Microsoft Clarity MCP
PYPI · MICROSOFT-CLARITY-MCP
Microsoft Clarity MCP: behavioral UX analytics, rage clicks, dead clicks, scroll, and JS errors.
Available components
Last scanned (20 hours ago)
Scores higher than 56% 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 Security50
- Malware scan not yet available for this package.Unverified
- 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 32 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 6 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 560 tokens (~80/item across 7 items; 7 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 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
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 1 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 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 4 Nov 2026 · Analysed pypi/microsoft-clarity-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 32 packages
| Packages resolved | 32 |
|---|---|
| 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 ~27
Check PyPI for newer versions of microsoft-clarity-mcp and get upgrade instructions.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
doctor ~38
Validate Microsoft Clarity credentials, project configurations, on-disk cache, and remaining daily request quota.
| Name | Type | Req | Description |
|---|---|---|---|
| project_id | – | – | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_frustration_breakdown ~149
Break down user frustration metrics (rage clicks, dead clicks, quick backs) across a specific dimension. Args: project_id: Microsoft Clarity Project ID. dimension: Breakdown dimension: 'URL', 'Device', 'Browser', 'OS', or 'Country/Region'. Defaults to 'URL'. num_of_days: Lookback window in days (1, 2, or 3; defaults to 3). token: Optional Clarity API token. Returns: Structured JSON ranking dimension values by user frustration severity.
| Name | Type | Req | Description |
|---|---|---|---|
| dimension | string | – | – |
| num_of_days | integer | – | – |
| project_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_js_errors ~110
Analyze JavaScript errors and unhandled exceptions across browsers and operating systems. Args: project_id: Microsoft Clarity Project ID. num_of_days: Lookback window in days (1, 2, or 3; defaults to 3). token: Optional Clarity API token. Returns: Structured JSON breakdown of JavaScript script errors and error clicks by Browser and OS.
| Name | Type | Req | Description |
|---|---|---|---|
| num_of_days | integer | – | – |
| project_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_ux_insights ~150
Retrieve high-level UX insights, frustration rates, and technical health for a Clarity project. Args: project_id: Microsoft Clarity Project ID (e.g., 'yz5idaioq2'). num_of_days: Lookback window in days (1, 2, or 3 days; defaults to 3). token: Optional Clarity API token. If omitted, uses CLARITY_API_TOKEN environment variable. Returns: Structured JSON summary of session overview, rage clicks, dead clicks, quick backs, excessive scrolling, JS errors, and quota status.
| Name | Type | Req | Description |
|---|---|---|---|
| num_of_days | integer | – | – |
| project_id | string | yes | – |
| token | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
skill_read ~63
Load a dynamic skill playbook by name from GitHub (with local fallback). Args: name: Skill name (e.g., 'ux-triage', 'setup-clarity-token', 'frustration-audit').
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
skills_list ~23
List available dynamic skill playbooks bundled with microsoft-clarity-mcp.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the Microsoft Clarity MCP server?
Microsoft Clarity MCP runs locally as a PyPI package, launched with uvx microsoft-clarity-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 · microsoft-clarity-mcp
claude mcp add surendranb-microsoft-clarity-mcp -- uvx microsoft-clarity-mcp
What is the Microsoft Clarity MCP server?
Microsoft Clarity MCP is listed in the public MCP registry as io.github.surendranb/microsoft-clarity-mcp. Microsoft Clarity MCP: behavioral UX analytics, rage clicks, dead clicks, scroll, and JS errors. This page covers its PyPI package (microsoft-clarity-mcp).
Is the Microsoft Clarity MCP server safe to use?
Microsoft Clarity MCP scores 52 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 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 Microsoft Clarity MCP server expose?
Microsoft Clarity MCP exposes 7 tools: get_ux_insights, get_frustration_breakdown, get_js_errors, doctor, skills_list, and 2 more. Their descriptions and schemas cost roughly 560 tokens of context every time the server is loaded.
Is the Microsoft Clarity MCP server still maintained?
Microsoft Clarity MCP is still listed as active in the MCP registry. We last reached this channel on 4 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 Microsoft Clarity MCP server under?
Microsoft Clarity 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.