How do I use nace-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@nace-mcp Find NACE code for a car repair shop" 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.

nace-mcp

by DeJo90

Overview Schema Related Servers Score Discussions

JavaScript

Remote

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 — without ever dumping the full dataset to the agent.

MCP Configuration

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

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

Related MCP server: mc8yp

Tools

`nace_get(code)`

Returns full details for a single NACE code.

Input: code — e.g. "A", "01", "25.1", "25.11"

Example output:

{
  "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) — e.g. "C", "25", "25.1"

Example — nace_browse() (no argument):

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

Example — nace_browse("J"):

[
  { "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 — e.g. "software", "fishing", "consulting"

Example — nace_search("software"):

[
  { "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 — free-text description of the economic activity

Example — nace_suggest("computer programming software development consultancy"):

[
  {
    "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:

nace_suggest("motor vehicle repair maintenance workshop")

[
  {
    "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:

{
  "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?"

nace_suggest("bakery bread pastry production")

[
  {
    "code": "10.71",
    "label": "Manufacture of bread; manufacture of fresh pastry goods and cakes",
    "level": "class",
    "reason": "Matched: \"bread\", \"pastry\""
  }
]

Result: 10.71 — first candidate is an exact match, no further navigation needed.

"Explore the information & communication sector"

The agent browses the hierarchy top-down:

nace_browse("J")

[
  { "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:

nace_browse("62")

[
  { "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 — 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 → division → group → class)
Authority: Eurostat NACE Rev. 2.1

Development

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

To inspect with the MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

Need Help?

Related Servers

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly
Lightport: Open-Sourcing Glama's AI Gateway
By punkpeye on April 27, 2026.
OpenAI
open source

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DeJo90/nace-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server