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  3. Nace Mcp
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Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 11:56:18 PM

Nace Mcp

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Browse, search and fuzzy-match NACE Rev. 2.1 economic activity classification codes.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "nace-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

nace-mcp

An MCP server exposing NACE Rev. 2.1 economic activity classification codes for AI agents.

NACE (Nomenclature of Economic Activities) is the European standard for classifying economic activities. This server loads all 1,047 codes into memory at startup and provides four tools for browsing, looking up, searching, and fuzzy-matching codes β€” without ever dumping the full dataset to the agent.

MCP Configuration

Add to your Claude (or any MCP-compatible client) config:

config.json
{
  "mcpServers": {
    "nace-mcp": {
      "command": "npx",
      "args": ["nace-mcp"]
    }
  }
}

Tools

nace_get(code)

Returns full details for a single NACE code.

Input: code β€” e.g. "A", "01", "25.1", "25.11"

Example output:

config.json
{
  "code": "95.31",
  "label": "Repair and maintenance of motor vehicles",
  "level": "class",
  "parent": "95.3"
}

nace_browse(parent_code?)

Returns the direct children of a code (compact: code + label only). Omit parent_code to list all 22 top-level sections. Max 50 results.

Input: parent_code (optional) β€” e.g. "C", "25", "25.1"

Example β€” nace_browse() (no argument):

config.json
[
  { "code": "A", "label": "Agriculture, forestry and fishing" },
  { "code": "B", "label": "Mining and quarrying" },
  { "code": "C", "label": "Manufacturing" },
  ...
]

Example β€” nace_browse("J"):

config.json
[
  { "code": "58", "label": "Publishing activities" },
  { "code": "59", "label": "Motion picture, video and television programme production, sound recording and music publishing activities" },
  { "code": "60", "label": "Programming, broadcasting, news agency and other content distribution activities" },
  ...
]

nace_search(query)

Case-insensitive substring search across all activity labels. Returns up to 10 matches.

Input: query β€” e.g. "software", "fishing", "consulting"

Example β€” nace_search("software"):

config.json
[
  { "code": "58.1", "label": "Publishing of books, newspapers and other publishing activities, except software publishing", "level": "group" },
  { "code": "58.19", "label": "Other publishing activities, except software publishing", "level": "class" },
  { "code": "58.2", "label": "Software publishing", "level": "group" },
  { "code": "58.29", "label": "Other software publishing", "level": "class" }
]

nace_suggest(activity_description)

Fuzzy-matches a free-text description to NACE codes. Tokenizes the input, scores by matched terms, and returns the top 5 candidates with a brief explanation. Designed for AI agents doing classification.

Input: activity_description β€” free-text description of the economic activity

Example β€” nace_suggest("computer programming software development consultancy"):

config.json
[
  {
    "code": "62",
    "label": "Computer programming, consultancy and related activities",
    "level": "division",
    "reason": "Matched: \"computer\", \"programming\", \"consultancy\""
  },
  {
    "code": "62.1",
    "label": "Computer programming activities",
    "level": "group",
    "reason": "Matched: \"computer\", \"programming\""
  },
  {
    "code": "62.10",
    "label": "Computer programming activities",
    "level": "class",
    "reason": "Matched: \"computer\", \"programming\""
  },
  ...
]

Tip: For non-English descriptions (e.g. German "KFZ Mechaniker"), rephrase in English before calling nace_suggest.


Prompt Examples

These examples show how an AI agent uses the tools in practice.


"What NACE code applies to a car repair shop?"

The agent calls nace_suggest with an English description:

Code
nace_suggest("motor vehicle repair maintenance workshop")
config.json
[
  {
    "code": "95",
    "label": "Repair and maintenance of computers, personal and household goods, and motor vehicles and motorcycles",
    "level": "division",
    "reason": "Matched: \"motor\", \"vehicle\", \"repair\", \"maintenance\""
  },
  {
    "code": "95.3",
    "label": "Repair and maintenance of motor vehicles and motorcycles",
    "level": "group",
    "reason": "Matched: \"motor\", \"vehicle\", \"repair\", \"maintenance\""
  },
  {
    "code": "95.31",
    "label": "Repair and maintenance of motor vehicles",
    "level": "class",
    "reason": "Matched: \"motor\", \"vehicle\", \"repair\", \"maintenance\""
  }
]

The agent then drills into the best match with nace_get("95.31") to confirm the parent chain:

config.json
{
  "code": "95.31",
  "label": "Repair and maintenance of motor vehicles",
  "level": "class",
  "parent": "95.3"
}

Result: 95.31 is the correct class-level code for a car repair shop.


"What NACE code covers a bakery?"

Code
nace_suggest("bakery bread pastry production")
config.json
[
  {
    "code": "10.71",
    "label": "Manufacture of bread; manufacture of fresh pastry goods and cakes",
    "level": "class",
    "reason": "Matched: \"bread\", \"pastry\""
  }
]

Result: 10.71 β€” first candidate is an exact match, no further navigation needed.


"Explore the information & communication sector"

The agent browses the hierarchy top-down:

Code
nace_browse("J")
config.json
[
  { "code": "58", "label": "Publishing activities" },
  { "code": "59", "label": "Motion picture, video and television programme production, sound recording and music publishing activities" },
  { "code": "60", "label": "Programming, broadcasting, news agency and other content distribution activities" },
  { "code": "61", "label": "Telecommunications" },
  { "code": "62", "label": "Computer programming, consultancy and related activities" },
  { "code": "63", "label": "Information service activities" }
]

Then zooms into division 62:

Code
nace_browse("62")
config.json
[
  { "code": "62.1", "label": "Computer programming activities" },
  { "code": "62.2", "label": "Computer consultancy and computer facilities management activities" },
  { "code": "62.3", "label": "Computer facilities management activities" },
  { "code": "62.9", "label": "Other information technology and computer service activities" }
]

Data

  • Source: jnsprnw/nace-codes β€” community-maintained JSON conversion of the official Eurostat NACE Rev. 2.1 classification
  • Coverage: 1,047 entries across 22 sections (A–U), 4 levels (section β†’ division β†’ group β†’ class)
  • Authority: Eurostat NACE Rev. 2.1

Development

Terminal
npm install
npm run build    # compile TypeScript β†’ dist/
node dist/index.js  # run the server (listens on stdio)

To inspect with the MCP Inspector:

Terminal
npx @modelcontextprotocol/inspector node dist/index.js

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Frequently Asked Questions about Nace Mcp

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "nace-mcp": { "command": "npx", "args": ["-y", "nace-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Feb 19, 2026
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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