// SignalDig MCP

Connect SignalDig MCP servers to your AI agent

SignalDig MCP gives a compatible AI client authenticated access to focused data and decision tools. It is the capability layer beneath Agent Skills—not a public dashboard and not a replacement for the workflow.

// Endpoints

Choose the server that matches the task

The three product surfaces stay separate so a client can expose only the tools a workflow needs.

01

SEO Data

https://mcp.signaldig.com/data/seo/mcp

Keyword overview and intent, related keywords, current SERP observations and Google Trends evidence.

02

Social Data

https://mcp.signaldig.com/data/social/mcp

Platform-native public social retrieval with source context and coverage limitations.

03

SEO Decisions

https://mcp.signaldig.com/signals/seo/mcp

Evidence-constrained keyword and content-opportunity reports with conditions, risks and a next test.

// Client configuration

Send the API key as a Bearer credential

Add only the servers you need to your compatible client's MCP configuration. Field names can vary by client; follow that client's documentation for the exact config file location.

mcp.json
{
  "mcpServers": {
    "signaldig-seo": {
      "type": "http",
      "url": "https://mcp.signaldig.com/data/seo/mcp",
      "headers": {
        "Authorization": "Bearer {SIGNALDIG_API_KEY}"
      }
    },
    "signaldig-social": {
      "type": "http",
      "url": "https://mcp.signaldig.com/data/social/mcp",
      "headers": {
        "Authorization": "Bearer {SIGNALDIG_API_KEY}"
      }
    },
    "signaldig-seo-decisions": {
      "type": "http",
      "url": "https://mcp.signaldig.com/signals/seo/mcp",
      "headers": {
        "Authorization": "Bearer {SIGNALDIG_API_KEY}"
      }
    }
  }
}

Replace locally. Never put a real key in a prompt, repository, screenshot or shared log. SignalDig MCP does not accept an API key in the URL query string.

// Connect

A four-step setup path

  1. 01

    Create an API key

    Sign in to SignalDig, create a named API key and save the one-time plaintext value securely.

  2. 02

    Configure one or more servers

    Use the production HTTPS endpoint and the Authorization: Bearer header shown above.

  3. 03

    Reload the client

    Restart or reload the AI client, then confirm it can list the expected tools before running research.

  4. 04

    Request the smallest useful scope

    Use the matching Skill or name a focused task so the agent does not collect unrelated data.

// Current limits

What the connection does—and does not—guarantee

Authentication is required

Missing, expired or revoked API keys are rejected. Keep keys out of browser-readable storage and revoke a key if it may be exposed.

Some work is asynchronous

SEO research and decision reports can return a request ID for polling. Clients should reuse that request and a stable idempotency key instead of submitting duplicates.

Coverage has boundaries

Results depend on the requested market, language, time and available provider coverage. Partial results and missing evidence must remain visible.

No outcome is guaranteed

Market observations and decision support do not guarantee rankings, revenue, reach or product-market fit.

// Why pair MCP with Skills

MCP provides capabilities. Skills show the agent how to use them correctly.

An agent can call MCP tools directly, but a matching Skill reduces guesswork in tool selection and result interpretation. Skills act as an operating handbook for the agent, so the user does not need to learn interface details first.

01

Select the right tools

Each Skill maps to a defined task and guides the agent to the matching MCP server and tools instead of exploring combinations at random.

02

Avoid unnecessary calls

A defined research order, scope rules and request reuse keep collection limited to what the current task needs.

03

Preserve field meaning

Skills require results to retain metric semantics, sources, timing and coverage limits instead of presenting raw numbers without context.

04

Constrain decision output

The workflows separate retrieval from opportunity decisions and preserve evidence, counter-evidence, risks and a next validation step.

Explore Agent Skills