companies across 12 segments, the supplier/customer graph, and a 74-deal M&A corpus — as 30 read-only tools any MCP-speaking AI agent can call directly.

No auth, no cost, read-only. Streamable HTTP transport at /mcp. Human landing page at /.

Live: https://mcp.wafergraph.com

Tools

Tool	Purpose
`search_companies({query?, segment?, country?})`	Name/description search with segment & country filters. Compact list, capped at 25, with a total match count.
`get_company({id})`	Full allowed profile for one company (by id or name) plus its supplier/customer edges.
`get_segments()`	The 12-segment taxonomy (+ subsegments, market_position enum) with live company counts.
`get_supply_chain({id, direction, depth})`	Walk the supplier/customer graph from a focal company up to 2 tiers up (`"up"`), down (`"down"`), or `"both"`.
`get_deals({query?, segment?})`	Search the M&A deal corpus. Compact list, capped at 30, with a total match count.
`compare_companies({ids})`	Side-by-side comparison of 2-6 companies on aligned fields, plus their shared and unique supply-chain counterparties.
`get_country_exposure({segment?})`	Geographic concentration: which countries host a segment's companies, ranked by count, with disclosed market-cap coverage.
`find_chokepoints({segment?, limit?})`	Rank chokepoints by downstream dependency weighted by market position. Transparent heuristic, not a proprietary risk model.
`analyze_portfolio_exposure({holdings})`	Map tickers or ids to segment/country exposure and flag suppliers that several holdings share. Not investment advice.

Screening & discovery

Tool	Purpose
`filter_companies({...})`	Structured multi-criteria screen (segment, subsegment, country, position, public, market-cap band, has_ticker) with sorting and pagination.
`list_subsegments({segment?})`	Every subsegment with its live company count and parent segment.
`get_subsegment({segment, subsegment})`	All companies in one subsegment with position and country breakdowns.
`find_similar_companies({id})`	Nearest structural neighbours by Jaccard similarity over segment tags and shared supply-chain counterparties.
`rank_by_market_cap({segment?, country?, limit?})`	Largest companies by disclosed market cap, always with its coverage ratio.
`resolve_ticker({inputs})`	Batch-resolve up to 25 tickers, names, or ids to canonical companies, with suggestions on a miss.

Geography & structure

Tool	Purpose
`list_countries({segment?})`	Every country with company counts, segment mix, and public/private split.
`get_country_profile({country})`	One country in depth, including how many supply relationships cross its border in each direction.
`compare_countries({countries})`	2-5 countries side by side, with uniquely-present and dominant segments.
`get_segment_leaders({segment?})`	Who occupies the monopoly and leader positions in a segment.
`get_upstream_concentration({id})`	One company's supplier mix by country and segment with an HHI index and edge-coverage context.

Graph analysis

Tool	Purpose
`find_paths_between({from, to, max_depth?})`	Documented supply paths between two companies, shortest first.
`simulate_disruption({company_id?	country?	segment?})`	Blast radius if a company, country, or segment goes offline, ranking those left with no documented alternative.
`find_single_source_dependencies({segment?, country?})`	Customer/subsegment pairs served by exactly one documented supplier.
`rank_by_connectivity({metric?, limit?})`	Rank by documented degree. Measures documentation density, not real-world criticality.
`find_common_suppliers({ids?	segment?})`	Suppliers shared across an arbitrary set of companies, with the share of the set each serves.

Deals & dataset

Tool	Purpose
`get_deal({id})`	One M&A deal in full, with parties resolved to companies where possible.
`find_deals_by_company({id})`	Every deal a company took part in, split by role, with the match method exposed.
`get_ma_activity_summary()`	Deal counts and disclosed values by year, type, and status.
`find_consolidation_hotspots()`	Which segments are consolidating, with unresolvable deals counted rather than dropped.
`get_dataset_stats()`	What this dataset contains, how fresh it is, and where it is thin. Call it to learn what the data cannot answer.

Every response includes:

data — the payload.
attribution — compiled-by/sources block (SEC, Wikidata, Wikipedia, GLEIF) plus a company_url back to the full sourced profile on wafergraph.com.
links — { report, newsletter } pointing back to wafergraph.com and its hand-scored Vendor Exposure Review.

Field discipline

Company records include key_products as of 2026-07-19. That field in wafergraph's own dataset was originally bulk-drafted with a known fabrication/mis-scope history and was withheld here until a verified deep-fill landed upstream; it now has (confirmed live) 564/565 companies filled, with only sk_enpulse empty (defunct, absorbed into SKC 2025-12-23). Every field shipped here — name, ticker, market_cap_usd_b, segments, one_liner, market_position, key_products, key_customers/key_suppliers graph edges, deals — is established, trust-checked data. Fields are still whitelisted (not blacklisted) in src/types.ts (toAllowedCompany), so anything added upstream later stays excluded by default until deliberately added.

What this server records

Counters only, never identities. No IPs, no query contents or tool arguments, no user identifiers, no cookies, no PII. Specifically: how many times each tool was called per day, how many distinct sessions opened per day, and which client *software* connected (the clientInfo name and version your MCP client already sends in the initialize handshake, e.g. claude-code@2.1.0).

Sessions are not users — one person reconnecting counts several times. Nothing recorded here can identify who you are.

Install

Claude Code

claude mcp add --transport http wafergraph https://mcp.wafergraph.com/mcp

claude.ai (custom connector)

Settings → Connectors → Add custom connector → paste:

https://mcp.wafergraph.com/mcp

Generic MCP client (Streamable HTTP)

"mcpServers": { "wafergraph": { "url": "https://mcp.wafergraph.com/mcp" } } }

Architecture

Cloudflare Worker, TypeScript, built on the agents package's McpAgent (Durable-Object-backed Streamable HTTP MCP server — free on the Workers Free plan; SQLite storage backend). See CLAUDE.md for the file map and the data-source-mode decision (hybrid live-fetch + one vendored snapshot, discovered by E2E-testing the upstream endpoints rather than assumed).

Development

npm install

npm run dev # wrangler dev, local npm run typecheck # tsc --noEmit npm run deploy # wrangler deploy

Attribution & licensing

See ATTRIBUTION.md for the full source/license breakdown (SEC EDGAR public domain, Wikidata CC0, Wikipedia CC BY-SA 4.0 — attribution required, GLEIF). Short version: free to use, credit wafergraph.com, not financial advice.

This is an independent project built against wafergraph.com's public dataset; it is not an official wafergraph product.