mcp-investment-data
A small MCP server exposing investment-data tools (search_companies, get_company) over a synthetic firmographic dataset, enabling natural language queries for company information.
README
mcp-investment-data
A small Model Context Protocol (MCP) server that exposes investment-data tools to any MCP host (Claude Desktop, the MCP Inspector, or a custom client). It's the warm-start for an AI-native data layer.
What it exposes
Two tools over a tiny synthetic firmographic dataset:
search_companies(query)— match companies by name or sectorget_company(name)— fetch one company's full record
No JSON Schema, no request parsing, no validation code — the type hints are the schema. That's the point of MCP: business logic in, protocol handled for you.
Run it
Requires Python 3.10+.
pip install -r requirements.txt
Verify it (no extra tooling) — a tiny MCP client that spawns the server, does the handshake, and calls a tool:
python test_client.py
Expected:
Connected. Tools: ['search_companies', 'get_company']
search_companies('UAE'):
{"name": "Tabby", ...}
{"name": "Lean Technologies", ...}
...
Use it in Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json, then restart Claude Desktop and ask it to "use investment-data to search companies for UAE."
{
"mcpServers": {
"investment-data": {
"command": "/absolute/path/to/python",
"args": ["/absolute/path/to/server.py"]
}
}
}
The
argsarray is the reliable way to pass paths — unlike a single command string (e.g. the MCP Inspector's box), it never splits on spaces, so a project path containing a space works as-is.
Design note (why v1.x, not v2)
The MCP Python SDK's v2 is a pre-release (alpha/beta) with breaking changes between builds — the SDK's own README says not to use it in production. This repo pins stable v1.x (mcp[cli]>=1.27,<2) so it keeps working. Deliberate dependency hygiene, not laziness.
Roadmap
- [x] v0 — hello world: two tools over a 5-company in-memory dataset. (this)
- [ ] v1 — real dataset: ~10k generated firmographic rows; add
get_signalsandlist_recent_funding. - [ ] v2 — agent: a small agent (
thesis-agent) that consumes this server — "given a fund's thesis, return the top candidate companies and why." - [ ] v3 — write-up: essay "What MCP means for investment-data infrastructure" + a buyer-facing README.
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