ZBS Index What actually exists in applied AI, with the source next to it

mcp server

seo-mcp

Six tools for SEO and AI-readability audits. 91 checks, 11 score modules.

Description as published by the maintainer. Source

  • version 0.1.1
  • slowing

slowing — Most recent push to the repository was 2026-05-22.

What this server can do

6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_audit(audit_id)
Fetch a previously-run audit by id. Returns module scores (0-100), total score, all findings with severity, recommendation text, and links to the HTML report. Use this to poll a queued `run_audit` until `status: complete`. Requires an API key. Required: audit_id.
get_audit_pdf(audit_id)
Return a signed download URL for the branded PDF report for a given audit id. If no PDF has been rendered yet, queues a render and returns `status: queued` — poll the same tool again, or fetch the URL directly once ready. Requires an API key. Required: audit_id.
get_organic_traffic(audit_id)
If the user has linked GA4 + Google Search Console, return the 28-day organic traffic snapshot for an audit: session count, daily trend, top landing pages, top queries, and indexing health. Returns `connected: false` if Google is not linked. Cached 24h server-side. Requires an API key. Required: audit_id.
list_audits(limit)
List the user's audits (most recent first, deduplicated by URL). Returns `audit_id`, `url`, `status`, `total_score`, `created_at`. Default limit 24, max 100. Use the returned `audit_id` with `get_audit` for full findings. Requires an API key.
run_audit(url)
Queue a full SEO + AI-readability audit (includes Core Web Vitals from Google PSI and organic traffic if Google is linked). Returns the audit envelope immediately with `status: queued` and an `audit_id`. Poll `get_audit` with the returned `audit_id` until `status` becomes `complete` (typical 10-30s). Counts against the user's plan allowance. Requires an API key as a Bearer token. Quota and per-domain cooldowns mirror the dashboard. Required: url.
run_audit_anonymous(url)
Run a one-shot SEO + AI-readability audit on any public URL. Returns scores across 11 modules and ~90 checks, plus actionable findings with rule docs. Limited to 1 audit per IP per 24 hours — for higher volume, get an API key at https://app.metricspot.com/settings/api-keys and use `run_audit`. Synchronous: blocks until the audit completes. Does NOT include Core Web Vitals (use `run_audit` for full PSI scoring). No auth required. Required: url.

Last successful function declaration observed on . Source: https://mcp.metricspot.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.metricspot.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-05-22 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 1 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Package downloads 50 downloads Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. 2026-07-30 to 2026-08-05 npm
Latest published version 0.1.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-14 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-05-14 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 6 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.metricspot.com
mcp endpoint status ok The server listed 6 functions when asked. as of probe mcp.metricspot.com

Where to get it

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These share tags the maintainers applied themselves, such as bun. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-agents, anthropic, bun, claude, mcp, metricspot, model-context-protocol, seo, typescript.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. MetricSpot/mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. @metricspot/mcp-server download counts — npm, observed , trust tier 3.
  3. Tools declared by the MCP server at https://mcp.metricspot.com/mcp — mcp.metricspot.com, observed , trust tier 1.
  4. Official MCP Registry — Model Context Protocol, observed , trust tier 1.