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Termdat MCP

by malkreideversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.malkreide/termdat-mcp

Install

Overview

Description from the maker (original English)

MCP server for TERMDAT — the terminology database of the Swiss Federal Administration

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "termdat": {
      "command": "uvx",
      "args": [
        "termdat-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add termdat -- uvx termdat-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "termdat": {
      "command": "uvx",
      "args": [
        "termdat-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "termdat": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "termdat-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account malkreide, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 954 servers in this category
  • Published to the registry more recently than 40% of the other 954 servers in this category
  • Basic checks equal to or better than 100% of the other 954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Termdat MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today
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MongoDB MCP Server

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Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🇨🇭 Part of the Swiss Public Data MCP Portfolio — open-source MCP servers connecting AI agents to Swiss public and open data.

This is a private project. It is independent of any employer or institutional affiliation.

🏷️ termdat-mcp

Official, validated Swiss administrative designations across DE / FR / IT / EN — with source references and validation status.

🇩🇪 Deutsche Version

Overview

MCP server for TERMDAT, the terminology database of the Swiss Federal Administration, maintained by the Federal Chancellery. It gives an AI agent the officially validated designations of Swiss authorities, departments and legal acts across DE / FR / IT / EN — with source references and validation status.

Discovered through i14y-mcp, which catalogues TERMDAT as data service ff0c37eb-2f7c-4ff6-996e-d22b77bf52fc.

What this is — and what it is not. TERMDAT is not a subject dictionary. It is a certified name-plate archive: it will not tell you what «Sonderpädagogik» means, but it will tell you the official name of the authority responsible for it, and what that authority is called in French.

Measured coverage (live, 2026-07-19, German search over the Terminus field):

Search termHits
Departement20
Bildung13
Verordnung8
Schule5
Behörde4
Sonderpädagogik3
Volksschule · Lehrperson · Schulleitung · Unterricht · Kindergarten0

The thirteen «Bildung» hits are organisational names — Bildungsdirektion, Erziehungsdepartement, Departement für Volkswirtschaft und Bildung — not pedagogical concepts. Plan accordingly: this server is strong for authority naming, official titles and abbreviations, and largely silent on domain vocabulary.

Features

  • Seven read-only tools over the official TERMDAT public v2 API.
  • Official designations across DE / FR / IT / EN, with source reference and validation status on every response.
  • Communication QA: check up to 25 terms in one call against validated designations.
  • Vocabulary cache (24 h TTL) for the 140 collections and 23 classifications, with stale-serve fallback.
  • Retry with exponential backoff (2/4/8 s); explicit MaxEntryCount to avoid silent truncation.
  • Dual transport: stdio (local) and Streamable HTTP (cloud). Both serve MCP protocol revision 2026-07-28.
  • No authentication required — public, unauthenticated API (No-Auth-First).

🎯 Anchor demo query

*«What are the official French and Italian names of the education directorates of the German-speaking cantons?»*

Resolved with list_classifications → search_terms → translate_term.

Demo

Prerequisites

  • Python 3.10+
  • uv / uvx (recommended) or pip
  • Network access to api.termdat.bk.admin.ch — no API key needed

Installation

uvx termdat-mcp

Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "termdat": { "command": "uvx", "args": ["termdat-mcp"] } } }

Quickstart

# Run locally over stdio (default transport)

uvx termdat-mcp

From a checkout, without installing

PYTHONPATH=src python -m termdat_mcp

Configuration

All configuration is via environment variables. Defaults are safe for local use.

VariableDefaultPurpose
TERMDAT_MCP_TRANSPORTstdioTransport: stdio (local) or streamable-http / http (cloud). sse is accepted as a deprecated alias and now serves Streamable HTTP on /mcp — it warns on startup
HOST127.0.0.1Bind host (HTTP transport only). Loopback by default; set HOST=0.0.0.0 only inside a container
PORT8000Bind port (HTTP transport only)
TERMDAT_MCP_CORS_ORIGINS[]HTTP only: explicit allowed browser origins (default-deny; never a wildcard in production). Comma-separated, e.g. https://a.example,https://b.example
TERMDAT_MCP_ALLOWED_HOSTS[]HTTP only: inbound Host allow-list. Comma-separated, e.g. mcp.example.ch,mcp.example.ch:443. Needed for a non-loopback bind — without it the Host header is not checked at all
TERMDAT_MCP_LOG_LEVELINFOstructlog level (JSON to stderr)
TERMDAT_MCP_VOCAB_TTL86400Vocabulary cache TTL in seconds

Configuration is loaded once into a typed Settings object (pydantic-settings).

List variables. TERMDAT_MCP_CORS_ORIGINS and TERMDAT_MCP_ALLOWED_HOSTS take a comma-separated list — the recommended spelling, and the one the rest of the Swiss Public Data MCP portfolio uses:

TERMDAT_MCP_ALLOWED_HOSTS="mcp.example.ch,mcp.example.ch:443"

A JSON list (["mcp.example.ch"]) stays valid. Surrounding whitespace and empty entries are dropped in both forms, so a trailing comma is harmless. A single value needs no brackets.

`TERMDAT_MCP_ALLOWED_HOSTS` matters in the cloud. The SDK leaves DNS-rebinding protection off while no allow-list is configured. Bind to 0.0.0.0 in a container without this variable and the Host header is never validated — the server cannot derive its own public name from the bind address, and a guessed list would reject every real request with HTTP 421. It warns on startup when it has to fall back to that state.

Cloud (Render / Railway):

TERMDAT_MCP_TRANSPORT=streamable-http PORT=8000 termdat-mcp   # exposes /mcp

Available Tools

ToolPurpose
search_termsSearch TERMDAT with field flags, collection and classification filters
translate_termOfficial equivalent of an administrative term in another national language
check_termsCommunication QA: check up to 25 terms against validated designations
get_entriesFetch known entries by numeric ID
list_collectionsThe ~140 terminology collections (filter values)
list_classificationsThe 23 subject classifications, e.g. BILD = education
api_statusAvailability; never returns silently empty

All tools are annotated readOnlyHint: true, destructiveHint: false.

MCP primitives. This server uses only the Tools primitive. TERMDAT answers are live queries with no stable resource hierarchy to expose as *Resources*, and there are no server-authored *Prompts*. The seven tools are small and closely related, so they live in a single server.py rather than a tools/ package.

Architecture

┌─────────────────┐  stdio / HTTP    ┌──────────────────────────┐

│ MCP host │ ───────────────► │ termdat-mcp │ │ (Claude, IDE) │ ◄─────────────── │ │ └─────────────────┘ │ vocabulary cache (24 h) │ │ 140 collections │ │ 23 classifications │ └────────────┬─────────────┘ │ httpx + retry (2/4/8 s) ▼ https://api.termdat.bk.admin.ch/v2 ├── /Search (SearchTerm + InLanguageCode) ├── /Entry (EntryIds) ├── /Collection (140 values) └── /Classification ( 23 values, incl. BILD)

Architecture decision

This server uses Architecture A (live API only), with caching limited to the two controlled vocabularies.

Rationale (verified live on 2026-07-19):

  • The API publishes a complete OpenAPI 3.0.4 specification at /swagger/v2/swagger.json and declares no security schemes — unauthenticated access, No-Auth-First satisfied.
  • Server-side search works properly, including 11 field flags and filters by collection and classification. There is no reason to mirror the database locally, and no bulk dump is offered.
  • /Collection (140 entries) and /Classification (23 entries) change rarely and are needed to make filter arguments legible to an agent, so they are cached with a 24-hour TTL and a stale-serve fallback.

Consequences:

  • Every search is a live call; provenance is live_api except for vocabulary lookups.
  • Validation errors arrive as clean RFC 9110 payloads and are surfaced rather than swallowed.

Project Structure

termdat-mcp/

├── src/termdat_mcp/ │ ├── init.py │ ├── main.py # entry point; dual transport (stdio / Streamable HTTP) │ ├── client.py # httpx client, retry, vocabulary cache │ ├── models.py # Pydantic models │ └── server.py # MCP tool definitions ├── tests/ │ ├── test_client.py # offline, respx-mocked │ └── test_live.py # hits the real TERMDAT API ├── README.md ├── README.de.md ├── CHANGELOG.md ├── LICENSE └── pyproject.toml

Safety & Limits

  • Read-only. Every tool is annotated readOnlyHint: true, destructiveHint: false; the server never writes to TERMDAT.
  • No credentials handled. The API is unauthenticated; the server stores and forwards no secrets.
  • No silent empties. api_status and error paths surface failures instead of returning an empty result that looks complete.
  • Truncation is explicit. MaxEntryCount is always sent and truncated is reported (see Known Limitations).
  • Terms of use are stated, not guessed. Every response repeats them in source: reuse and republication require the source www.termdat.ch to be named, and the Federal Chancellery's Terminology Section to be informed of purpose and manner beforehand (statement of 2026-08-21).
  • Egress allow-list. Requests can only reach api.termdat.bk.admin.ch (HTTPS), enforced before every call by a frozen ALLOWED_HOSTS set — no user input can redirect egress. See docs/network-egress.md.
  • Loopback by default. The HTTP transport binds to 127.0.0.1; 0.0.0.0 is an explicit container opt-in that warns on stderr. It also sets default-deny CORS, exposing only Mcp-Session-Id.
  • Errors are masked. Upstream/internal error detail is logged to stderr (structlog JSON) and never returned to the model.
  • Accepted risks (ADRs): DNS pinning (ADR 0001) and stateful load balancing (ADR 0002) are deliberately deferred — low risk for a single-instance, single-host, no-auth server.
  • Container. A hardened, non-root Dockerfile is provided for hosted deployments.

Known Limitations

  • Administrative scope only. See the coverage table above. check_terms returns not_found, never «incorrect», precisely because absence from TERMDAT is not evidence of error.
  • `MaxEntryCount` has a silent default of ~25. Omitting it looks like a complete result set. This server always sends the parameter explicitly and reports truncated.
  • `CollectionIds` / `ClassificationIds` have a silent default of `VARIA`. An ID-less /v2/Search covers one of 23 subject areas — the

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