MCP servercom.wafergraph/wafergraph-mcp
Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth.
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
36
last 42 min ago
Tools
30
More info
URL
wafergraph-mcp.jwpalm99.workers.dev/mcp
streamable-http
Says it is
wafergraph-mcp 1.2.0
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:cd5bec3751…a8ebd7
| Tool | Schema |
|---|---|
| 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 same upstream supplier |
input · no output |
| 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_company calls when |
input · no output |
| 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 country is uniquely pres |
input · no output |
| 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 paginated. Use this i |
input · no output |
| 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 dependency plus monop |
input · no output |
| 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 how many of the input |
input · no output |
| 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 name), then aggregating |
input · no output |
| 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 matching — necessary |
input · no output |
| 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_depth hops in one o |
input · no output |
| 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_companies or resolve_ticker |
input · no output |
| 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 risk screen in the da |
input · no output |
| 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/lines). Fields are del |
input · no output |
| 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. Answers 'how concentrated |
input · no output |
| 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 companies by market |
input · no output |
| 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 distribution, supply-c |
input · no output |
| 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 raw party name where |
input · no output |
| get_deals Search wafergraph's semiconductor & AI supply-chain M&A corpus (74 acquisitions/mergers, including notable terminated attempts) by title/summary substring and/or segment. Returns a |
input · no output |
| 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 largest deals by value. |
input · no output |
| 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), with country and |
input · no output |
| 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 market_position enum. |
input · no output |
| get_subsegment 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 over the FULL match |
input · no output |
| 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 Explorer. Returns compa |
input · no output |
| 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 concentrated in one bucket) |
input · no output |
| 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 (with counts), public |
input · no output |
| 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 this (or get_segments |
input · no output |
| rank_by_connectivity Rank companies by documented supply-chain degree: customer count (downstream reach), supplier count (upstream dependence), or total. CRITICAL: degree measures how well a relationsh |
input · no output |
| 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 companies dataset-w |
input · no output |
| 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 ticker list, pasted nam |
input · no output |
| 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. Returns a compact |
input · no output |
| 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 lose a documented su |
input · no output |
Verify it yourself
npx teppi-check https://wafergraph-mcp.jwpalm99.workers.dev/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ29V0QZBKX1XCSH2Z7Q34