For agents

Give your agent the answers behind the dashboard.

Connect Claude Code, Cursor, or any MCP client. Your agent can read the answers, open the cited pages, and pick up the next task without you copying data around.

Start 7-day free trial Read the API docs

1 line

to connect from Claude Code

8 tools

metrics, answers, sources, actions

Read-only

your agent can't break anything

Verbatim

every stored answer and cited URL

Connect

Connect it in one line.

Create a key in Settings and paste the command. Other MCP clients can use the JSON config.

Claude Code

claude mcp add --transport http recometrix https://recometrix.com/api/mcp --header "Authorization: Bearer rmx_YOUR_KEY"

JSON for other MCP clients

{
  "mcpServers": {
    "recometrix": {
      "url": "https://recometrix.com/api/mcp",
      "headers": { "Authorization": "Bearer rmx_YOUR_KEY" }
    }
  }
}

Ask what needs fixing

get_actions returns a page or source, the change to make, and how to know it's done.

Let the agent do the work

The saved answers and cited URLs are one tool call away, so the agent can edit the right page or draft the outreach in your repo.

Check the same questions later

Each task keeps the questions it came from. A later audit shows whether those answers changed.

Agent Skills

Give the agent a tested workflow.

Install a task-specific skill so the agent reads the right evidence before it reviews or changes anything.

review-recometrix-audit

Review an audit

Checks the methodology, prompt answers, sources, and proposed tasks before naming what deserves attention.

Read SKILL.md

implement-recometrix-action

Implement one task

Carries one selected task into the website repository while preserving its evidence, target, and completion check.

Read SKILL.md

The toolbox

What it can read.

The answers, sources, scores, tasks, and drafts from your workspace. The full schemas are in the API docs.

Browse the schemas

list_projects

List the brands/projects tracked in this Recometrix workspace, with their ids.

get_visibility_metrics

Latest AI-visibility metrics for a project (visibility score, mention rate, top-3 rate, stability, competitor share) plus a 12-run history.

get_prompt_results

Prompt-level answers from the latest completed audit: which AI tools mentioned the brand, at what rank, with which cited domains. Includes the verbatim answers.

get_sources

Ranked citation-source opportunities from the latest completed audit, including citation gaps and source type.

get_actions

Prioritized action recommendations for a project (what to fix first), each backed by stored answers.

get_referrals

AI referral events and crawler rollups for a project.

get_deliverables

Generated deliverables for a project, including grounded markdown drafts.

get_methodology

Methodology metadata for the latest completed deep audit, including provider, model, sample, and scoring caveats.

A few practical questions.

Which agents work with it?

Claude Code, Claude Desktop, Cursor, and any MCP client that can send an Authorization header. Everything the MCP server exposes is also on the REST API for scripts and CI.

What can my agent read?

Whatever the dashboard shows: visibility metrics, verbatim answers, citation sources, executable actions, AI referrals, generated drafts, and the methodology behind each audit. The server is read-only by design, so an agent can browse everything and break nothing.

Which plans include it?

API and MCP access is included on the Grow and Agency plans. Create a key in Settings; it is shown once and can be revoked any time.

Will this actually move my score?

An agent ships the same fixes a person would, just faster and without losing interest. The next audit re-measures the questions each fix targeted, so you see observed movement, never a promise.