MCP Integration

Expose Share Of Model data to LLM agents via Model Context Protocol

Share Of Model exposes a read-only Model Context Protocol surface so LLM agents — Claude.ai, Claude Desktop, Claude Code, or any MCP-compatible client — can query your workspace data directly.

What is exposed

Three things reach your client through the single MCP endpoint:

• Tools — the endpoints tagged mcp in the API Reference, from both the Core API and the Search API, plus get_current_user for personalised answers. They are read-only by design: agents can browse analyses, metrics, and brand catalogs, but cannot mutate state.
• Prompts — ten guided analysis workflows you invoke by name. See Prompts below.
• Skills — curated domain knowledge (metric glossaries, reporting playbooks, security and compliance) that the assistant loads on its own, so you don’t have to explain what a metric means before asking about it. The documentation search tools are also mounted, letting the assistant look things up in these docs while it works.

Server URL

https://mcp.shareofmodel.ai/mcp

Transport: Streamable HTTP.

Authentication

The server uses OAuth 2.0. You do not pass an API key or a JWT — on first connection, the client opens your browser, you sign in with your Share Of Model account (same credentials as the web app), and the client stores the resulting token. There is nothing to configure manually.

Connect from Claude Code

claude mcp add --transport http share-of-model https://mcp.shareofmodel.ai/mcp

The first time you invoke a tool, Claude Code opens your browser to complete the OAuth flow. Subsequent calls reuse the stored token.

Connect from Claude.ai or Claude Desktop

1. Open Settings → Connectors.
2. Scroll to the bottom and click Add custom connector.
3. Paste https://mcp.shareofmodel.ai/mcp and click Connect.
4. Sign in with your Share Of Model account in the browser window that opens.

The Share Of Model tools then appear in the tools panel of any new conversation.

Connect from MCP Inspector

npx @modelcontextprotocol/inspector

In the Inspector UI, choose Streamable HTTP as the transport, paste the server URL, then click Connect. You will be prompted to sign in on first use.

Prompts

Rather than composing a request yourself, you can invoke a pre-built workflow by name:

Prompt	What it produces
brand_visibility_brief	Executive brief on a brand’s AI visibility.
compare_brands	Head-to-head brand comparison.
weekly_brand_update	Week-over-week metrics summary.
competitive_landscape	Top brands in a category.
persona_breakdown	Performance by target persona.
attribute_deep_dive	Deep analysis of a single attribute.
search_visibility_scorecard	Search visibility scorecard.
visibility_gap_vs_competitor	Search query gaps versus a competitor.
asset_effectiveness_report	Creative asset evaluation summary.
geo_opportunities	Cross-module GEO recommendations.

How you trigger a prompt depends on the client — in Claude Desktop and Claude Code they appear in the prompt or slash-command picker once the connector is authenticated.

For the full walkthrough and example questions, see Get started with Share of Model MCP.