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  1. Home
  2. ๐Ÿ“Š Monitoring
  3. Clamp Sh MCP
Clamp Sh MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 2:32:14 PM

Clamp Sh MCP

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
analyticsmonitoringeventsfunnelsalerts

Privacy-first AI-native web analytics MCP server for querying traffic, events, funnels, and alerts via conversational agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldnโ€™t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window โ€” this can mean a slow first-time install rather than a real problem.

npx -y @clamp-sh/mcp

No response to initialize.

This is an experimental automated check and can have false negatives โ€” missing environment variables, a slow cold install, etc. It doesnโ€™t necessarily mean somethingโ€™s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "clamp-sh-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@clamp-sh/mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (24) Directory Badge Claim listing Alternatives๐Ÿ“Š More in Monitoring

Overview

This MCP server provides AI agents live access to web analytics data including pageviews, visitors, events, revenue, errors, funnels, cohorts, and alerts. It enables querying and composing analytics tools conversationally without using traditional dashboards. Use it to integrate analytics queries into AI workflows, CI, headless agents, or self-hosted setups requiring programmatic access to Clamp Analytics data.

Use cases

โ€ขQuery traffic metrics and trends over time
โ€ขAnalyze top pages, referrers, and visitor countries
โ€ขCreate and evaluate conversion funnels
โ€ขSet alerts on key metrics like bounce rate
โ€ขInvestigate custom event counts and schemas

Key features

โ€ขPageviews, visitors, sessions, bounce rate, and duration metrics
โ€ขTime series and period comparison of core metrics
โ€ขBreakdown by dimensions like pathname, referrer, device, and UTM fields
โ€ขCustom event querying with property filtering and schema observation
โ€ขRevenue aggregation by currency, plan, product, and attribution model
โ€ขFunnel creation and metric alerting from conversational queries

Capabilities & Tool Schemas (24) ~884 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Clamp Sh MCP.

traffic.overview

Pageviews, visitors, sessions, bounce rate, avg duration. Period comparison included.

traffic.timeseries

Any core metric over time with automatic granularity (visitors, sessions, bounce rate, avg duration, or event counts).

traffic.compare

Compare any metric across two arbitrary periods. Returns absolute and percent delta.

traffic.live

Visitors active in the last N minutes plus their top pages, referrers, and countries.

breakdown

Group visitors and pageviews by any dimension: `pathname`, `referrer_host`, `country`, `city`, `region`, `device_type`, `browser`, `browser_version`, `os`, `os_version`, `entry_page`, `exit_page`, `channel`, or any UTM field.

pages.engagement

Per-page metrics with `view`: `summary`, `engagement` (adds engagement seconds and bounce rate), `sections` (per-section view counts for one pathname; needs the section-views SDK extension).

Documentation Overview

Clamp Analytics โ€” privacy-first product analytics with a built-in MCP server

npm version npm downloads types: TypeScript license

@clamp-sh/mcp

Analytics MCP server for Clamp Analytics. Gives Claude, Cursor, VS Code Copilot, Windsurf, Cline, and any other Model Context Protocol client live access to your traffic, pages, events, revenue, errors, funnels, cohorts, and alerts โ€” and the tools to create funnels and metric alerts from the conversation.

Using Cursor, VS Code, Claude Code, or Claude Desktop? Install the hosted Remote MCP from your Clamp dashboard in one click โ€” auth happens automatically, no API key to paste, no config files to edit. Open a project, go to the Installation tab, and pick your editor. This npm package is the stdio path for CI, headless agents, custom clients, and self-hosted Clamp instances.

What your agent can do

Once connected, your agent can answer questions like:

  • "How's traffic this week?"
  • "Why did pageviews drop on Tuesday?"
  • "Which referrers drove the most signups?"
  • "Compare US vs Germany conversion this month"
  • "Create a funnel from /pricing to signup to purchase"
  • "Alert me when bounce rate on /pricing goes above 70%"
  • "What did Hacker News visitors actually read?"
  • "Run the weekly report"

Each question maps to one or two MCP tool calls. The agent picks the right tool, runs the query, and returns the answer in chat โ€” no dashboard tab, no copy-paste.

Why an MCP server for analytics

A dashboard answers the questions you anticipated when you built it. An MCP server lets the agent answer the ones you didn't. Same data, different access pattern: the agent can compose tools, follow up on its own answers, and run the diagnostic queries you'd manually click through.

Tools are typed (outputSchema per MCP protocol 2025-06-18), so client-side validation works before any call lands. Per-tool descriptions name the use case and a representative example, so agents pick the right tool on the first try.

Setup

For one-click install in Cursor / VS Code / Claude Code / Claude Desktop, use the Clamp dashboard. For stdio (CI, headless agents, custom clients, self-hosted instances), pick your client below.

VS Code / Copilot

Add to .vscode/mcp.json in your project:

config.json
{
  "servers": {
    "clamp": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@clamp-sh/mcp"],
      "env": {
        "CLAMP_API_KEY": "sk_proj..."
      }
    }
  }
}

Claude Code

Terminal
claude mcp add clamp -- npx -y @clamp-sh/mcp
export CLAMP_API_KEY="sk_proj..."

Claude Desktop and Cursor

Both clients use the same shape โ€” drop this into claude_desktop_config.json or .cursor/mcp.json:

config.json
{
  "mcpServers": {
    "clamp": {
      "command": "npx",
      "args": ["-y", "@clamp-sh/mcp"],
      "env": {
        "CLAMP_API_KEY": "sk_proj..."
      }
    }
  }
}

API key

Get your API key from the Clamp dashboard under Settings โ†’ API Keys. Keys are scoped to a project and start with sk_proj.

Tools

Free (all plans)

ToolWhat it does
traffic.overviewPageviews, visitors, sessions, bounce rate, avg duration. Period comparison included.
traffic.timeseriesAny core metric over time with automatic granularity (visitors, sessions, bounce rate, avg duration, or event counts).
traffic.compareCompare any metric across two arbitrary periods. Returns absolute and percent delta.
traffic.liveVisitors active in the last N minutes plus their top pages, referrers, and countries.
breakdownGroup visitors and pageviews by any dimension: pathname, referrer_host, country, city, region, device_type, browser, browser_version, os, os_version, entry_page, exit_page, channel, or any UTM field.
pages.engagementPer-page metrics with view: summary, engagement (adds engagement seconds and bounce rate), sections (per-section view counts for one pathname; needs the section-views SDK extension).
events.listCustom event counts with property filtering and grouping.
events.observed_schemaThe actual fired-event signature with per-property type observations. Diff against a local event-schema.yaml to surface schema drift.
events.property_valuesTop distinct string-typed values a property has taken on a specific event. Use to discover the value space before defining a cohort filter or running events.list with property=.
revenue.sumSum Money-typed event properties. Split by currency, group by any dimension, switch to first-touch via attribution_model. Drill-in filters: plan, product, first_touch_dim + first_touch_value.
revenue.summaryThe whole Revenue tab in one call: revenue per currency, customers, orders, AOV, LTV, MRR (running balance) + ARR, per-plan rollup (where mrr_contribution is the cumulative MRR balance per plan, not the in-period delta), per-product rollup, prior-period comparison, and mode flags (is_subscription, has_one_time) so callers can render conditionally.
revenue.retentionCohort revenue retention on MRR-on-MRR math. Per window: mature_size, retained, retention_rate, mrr_at_d, baseline_mrr_mature, nrr (net revenue retention; >1.0 = net expansion). Anchored at the customer's first subscription_started.
revenue.timeseriesPlot one revenue metric per bucket. metric accepts revenue (Money sum), mrr (running balance, picks up from prior period), customers (distinct paying), or transactions (event count).
sessions.pathsAggregate session paths: top entry โ†’ exit pairs with pages per session and duration.
users.journeyChronological session-and-event reconstruction for one anonymous ID.
cohorts.create / cohorts.list / cohorts.retention / cohorts.compare / cohorts.deleteDefine cohorts by event + period + filter; query retention curves; compare 2โ€“10 cohorts side-by-side on the same retention windows; delete a saved cohort by name (definitions are immutable, so delete + re-create is the rename/restructure flow).
errors.list / errors.groups / errors.timeline / errors.contextRecent errors, fingerprint-grouped errors with affected-user counts, error rate over time, and breadcrumbs leading to a single error.
projects.listList all projects this credential can access.
docs.searchKeyword-search the Clamp docs index.

Pro

ToolWhat it does
funnels.createDefine and immediately evaluate a multi-step conversion funnel. Steps accept property predicates: cta_click[location=hero][plan=pro]. Names must be unique within a project โ€” a duplicate-name call returns 409.
funnels.listList funnels or fetch one with cohort filters (country, channel, device, UTM).
funnels.deleteDelete a saved funnel by name (definitions are immutable, so delete + re-create is the rename/restructure flow).
alerts.createSet up metric alerts (e.g. "visitors drops_by 30% over 7d").
alerts.list / alerts.deleteList and remove alerts.

Common parameters

period โ€” "today", "yesterday", "7d", "30d", "90d", or a custom range as "YYYY-MM-DD:YYYY-MM-DD". Defaults to "30d".

limit โ€” Max rows returned, 1-50. Defaults to 10.

Filters โ€” Most tools accept pathname, referrer_host, channel, country, region, city, device_type, browser, browser_version, os, os_version, and the full UTM set (utm_source, utm_medium, utm_campaign, utm_content, utm_term). Funnels accept the same cohort filters.

dimension (breakdown only) โ€” see the breakdown row above for valid values.

view (pages.engagement only) โ€” "summary" (default), "engagement", or "sections". "sections" requires pathname.

Revenue filters (revenue.sum, revenue.timeseries) โ€” plan and product filter to one subscription tier or one-time product. first_touch_dim (one of channel, referrer_host, utm_campaign, utm_source, utm_medium, country) + first_touch_value filter to customers whose earliest session matched that dim. attribution_model="first_touch" on revenue.sum groups by first-touch dim instead of conversion-time dim.

Revenue metric (revenue.timeseries only) โ€” "revenue" (default), "mrr" (running balance), "customers", or "transactions".

Prompts

Pre-built analytics workflows the AI can follow. Each prompt tells the model which tools to call, in what order, and how to present the results.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
2
Stargazers on the source repository.
npm downloads
284
Package downloads in the last 30 days.
Last commit
2mo ago
Most recent push to the default branch.
Install check
Inconclusive
Didn't respond in our test window โ€” often a slow first install.
Tools exposed
24
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Clamp Sh MCP

You must provide a Clamp API key scoped to your project via the CLAMP_API_KEY environment variable.

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Technical Specs & Signals

Category๐Ÿ“ŠMonitoring
PricingFreemium
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedAug 9, 2026
10/10 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 7, 2026
npm downloads284/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
57Quality signal: Good ยท 57/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity6/15
Community engagement0/10

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