Eurostat TAM MCP server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Eurostat TAM MCP serverget enterprise counts for NACE code C27"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Eurostat TAM MCP server
An MCP server that pulls enterprise counts by NACE Rev.2 activity and size
class from Eurostat (dataset sbs_sc_ovw)
and buckets them to match the DTM TAM model's columns:
Sheet column | What this server returns |
SMEs |
|
Corp: Mid-cap (250–4,999) |
|
* Eurostat's top size band is 250+ with no 5,000 split, so use ORBIS/ONS to separate Mid-cap from Large downstream.
What this does NOT cover (by design — the model sources these elsewhere)
Startups / Scaleups → Dealroom / Harmonic (venture-backed, € raised)
Corp Large (5,000+) → ORBIS / UK ONS
United Kingdom → ORBIS / ONS (UK left Eurostat after Brexit)
Default geography is EU27 + Norway + Switzerland, summed (EU27 via Eurostat's
pre-aggregated EU27_2020 geo, so one call covers all 27).
Tools
get_enterprise_counts(nace_code, geo?, year?, exclude_micro?)
One NACE code → SME and 250+ counts. Example: get_enterprise_counts("C27").
get_segment_counts(nace_codes, geo?, year?, exclude_micro?)
A list of codes for one value-chain segment → per-code results plus a summed
segment total. Example for "Equipment Suppliers & OEMs":
get_segment_counts(["C27", "C28"]).
fill_tam_sheet(input_path, output_path?, dry_run=True, geo?, year?, exclude_micro?)
Reads NACE codes straight from the Company Counts by Segment sheet, pulls
counts for every segment, and writes the SMEs (col F) and Corp Mid-cap
250+ (col G) cells. Run with dry_run=True first to audit the per-row parse,
then dry_run=False to save (defaults to <input>_FILLED.xlsx — never
overwrites the original unless you pass the same path).
Only yellow input cells are written; blue subtotals, the grey public-sector row, and demand-side rows are left untouched. Subtotal/Low/High formulas and cell formatting are preserved.
Related MCP server: eu-company-mcp-server
A critical data caveat: Eurostat has no 4-digit NACE detail
sbs_sc_ovw only goes down to division (C27) and group (C279) — there is
no class-level data (C26.30, D35.11, …). The CMO's sheet is mostly class
codes, so every code is resolved down to the nearest level that exists:
class → group → division → section
Each row reports which codes it used and a coarsened list flagging where it
fell back to a whole division (e.g. J63 = all information services). Those
numbers are upper bounds for the intended class — refine with ORBIS if needed.
NACE sub-classes use the dotted form in the sheet, e.g. "C26.30", "D35.11".
Setup
cd /Users/lini/Documents/Claude/eurostat-mcp
uv venv --python 3.12
uv pip install "mcp[cli]"Test the live logic without the MCP layer:
uv run python -c "import server, json; print(json.dumps(server.get_enterprise_counts('C27'), indent=2))"Register it with Claude Code
Copy the block in .mcp.json into your Claude Code MCP config, or
from any project run:
claude mcp add eurostat-tam -- uv run --directory /Users/lini/Documents/Claude/eurostat-mcp server.pyThen in a Claude Code session you can just ask:
"Use eurostat-tam to pull C27+C28 for the Equipment Suppliers segment, exclude micro."
Notes & caveats
Summing NACE codes can double-count a firm that reports under multiple activities. De-dup per the sheet's classification waterfall before trusting totals.
Subtract venture-backed firms (counted as startups/scaleups) from the SME/Corp pulls so each company lands in exactly one bucket.
Latest year auto-resolves (currently 2024) unless you pass
year.
This server cannot be installed
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