INDIVIDUAL MCP TOOL

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 it does not), summary, sources, and the per-deal confidence flag.

wafergraph.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.wafergraph.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_deal and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

wafergraph.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.wafergraph-mcp]
url = "https://mcp.wafergraph.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "wafergraph-mcp": {
      "type": "http",
      "url": "https://mcp.wafergraph.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: wafergraph-mcp
Remote MCP URL: https://mcp.wafergraph.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "wafergraph-mcp": {
      "type": "http",
      "url": "https://mcp.wafergraph.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "wafergraph-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.wafergraph.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

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.
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.
get_supply_chain — Walk the supplier/customer graph from one focal company, up to 2 tiers up (suppliers), down (customers), or both.
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.
compare_companies — Side-by-side comparison of 2-6 companies on the same fields, plus their shared and unique supply-chain counterparties.
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.
find_chokepoints — Rank supply-chain chokepoints: companies many others depend on, weighted by how concentrated their market position is.