Docs

Steve MCP documentation

Steve MCP is a Model Context Protocol server that gives your AI assistant live competitor data: news, reviews, website changes, social activity and ads, with a source url and date on every item. Set it up below, then use the method reference for what your assistant can call.

( The server )

  • Server namesteve-agent
  • Endpointhttps://app.hiresteve.ai/api/agent/mcp
  • TransportStreamable HTTP, stateless, JSON responses
  • AuthAuthorization: Bearer <access token>
  • ScopeOne person in one organization

( Setup, per assistant )

One pasted line in every client, your assistant sets everything up for you. No download, no call, no IT ticket. Pick yours:

Claudeopen
  1. 01Open Claude (web or desktop) and start a new conversation.
  2. 02
  3. 03Claude reads the file and configures the connection itself, approve when it asks.
  4. 04Say “run competitor pulse” to take the first playbook for a spin.
ChatGPTopen
  1. 01Open ChatGPT and start a new chat with an agent-capable model.
  2. 02
  3. 03Approve the connector when prompted. ChatGPT completes the setup.
  4. 04Say “run competitor pulse” to verify everything works.
Cursoropen
  1. 01Open Cursor's chat panel in any workspace.
  2. 02
  3. 03Cursor adds the connection to your workspace settings, accept the change.
  4. 04Say “run competitor pulse”, outputs land as files in your workspace.
Anything elseopen
  1. 01Any assistant that can connect to external data sources works the same way.
  2. 02
  3. 03If your client needs manual configuration, the server details above are everything it needs.
  4. 04Stuck on a specific client? Tell support, a real person answers.

( The methods )

Eighteen methods in eight groups. Everything is scoped to a project: call list_projects first, it maps the project name the user said to the id every other method needs. See all methods on one page, or jump to a group:

( Conventions )

  • ›Receipts. Every item a read method returns carries its source url and date. No receipt, no claim; the provenance policy covers where the data comes from.
  • ›Names, not ids. Responses carry ids for chaining calls, but they are never meant to be shown to the user.
  • ›Pagination. List methods take limit and cursor and return nextCursor and hasMore. Out-of-range limits are clamped, not rejected.
  • ›Next steps. Every successful response suggests what makes sense next as questions to ask the user, never calls to make unprompted.
  • ›Honest emptiness. Empty results say why (nothing tracked, source not granted, nothing collected yet) instead of returning a bare empty list. See errors and limits.

( The free playbooks )

Four installable skills, free forever, no account. Each works on a bare assistant and honestly labels what it can't see. Browse them in the skills library.

( Trial and billing )

  • ✓3 days free, everything included, ask something we couldn't have staged.
  • ✓Then a flat monthly price: $49 Starter, $99 Pro, $199 Team. No annual invoice.
  • ✓Cancel in one click.