Bosco Labs data

Bosco Labs data: MCP server

One MCP server that gives AI agents official-source data: free company lookups (LEI, SEC), plus SEC insider trades and filings, US House members' stock trades, Pentagon contract awards, EU public tenders and the financials of European companies. The paid tools each run one of the Bosco Labs Apify Actors with your own Apify token. Every tool returns a short JSON list with a source link on every row.

Free tools (no token)

These two tools call the open official APIs directly: no Apify token, no key, no cost.

claude mcp add bosco-labs-data -- uvx bosco-labs-data-mcp   # no token needed for these# ask: "Look up the LEI of ASML" -> lei_lookup {"query": "ASML"}

Each result has a next_steps list: the paid call that gives the full picture (filings, insider trades or financials), with its tool and arguments on the remote MCP server (https://api.boscolabs.dev/mcp) and the HTTP API, and stdio_tool / stdio_arguments for this package.

Paid tools

Every tool has a max_results parameter with a small default (3 to 25 rows) and a hard maximum, so one call costs cents. dod_contract_awards can take a minute or more.

Two other Bosco Labs Actors are not tools here because they work on your own Apify datasets or Google credentials: Dedup & Merge Datasets and Google Sheets Export. Use them on Apify directly.

Pricing

The free tools cost nothing. For the paid tools you pay Apify per row returned, with your own token, at the prices above (the free Apify plan includes monthly credit). The server itself is free; it only calls Apify (paid tools), GLEIF and the SEC (free tools).

Install

1. For the paid tools, get an Apify API token: https://console.apify.com/settings/integrations (skip this for the free tools only).
2. Install uv.
3. Add the server to your client (below). Once the package is on PyPI the command is uvx bosco-labs-data-mcp. Until then, run it from this folder: uvx --from /path/to/bosco-labs-data/mcp bosco-labs-data-mcp.

Claude Desktop

claude_desktop_config.json (Settings -> Developer -> Edit Config):

{  "mcpServers": {    "bosco-labs-data": {      "command": "uvx",      "args": ["bosco-labs-data-mcp"],      "env": { "APIFY_TOKEN": "apify_api_..." }    }  }}

Cursor

~/.cursor/mcp.json (or .cursor/mcp.json in a project): the same mcpServers block as above.

Claude Code

claude mcp add bosco-labs-data -e APIFY_TOKEN=apify_api_... -- uvx bosco-labs-data-mcp

Without a token, leave out the env block (or -e APIFY_TOKEN=...): the free tools work and the paid tools reply that a token is needed.

Alternative: Apify's hosted MCP server

Without installing anything, you can use the same Actors through Apify's own MCP server (OAuth or your token; each Actor becomes a tool with its full input):

https://mcp.apify.com?tools=Bosco_labs/esef-annual-reports,Bosco_labs/company-accounts,Bosco_labs/sec-insider-trades,Bosco_labs/sec-filings-feed,Bosco_labs/us-house-trades,Bosco_labs/eu-tenders,Bosco_labs/dod-contract-awards

This server is the lighter option: typed parameters, small defaults and compact results.

Development

uv run --with pytest pytest -q    # from this folder; Apify, GLEIF and SEC are mocked, plus a stdio smoke test

Source and releases: https://github.com/Bosco-Labs/bosco-labs-data (folder mcp/). Releases are published to PyPI and the official MCP Registry by the publish-mcp.yml GitHub Actions workflow; see PUBLISHING.md.