World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Lobbywatch.ch transparency data on parliamentarians, interests, access badges
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Passed 3/3 checks · Runs on your computer
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Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
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Use Lobbywatch MCP and tell me what you can do for me, then show me one thing✓ If Claude says it is using Lobbywatch MCP or shows a Lobbywatch MCP tool in the answer, you are connected
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ChatGPT cannot connect Lobbywatch MCP yet
Lobbywatch MCP runs on your computer, but ChatGPT can only connect servers that run on the web
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Works with Claude Code, with some setup first
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One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
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You should see Lobbywatch MCP listed as connected
Use Lobbywatch MCP and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Lobbywatch MCP or shows a Lobbywatch MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
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Use Lobbywatch MCP and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Lobbywatch MCP or shows a Lobbywatch MCP tool in the answer, you are connected
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Works with VS Code, with some setup first
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One time only; it works for every server that needs Python (uv)
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Use Lobbywatch MCP and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Lobbywatch MCP or shows a Lobbywatch MCP tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
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Claude Desktop (claude_desktop_config.json)
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Cursor (~/.cursor/mcp.json)
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VS Code (mcp.json)
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: lobbywatch-mcpBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
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ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 13, 2026
The registry name was verified with the GitHub account malkreide, which owns the repo
Code last changed 12 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed 12 days ago, and the latest version (0.3.8) reached the registry 30 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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An MCP server that connects AI models to Lobbywatch.ch, the largest lobby database of the Swiss Federal Parliament — conflicts of interest, lobby groups, access badges, and transparency scores.
Part of the [Swiss Public Data MCP Portfolio](https://github.com/malkreide) — connecting AI models to Swiss public data sources.
*"Welche Mitglieder der WBK-N haben Interessenbindungen zu Bildungsverlagen oder privaten Bildungsträgern, und wie ist ihre Transparenz-Bewertung?"*
Which members of the National Council's Education Commission have declared conflicts of interest with educational publishers or private education providers, and how does their compensation transparency score compare?
→ More use cases by audience →
Lobbywatch.ch maintains the largest public database on Swiss federal parliamentarians and their connections to lobby organisations: 245 parliamentarians, ~7'800 interessenbindungen (declared mandates), 139 lobby groups, 368 access-badge holders, updated weekly, licensed CC BY-SA 4.0.
lobbywatch-mcp exposes this data to Large Language Models via the Model Context Protocol. It is designed to be used alongside parlament-mcp (the official Swiss Parliament's Curia Vista data): the pair makes it possible to ask *what* a parliamentarian did officially and *who* they are connected to — in a single conversation.
dataIF REST API is used only where it returns reliable data (lobby groups, search).stale block with its download time, age and the reason the refresh failed. The source is retried every 15 minutes; lobbywatch_refresh_dump never falls back.stdio for Claude Desktop, streamable-http / sse for cloud deployments. ┌─────────────────────────────┐
LLM client │ LobbywatchClient │ (Claude Desktop, │ │ Inspector, …) │ ┌───────────────────┐ │ │ │ │ Dump cache │ │ cms.lobbywatch.ch │ MCP │ │ (24 h TTL, │ │ ┌──────────────────┐ ▼ stdio / │ │ ~80 MB resident)├─────┼─────►│ weekly JSON │ ┌─────────┐ HTTP │ └───────────────────┘ │ │ export (~17 MB) │ │ FastMCP │◄────►│ │ └──────────────────┘ │ server │ │ ┌───────────────────┐ │ ┌──────────────────┐ └─────────┘ │ │ dataIF REST ├─────┼─────►│ /interface/v1/ │ │ │ (live fallback) │ │ │ json/… │ │ └───────────────────┘ │ └──────────────────┘ └─────────────────────────────┘
Outbound HTTP runs through a single httpx.AsyncClient with follow_redirects=False, an SSRF guard that blocks RFC1918 / link-local / metadata IPs, and an httpx event hook that re-resolves on every request. The dump path is the primary source of truth for parliamentarian queries; dataIF is only used for lobby group lookups and the search endpoint.
From PyPI (after first release):
pip install lobbywatch-mcp
From source:
git clone https://github.com/malkreide/lobbywatch-mcp.git
cd lobbywatch-mcp pip install -e ".[dev]"
lobbywatch-mcp
This starts the server in stdio mode. For HTTP:
LOBBYWATCH_MCP_TRANSPORT=http LOBBYWATCH_MCP_PORT=8000 lobbywatch-mcp
A hardened multi-stage Dockerfile ships with the repo (non-root, read-only-rootfs compatible). See docs/deployment.md and deploy/docker-compose.example.yml for resource limits, sticky-LB guidance and egress hardening.
docker build -t lobbywatch-mcp:0.2.0 .
docker run --rm -p 127.0.0.1:8000:8000 lobbywatch-mcp:0.2.0
Add to your claude_desktop_config.json:
{
"mcpServers": { "lobbywatch": { "command": "uvx", "args": ["lobbywatch-mcp"] } } }
A full example is provided in claude_desktop_config.json.
Once connected, try prompts such as:
All tool names use the lobbywatch_ namespace prefix (since 0.2.0) to avoid collisions with sibling portfolio servers.
| Tool | Purpose | Source |
|---|---|---|
lobbywatch_get_parlamentarier(name_or_id) | Full profile + all conflicts of interest | Dump |
lobbywatch_list_interessenbindungen(name_or_id, nur_hauptberuflich, nur_aktiv) | Filtered mandate list | Dump |
lobbywatch_search_parlamentarier_nach_branche(branche_query, kommission, limit) | Cross-filter by industry and commission | Dump |
lobbywatch_get_lobbygruppe(name_or_id) | Lobby group with connected MPs and organisations | Live dataIF |
lobbywatch_get_ranking(kriterium, kommission, partei, limit) | Top-N by criterion | Dump |
lobbywatch_get_transparenzquote(kommission) | Distribution of compensation transparency labels | Dump |
lobbywatch_refresh_dump() / lobbywatch_dump_status() | Cache control | Dump |
All behaviour is controlled via environment variables:
| Variable | Default | Purpose |
|---|---|---|
LOBBYWATCH_MCP_TRANSPORT | stdio | Transport (stdio, http, sse) |
LOBBYWATCH_MCP_HOST | 127.0.0.1 | HTTP bind host (set to 0.0.0.0 only behind an auth gateway) |
LOBBYWATCH_MCP_PORT | 8000 | HTTP bind port |
LOBBYWATCH_MCP_CACHE_DIR | ~/.cache/lobbywatch-mcp | Dump cache location |
LOBBYWATCH_MCP_CACHE_TTL | 86400 (24h) | Cache time-to-live in seconds |
LOBBYWATCH_MCP_STALE_MAX_AGE | 604800 (7 days) | Oldest cached dump that may answer when the refresh fails, in seconds; 0 disables the fallback |
LOBBYWATCH_MCP_HTTP_TIMEOUT | 60 | HTTP timeout in seconds |
LOBBYWATCH_MCP_CORS_ORIGINS | _(unset)_ | Comma-separated origin allow-list for HTTP/SSE; when set, exposes Mcp-Session-Id to browsers |
LOBBYWATCH_MCP_LOG_FORMAT | text | text (stdlib formatter) or json (structured via structlog) |
LOBBYWATCH_MCP_LOG_LEVEL | INFO | DEBUG / INFO / WARNING / ERROR |
LOBBYWATCH_MCP_OTEL_ENABLED | 0 | Set to 1 to enable OpenTelemetry tracing (requires pip install 'lobbywatch-mcp[obs]') |
LOBBYWATCH_MCP_OTEL_ENDPOINT | _(unset)_ | OTLP/HTTP collector endpoint (e.g. http://localhost:4318/v1/traces) |
lobbywatch-mcp/
├── src/lobbywatch_mcp/ │ ├── init.py │ ├── main.py # CLI + transport selection │ ├── config.py # URLs, cache paths, attribution │ ├── client.py # Dump download + dataIF client │ ├── models.py # Pydantic v2 response envelopes │ └── server.py # FastMCP tool registrations ├── tests/ │ ├── conftest.py # Fixture parliamentarians │ ├── test_client.py # Respx-mocked unit tests │ ├── test_server.py # Tool integration tests │ └── test_live.py # @pytest.mark.live — excluded from CI ├── .github/workflows/ │ ├── ci.yml # Test matrix + ruff │ └── publish.yml # PyPI OIDC Trusted Publisher ├── claude_desktop_config.json ├── pyproject.toml └── ...
The code is released under the MIT License.
The data served through this MCP is © Lobbywatch.ch and licensed under CC BY-SA 4.0. Every response envelope includes the attribution string. Downstream users must:
/table/parlamentarier/... dataIF REST endpoint currently returns empty result sets. The server works around this by using the weekly JSON dump instead.zutrittsberechtigungen (access badges) are not populated in the "essential" dump variant used here. A future release will add a dedicated tool using the non-essential dump.See CONTRIBUTING.md.
See SECURITY.md for the security posture, accepted-risk decisions, and how to report a vulnerability.
This server speaks two protocol eras over the same endpoint. The client's first request on a connection decides which one applies; a later claim from the other era is refused.
| Era | Revision | Who reaches it |
|---|---|---|
initialize handshake | 2024-11-05 … `2025-11-25` | What today's clients speak. The server answers with the revision asked for, or with the 2025-11-25 ceiling when the request asks for something newer. |
| Per-request envelope | `2026-07-28` | A request carrying the 2026-07-28 _meta envelope opens a modern connection. |
Both revisions are pinned in tests/test_protocol_version.py and asserted against the installed SDK, so a Dependabot bump of mcp cannot move either one silently. The constants alone are the weaker form, so tests/test_spec_2026_07_28.py measures both eras through the assembled ASGI app: server/discover without a session, an initialize asking for a future revision capped at 2025-11-25, and every tool called over a 2026-07-28 connection with SDK deprecations raised as errors.
Native to `2026-07-28`. lobbywatch_refresh_dump reports its progress as notifications/progress, which both eras deliver to any client that sends a progressToken. It used to log via `notifications/message