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Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth.
Remote server: your requests and data go to wafergraph-mcp.jwpalm99.workers.dev. Claude Code: claude mcp add --transport http wafergraph-mcp https://wafergraph-mcp.jwpalm99.workers.dev/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
search_companies — Search wafergraph's semiconductor & AI supply-chain company dataset (615 companies across 12 segments) by name/one_liner substring and/or seget_company — Full allowed profile for one company (by id or exact name) plus its supplier/customer supply-chain edges. Includes key_products (short list get_segments — The wafergraph taxonomy: 12 top-level supply-chain segments (materials through ai_datacenter) and their subsegments, each with a live companget_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 get_deals — Search wafergraph's semiconductor & AI supply-chain M&A corpus (74 acquisitions/mergers, including notable terminated attempts) by title/sumcompare_companies — Side-by-side comparison of 2-6 companies on the same fields, plus their shared and unique supply-chain counterparties. Cheaper and more aligget_country_exposure — Geographic concentration of the supply chain: which countries host the companies in a given segment (or across all 12 segments), ranked by cfind_chokepoints — Rank supply-chain chokepoints: companies many others depend on, weighted by how concentrated their market position is. A chokepoint here meaanalyze_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 hfilter_companies — Structured multi-criteria screen over all 615 companies: exact segment/subsegment/country/market_position/public filters plus a market-cap rlist_subsegments — Every subsegment across wafergraph's 12-segment taxonomy, each with its live company count and parent segment id/name, optionally filtered tget_subsegment — All companies in one segment+subsegment pair, as compact refs sorted by market cap descending, plus a market_position breakdown and a countrfind_similar_companies — Nearest structural neighbours to one focal company, ranked by a transparent Jaccard-similarity score — not a market or competitive judgment.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 attresolve_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 rlist_countries — Every country in wafergraph's semiconductor & AI supply-chain dataset (29 countries across 615 companies) with company count, which segmentsget_country_profile — Deep profile of one country's presence in wafergraph's semiconductor & AI supply-chain dataset: company count, segment breakdown, market-poscompare_countries — Side-by-side comparison of 2-5 countries: aligned rows for company count, segment mix, market-position mix, and priced market cap, plus whicget_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 get_upstream_concentration — For one focal company: break its suppliers down by headquarters country and by segment, report an HHI concentration index (0 = spread evenlyfind_paths_between — Every documented supply path between two companies, following supplier->customer edges (e.g. 'how does NVIDIA actually depend on Shin-Etsu')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 radifind_single_source_dependencies — Screen for (customer, subsegment) pairs where the customer has exactly ONE documented supplier in that subsegment — the highest-value documerank_by_connectivity — Rank companies by documented supply-chain degree: customer count (downstream reach), supplier count (upstream dependence), or total. CRITICAfind_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), 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 datasetfind_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 casget_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 disclosedfind_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 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_vNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.