Plausible Analytics MCP
PYPI · PLAUSIBLE-MCP
Plausible Analytics MCP: privacy-first website stats, real-time visitors, breakdowns, and trends.
Available components
Last scanned (3 hours ago)
Scores higher than 67% of PyPI servers
Category Data and Analytics
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 28 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 7 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 865 tokens (~108/item across 8 items; 8 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +16
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 −14
- Malware scan: pass → unverified ▼ security
- 29 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: unverified → 0.03 ▲ functional
- 28 Oct 26 52
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed pypi/plausible-mcp@0.1.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 28 packages
| Packages resolved | 28 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_for_updates ~24
Check PyPI for newer versions of plausible-mcp and get upgrade instructions.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
doctor ~63
Test connectivity to Plausible Cloud or self-hosted instance (PLAUSIBLE_BASE_URL) and validate API token. Args: token: Optional Plausible API token to test. If omitted, tests PLAUSIBLE_API_KEY from environment.
| Name | Type | Req | Description |
|---|---|---|---|
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_aggregate_stats ~197
Get aggregate website performance totals: visitors, pageviews, bounce_rate, and visit_duration. Args: site_id: Domain name of the site in Plausible (e.g. 'surendranb.com', 'freeinference.dev'). date_range: Time period ('day', 'today', 'yesterday', '7d', '30d', 'month', '6mo', '12mo', or 'YYYY-MM-DD,YYYY-MM-DD'). Default '30d'. metrics: Optional list of metrics (e.g. ['visitors', 'pageviews', 'bounce_rate', 'visit_duration', 'visits']). Defaults to standard 4 metrics. token: Optional Plausible API token. If omitted, uses PLAUSIBLE_API_KEY environment variable.
| Name | Type | Req | Description |
|---|---|---|---|
| date_range | string | – | – |
| metrics | – | – | – |
| site_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_breakdown ~237
Get metrics breakdown by dimension: pages, sources, countries, browsers, operating systems, or devices. Args: site_id: Domain name of the site in Plausible (e.g. 'surendranb.com'). property_name: Dimension to segment by. Accepts aliases: 'page', 'source', 'country', 'browser', 'os', 'device', 'entry_page', 'exit_page', 'city', 'region', or full Plausible names like 'event:page', 'visit:source'. date_range: Time period ('day', '7d', '30d', 'month', '6mo', '12mo', or 'YYYY-MM-DD,YYYY-MM-DD'). Default '30d'. limit: Maximum number of rows to return (default 20, max 100). token: Optional Plausible API token. If omitted, uses PLAUSIBLE_API_KEY environment variable.
| Name | Type | Req | Description |
|---|---|---|---|
| date_range | string | – | – |
| limit | integer | – | – |
| property_name | string | – | – |
| site_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_realtime_visitors ~88
Get the current count of active real-time visitors on the website right now. Args: site_id: Domain name of the site in Plausible (e.g. 'surendranb.com'). token: Optional Plausible API token. If omitted, uses PLAUSIBLE_API_KEY environment variable.
| Name | Type | Req | Description |
|---|---|---|---|
| site_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_timeseries ~172
Get historical timeseries trendlines (visitors, pageviews) over time for plotting charts. Args: site_id: Domain name of the site in Plausible (e.g. 'surendranb.com'). date_range: Time period ('day', '7d', '30d', 'month', '6mo', '12mo', or 'YYYY-MM-DD,YYYY-MM-DD'). Default '30d'. interval: Aggregation bucket: 'date' (daily) or 'month' (monthly). Default 'date'. token: Optional Plausible API token. If omitted, uses PLAUSIBLE_API_KEY environment variable.
| Name | Type | Req | Description |
|---|---|---|---|
| date_range | string | – | – |
| interval | string | – | – |
| site_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
skill_read ~64
Fetch guidance and analytical playbooks for Plausible Analytics by name. Args: name: Name of skill to read (e.g. 'plausible-overview', 'analytics-recipes'). Call skills_list() to view all.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
skills_list ~20
List available Plausible Analytics operational skills and playbooks.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the Plausible Analytics MCP server?
Plausible Analytics MCP runs locally as a PyPI package, launched with uvx plausible-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · plausible-mcp
claude mcp add surendranb-plausible-mcp -- uvx plausible-mcp
What is the Plausible Analytics MCP server?
Plausible Analytics MCP is listed in the public MCP registry as io.github.surendranb/plausible-mcp. Plausible Analytics MCP: privacy-first website stats, real-time visitors, breakdowns, and trends. This page covers its PyPI package (plausible-mcp).
Is the Plausible Analytics MCP server safe to use?
Plausible Analytics MCP scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Plausible Analytics MCP server expose?
Plausible Analytics MCP exposes 8 tools: get_aggregate_stats, get_breakdown, get_realtime_visitors, get_timeseries, doctor, and 3 more. Their descriptions and schemas cost roughly 865 tokens of context every time the server is loaded.
Is the Plausible Analytics MCP server still maintained?
Plausible Analytics MCP is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Plausible Analytics MCP server under?
Plausible Analytics MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.