Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 5 tools, no auth.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (3)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Wafergraph MCP.
datathe payload.
attributioncompiled-by/sources block (SEC, Wikidata, Wikipedia, GLEIF) plus a
links`{ report, newsletter }` pointing back to wafergraph.com and its hand-scored
Documentation Overview
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? |
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?})` |
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 acompany_urlback 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.ai (custom connector)
Settings → Connectors → Add custom connector → paste:
Generic MCP client (Streamable HTTP)
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
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.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
Last commit
24d ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
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Frequently Asked Questions about Wafergraph MCP
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