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bag-health-mcp

PyPI Python 3.11+ License: MIT Swiss Public Data MCP Portfolio

Part of the Swiss Public Data MCP Portfolio β€” connecting AI models to Swiss public data sources.

πŸ‡©πŸ‡ͺ Deutsche Version

MCP server for Swiss public health data. Its core is the Swiss Federal Office of Public Health (BAG) Infectious Disease Dashboard (IDD) β€” epidemiological surveillance for 51 pathogens (influenza, COVID-19, measles, wastewater surveillance, and more) β€” extended with a multi-source health-indicator layer over the Swiss Health Observatory (Obsan), the Versorgungsatlas (health-care supply atlas, with cantonal series) and Sucht Schweiz (HBSC youth survey). All read-only, public Open Government Data.


What You Can Do

"Wie ist die aktuelle Grippesituation im Kanton ZΓΌrich verglichen mit den letzten Wochen?"
β†’ bag_health_mcp__get_canton_situation(canton="ZH")

"Gibt es aktuell einen Masernausbruch in der Schweiz?"
β†’ bag_health_mcp__get_disease_data(series_id="measles/cases/incValue/year", canton="all")

"Wie entwickelt sich das SARS-CoV-2-Signal im Abwasser?"
β†’ bag_health_mcp__list_series(topic="wastewater_viral_load")
β†’ bag_health_mcp__get_disease_data(series_id="wastewater_viral_load/NA/value/date", ...)

"Welche Krankheitsdaten stellt das BAG aktuell bereit?"
β†’ bag_health_mcp__list_diseases()

"Wie hat sich der Alkoholkonsum bei 15-JÀhrigen seit 2010 entwickelt?"   # 🎯 anchor query
β†’ bag_health_mcp__search_health_indicators(source="suchtschweiz", topic="alkohol")
β†’ bag_health_mcp__get_indicator_series(source="suchtschweiz",
      indicator_id="monam/alkoholkonsum-alter-11-15", region="ZH", year_from=2010)
β†’ More use cases by audience β†’

🎯 Anchor demo query β€” Β«Wie hat sich der Alkoholkonsum bei 15-JΓ€hrigen im Kanton ZΓΌrich seit 2010 entwickelt, und wie steht der Kanton im Schweizer Vergleich da?Β» The HBSC youth series (via Obsan) answers the Switzerland-wide trend since 2010 with 95% confidence intervals. This particular indicator is national only, so the response includes a region_note saying so (HBSC is not cantonally representative). Most other Obsan indicators are published by canton β€” see the note on cuts below. These are aggregated population statistics β€” not individual advice. See docs/tool-design-health-indicators.md.


Related MCP server: swisstopo-mcp

Tools

Infectious-disease surveillance (BAG IDD):

Tool

Description

bag_health_mcp__list_diseases

List all 51 disease topics, grouped by category

bag_health_mcp__list_series

List data series for a specific disease

bag_health_mcp__get_series_details

Get available filter dimensions (canton, age, sex)

bag_health_mcp__get_disease_data

Fetch time-series surveillance data

bag_health_mcp__get_canton_situation

Situational overview for a canton (Schulamt use case)

bag_health_mcp__list_export_files

List available complete export datasets

bag_health_mcp__download_export

Download raw CSV/JSON export

bag_health_mcp__get_data_version

Current data version (updated every Wednesday)

Health indicators β€” Obsan, Versorgungsatlas & Sucht Schweiz (multi-source):

Tool

Description

bag_health_mcp__search_health_indicators

Search indicators by source (obsan / versorgungsatlas / suchtschweiz), topic, region, year range

bag_health_mcp__get_indicator_series

Fetch one indicator's time series, naming which cut it is (variant: national / by canton / by age class / by social position / distribution) and which others exist. Pass region='ZH' for the cantonal cut; 95% CIs throughout

⚠️ Aggregated population statistics only. The indicator tools serve population-level aggregates (prevalences/metrics by age/sex/region) β€” not individual advice, diagnosis or case assessment, and no personal data. This is stated in both tool descriptions and every response (aggregate_statistics_notice), and matters especially for suchtschweiz (HBSC), which touches prevention topics in a school context. Sources: Obsan ind.obsan.admin.ch (clean JSON API); Sucht Schweiz HBSC via the Obsan mirror (national); Versorgungsatlas returns a cantonal year/value series (26 cantons + a CH national total, with 95% CIs and a canton-vs-CH ratio) from the Tarifpool. See the per-source probe notes.

Obsan publishes an indicator in several cuts, not one series. Measured over 60 catalogue entries on 2026-08-08: 50 have a cantonal cut (kg), 49 one by age class (ag), 24 one by social position (sd) β€” and only 3 the plain national one (g). They are different measurements with different units, so get_indicator_series names the cut it returned in variant and lists the rest in variants_available, rather than presenting one as a stand-in for another. Eight of the 60 publish no series at all; that case fails with its reason instead of returning an empty result. The census is recorded and dated in tests/fixtures/obsan_variant_census.json.

Tool annotations

All tools carry MCP tool annotations so a host can reason about them without calling. Every tool is identical here β€” it only ever reads from the public, allow-listed data sources (BAG IDD, Obsan, Versorgungsatlas):

Annotation

Value

Meaning

readOnlyHint

true

No tool mutates any state.

destructiveHint

false

No destructive side effects.

idempotentHint

true

Repeating a call has no additional effect.

openWorldHint

true

Tools reach an external system (the upstream data APIs).

A host may therefore treat all calls as safe, cacheable reads. The values are declared once as READ_ONLY in server.py and applied to all 10 tools.

MCP Primitives

This server uses all three MCP primitives, each for what it is best at:

Tools (10) β€” live, parameterised actions that call the IDD API (above).

Resources β€” static, read-only reference data a host can fetch and cache, no arguments or upstream call needed:

Resource URI

Description

bag://reference/cantons

Canton codes accepted by the tools (incl. FL, all)

bag://reference/disease-categories

Disease-topic taxonomy by category

bag://reference/data-licence

Source, attribution and licence terms

Prompts β€” reusable, parameterised workflows a host can surface (e.g. as slash-commands):

Prompt

Arguments

Purpose

canton_situation_brief

canton

Draft a Schulamt public-health situation brief

outbreak_check

disease, canton

Check whether a disease is currently elevated

Live surveillance data stays behind Tools (it is parameterised and changes weekly); fixed reference data is exposed as Resources; recommended multi-tool workflows are packaged as Prompts.


Relevance for Schools & City Administration

Schulamt / KreisschulbehΓΆrden:

  • Monitor influenza and ARI incidence in your canton

  • Single measles case β†’ alert for schools with low vaccination coverage

  • Pertussis tracking β†’ protect unvaccinated infants (siblings of school children)

Stadtverwaltung / KI-Fachgruppe:

  • Public Health Reporting with structured weekly data

  • Wastewater surveillance as 1-week lead indicator before clinical cases

Synergy with portfolio:

  • bag-epl-mcp β†’ "What treatments are listed?" (EPL medication database)

  • bag-health-mcp β†’ "What is currently spreading?" (surveillance data)


Data Source

  • IDD API: https://api.idd.bag.admin.ch β€” No authentication required

  • Update cycle: Every Wednesday

  • Coverage: Switzerland + Liechtenstein (FL), 26 cantons

  • Topics: 51 pathogens, 1386 data series

Datenquellen & Lizenzen / Data sources & licences

Source

Provider

Licence

Attribution required

Infectious Disease Dashboard (IDD)

Federal Office of Public Health (FOPH / BAG)

opendata.swiss Open Government Data β€” free use, source attribution required (Swiss OGD terms, CC BY-equivalent)

Yes

Health indicators

Obsan β€” Swiss Health Observatory (ind.obsan.admin.ch)

No explicit machine-readable licence; treat as Swiss OGD practice β€” free use, cite the per-indicator source

Yes

Health-care supply atlas

Versorgungsatlas (BAG/Obsan, versorgungsatlas.ch)

Same (Swiss OGD practice, cite source)

Yes

HBSC youth survey

Sucht Schweiz β€” HBSC, obtained via the Obsan mirror

Same (Swiss OGD practice, cite Β«Sucht Schweiz β€” HBSCΒ»)

Yes

Required citation: Federal Office of Public Health FOPH β€” Infectious Disease Dashboard (IDD), open data via opendata.swiss. For the indicator tools, each response's provenance.source names the concrete upstream (e.g. Β«Sucht Schweiz β€” HBSCΒ» via Obsan). Every tool response carries attribution in a provenance block (attribution + license fields) so downstream consumers can surface it automatically.

Architecture:
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    api.idd.bag.admin.ch (IDD API, no auth)
  MCP Host          β”‚  bag-health-mcp │──▢ ind.obsan.admin.ch   (Obsan JSON API)
  (Claude, etc.) ──▢│  MCP SDK        │──▢ versorgungsatlas.ch  (indicator catalogue)
                    β”‚  10 Tools       β”‚    all HTTPS, egress allow-listed, no auth
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Installation

Claude Desktop (stdio)

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

Cloud / HTTP

pip install bag-health-mcp
python -m bag_health_mcp.server --http --port 8000

Transport, host and port are set via environment variables β€” MCP_TRANSPORT (http/stdio), MCP_HOST, MCP_PORT β€” which is the recommended way for deployments (the --http flag still works for local use). The server binds to 127.0.0.1 by default so a local HTTP server is not exposed to the network. Container/cloud deployments bind all interfaces by setting MCP_HOST=0.0.0.0 explicitly β€” the provided Dockerfile does this.

⚠️ Security: HTTP transport exposes the server on the network. Only bind beyond 127.0.0.1 in a network-isolated environment β€” never directly on a public/shared network. Binding to a non-localhost host logs a warning at startup. The default stdio transport has no network surface. See docs/security-posture.md.

HTTP auth (optional): set MCP_AUTH_TOKEN to require Authorization: Bearer <token> on every HTTP request (401 otherwise). Unset = no auth (fine for stdio/local). This gates who may invoke the server; for real user identity, front it with a gateway.

CORS (browser clients): set MCP_CORS_ORIGINS to a comma-separated origin allow-list to enable cross-origin browser access; the Mcp-Session-Id header is exposed so stateful sessions work. Empty = no cross-origin (never a wildcard).

Host allow-list (DNS rebinding): set MCP_ALLOWED_HOSTS to a comma-separated list of the names this server is reachable under, including the port, e.g. bag.example.ch:8000. Requests arriving under any other Host are rejected with 421; loopback stays allowed so container health checks keep working.

Unset on a non-localhost bind, the check is left off and a warning is logged β€” that is the gateway-fronted deployment, where the gateway validates Host. It is not guessed: on 0.0.0.0 the reachable name is unknowable here, and a wrong guess would reject the very deployment it is meant to protect.

This is independent of MCP_AUTH_TOKEN. The token says who is asking; this says under which name the server is addressed. A rebinding attack runs in a browser that already holds the token.

For running at scale (session affinity, resource limits, MCP gateway), see the deployment & scaling guide and the reference manifests in deploy/.

Logging: the server emits structured JSON logs (one object per line, with an RFC 5424 severity) to stderr β€” stdout is reserved for the stdio JSON-RPC transport. Set the level with MCP_LOG_LEVEL (default INFO).

Tracing (optional): install the telemetry extra and point the server at an OTLP collector to get OpenTelemetry spans per tool-call plus instrumented outbound HTTP:

pip install "bag-health-mcp[telemetry]"
export OTEL_EXPORTER_OTLP_ENDPOINT="http://otel-collector:4318"
# optional: OTEL_SERVICE_NAME=bag-health-mcp

Tracing is a no-op unless both the extra is installed and an OTEL_* endpoint is set. Spans carry only the tool name and (on error) the exception class β€” never tool arguments, cantons or surveillance data.


Available Disease Topics

Category

Topics

Respiratory

influenza, covid19, acute_respiratory_infection, respiratory_pathogens

Enteric

campylobacteriosis, salmonellosis, ehec, listeriosis, hepatitis_a/e

STI & Bloodborne

hiv, aids, syphilis, gonorrhea, hepatitis_b/c, chlamydiosis

Vaccine-preventable

measles, pertussis, rubella, tetanus, diphtheria, ipd, meningo

Vector-borne

lyme_borreliosis, tick-borne_encephalitis, dengue, malaria, zika

Wastewater

wastewater_viral_load, wastewater_sequencing


Demo

Demo: Claude queries BAG IDD via bag-health-mcp

Claude asking about the influenza situation in canton Zurich β€” single tool call, structured result, actionable German-language summary.


Safety & Limits

Aspect

Details

Access

Read-only β€” no write operations possible

Egress

Code-layer allow-list: the server only contacts three public data hosts (api.idd.bag.admin.ch, ind.obsan.admin.ch, www.versorgungsatlas.ch), HTTPS-only, enforced on every request incl. redirect hops (SSRF/SEC-004 + SEC-021). Network-layer companion policy in deploy/networkpolicy.yaml

Personal data

None β€” all sources are aggregated/anonymised (BAG IDD at canton level by law; indicators are population aggregates by age/sex/region)

Rate limits

No published IDD API rate limit; server caps responses at 104 data points per call by default (limit_weeks param)

Timeout

30 s per API call

Authentication

No API keys required β€” all data publicly accessible

Data licence

opendata.swiss OGD β€” free use, source attribution required (CC BY-equivalent). FOPH IDD must be cited; see Data sources & licences

Terms of Service

Subject to BAG IDD API ToS


Known Limitations

  • Beta API: IDD API is labelled v0.1 beta β€” schema may change without notice

  • Weekly cadence: Data is not real-time; updated Wednesdays only

  • Canton granularity: Some rare diseases have insufficient cases for canton-level data (suppressed for privacy)

  • Age groups: Available dimensions vary by disease series; use bag_health_mcp__get_series_details to check


Compliance

  • ISDS (Stadt ZΓΌrich): a draft information-security protection-needs classification (Schutzbedarfsanalyse per Grundwert + measures mapping) is in docs/isds-klassifikation.md. It is a technically-grounded draft pending ISBO/OIZ sign-off β€” not a binding classification.

  • Data classification (Schulamt): the data is classified Γ–FFENTLICH / BUI (public OGD, no personal data, aggregated at canton level with small cells suppressed at source). Draft scheme + aggregation-risk note in docs/datenklassifikation-schulamt.md; the aggregating bag_health_mcp__get_canton_situation tool surfaces this in its response.

  • Security posture: lethal-trifecta assessment (the server is strictly read-only β†’ not affected), secret-management decision (no secrets β€” public data), and network-exposure notes are in docs/security-posture.md.

  • Phase architecture: this is a Phase 1 (read-only) server; write/send capabilities are deferred behind documented prerequisites. See docs/roadmap.md.

  • Reporting vulnerabilities: see the security policy for how to report security issues privately.


Contributing

See CONTRIBUTING.md (Deutsch).

Security

See SECURITY.md (Deutsch) for the security posture and how to report a vulnerability confidentially.

License

Code: MIT (see LICENSE).

Data: BAG IDD is Open Government Data on opendata.swiss under free use with mandatory source attribution (Swiss OGD terms, CC BY-equivalent) β€” not public domain. Cite the Federal Office of Public Health FOPH (IDD) when reusing the data; see Data sources & licences.

Author

Hayal Oezkan Β· github.com/malkreide

Installation

Run via uv's uvx β€” no clone or manual install needed. Add to your MCP client config (mcpServers for Claude Desktop, Cursor and Windsurf; use a top-level servers key for VS Code in .vscode/mcp.json):

{
  "mcpServers": {
    "bag-health-mcp": {
      "command": "uvx",
      "args": [
        "bag-health-mcp"
      ]
    }
  }
}
Install Server
A
license - permissive license
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quality
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maintenance

Maintenance

–Maintainers
<1hResponse time
2moRelease cycle
3Releases (12mo)
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