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30-day availability1/1 checks ok
30 days agotoday
Endpoints
https://wafergraph-mcp.jwpalm99.workers.dev/mcpmcp streamable http · checked on a schedule
Registry facts
Not distributed through a package registry we index.
when
check
result
http
latency
detail
3 h ago
mcp initialize
ok
200
577 ms
server wafergraph-mcp 1.2.0 · protocol 2025-06-18 · 30 tools
Tools observed via MCP handshake
search_companies — Search wafergraph's semiconductor & AI supply-chain company dataset (615 companies across 12 segments) by name/one_liner substring and/or segment and/or country
get_company — Full allowed profile for one company (by id or exact name) plus its supplier/customer supply-chain edges. Includes key_products (short list of named products/li
get_segments — The wafergraph taxonomy: 12 top-level supply-chain segments (materials through ai_datacenter) and their subsegments, each with a live company count, plus the ma
get_supply_chain — Walk the supplier/customer graph from one focal company, up to 2 tiers up (suppliers), down (customers), or both. Mirrors the chain view on wafergraph.com's Exp
get_deals — Search wafergraph's semiconductor & AI supply-chain M&A corpus (74 acquisitions/mergers, including notable terminated attempts) by title/summary substring and/o
compare_companies — Side-by-side comparison of 2-6 companies on the same fields, plus their shared and unique supply-chain counterparties. Cheaper and more aligned than several get
get_country_exposure — Geographic concentration of the supply chain: which countries host the companies in a given segment (or across all 12 segments), ranked by company count. Answer
find_chokepoints — Rank supply-chain chokepoints: companies many others depend on, weighted by how concentrated their market position is. A chokepoint here means high downstream d
analyze_portfolio_exposure — Given a list of tickers or company ids, report that basket's aggregate exposure across supply-chain segments and countries, and flag where holdings share the sa
filter_companies — Structured multi-criteria screen over all 615 companies: exact segment/subsegment/country/market_position/public filters plus a market-cap range, sortable and p
list_subsegments — Every subsegment across wafergraph's 12-segment taxonomy, each with its live company count and parent segment id/name, optionally filtered to one segment. Use t
get_subsegment
Declared by sources
What the publisher says
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
kind ← Official MCP Registry
name ← Official MCP Registry
repoUrl ← Official MCP Registry
summary ← Official MCP Registry
version ← Official MCP Registry
description ← Official MCP Registry
publisherName ← Official MCP Registry
Derived by Wellknown
Capabilities
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
5 h ago · declared · summary → "Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth."
5 h ago · declared · description → "Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth."
5 h ago · declared · publisherName → "com.wafergraph"
5 h ago · declared · repoUrl → "https://github.com/jasonpalmer1/wafergraph-mcp"
5 h ago · declared · version → "1.2.0"
5 h ago · declared · protocols → ["mcp"]
— All companies in one segment+subsegment pair, as compact refs sorted by market cap descending, plus a market_position breakdown and a country breakdown computed
find_similar_companies — Nearest structural neighbours to one focal company, ranked by a transparent Jaccard-similarity score — not a market or competitive judgment. Use search_companie
rank_by_market_cap — Top N companies by market cap, optionally restricted to a segment/country/market_position, with the priced-coverage ratio for that scope attached — about 28% of
resolve_ticker — Batch-resolve up to 25 strings — tickers, company names, or ids, in any mix — to canonical company refs. Call this FIRST whenever you have raw user input (a tic
list_countries — Every country in wafergraph's semiconductor & AI supply-chain dataset (29 countries across 615 companies) with company count, which segments are present there (
get_country_profile — Deep profile of one country's presence in wafergraph's semiconductor & AI supply-chain dataset: company count, segment breakdown, market-position breakdown, top
compare_countries — Side-by-side comparison of 2-5 countries: aligned rows for company count, segment mix, market-position mix, and priced market cap, plus which segments each coun
get_segment_leaders — Who runs a given layer of the semiconductor & AI supply chain: the companies at monopoly/leader market position in one taxonomy segment (or all 12 if none given
get_upstream_concentration — For one focal company: break its suppliers down by headquarters country and by segment, report an HHI concentration index (0 = spread evenly, 1 = fully concentr
find_paths_between — Every documented supply path between two companies, following supplier->customer edges (e.g. 'how does NVIDIA actually depend on Shin-Etsu'). Searches up to max
simulate_disruption — Remove one company, every company in one country, or every company in one segment from the documented supply graph and report the blast radius: which companies
find_single_source_dependencies — Screen for (customer, subsegment) pairs where the customer has exactly ONE documented supplier in that subsegment — the highest-value documented-concentration r
rank_by_connectivity — Rank companies by documented supply-chain degree: customer count (downstream reach), supplier count (upstream dependence), or total. CRITICAL: degree measures h
find_common_suppliers — The shared-upstream question over a set of companies: given 2-15 company ids/tickers, or a segment id (uses every company in that segment), rank suppliers by ho
get_deal — Full record for one M&A deal by id: title, type, value, announced date, status, all parties with their resolved company refs where a dataset id exists (and the
find_deals_by_company — Every M&A deal a company took part in, split by role (as acquirer, as target, or other). Matches by dataset id first, then falls back to case-insensitive name m
get_ma_activity_summary — Aggregate view of the full 74-deal M&A corpus: counts by year (from announced date), by deal type, and by status; total and median disclosed value; and the larg
find_consolidation_hotspots — Ranks taxonomy segments by M&A activity by mapping each deal's parties onto their companies' segments (matching by id, then falling back to case-insensitive nam
get_dataset_stats — The honesty tool: what this dataset actually contains and where it is thin. Live-computed per-field coverage for companies and deals, last_verified staleness di
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