Connect

MCP — computed analytics, not search

Point Claude, ChatGPT, or Cursor at SerffSurf’s hosted MCP. We return computed percentiles, medians, and group aggregates across ~47 states — things a RAG document store cannot answer. Your access code unlocks server-side slices; never whole-file downloads.

Why SerffSurf MCP

Competitors ship semantic search over filings. We ship computed analytics: peer percentiles, state medians, group min/median/max LCM, expense component benchmarks, and deterministic briefings — derived from the same Postgres slice API that powers Site v2.

Endpoint

Streamable HTTP, plain JSON-RPC 2.0. POST only— one JSON response per request. Auth: Bearer token or ?key= (site cookie also works for browser clients on companion APIs).

POST https://serffsurf.com/api/mcp
Authorization: Bearer <your-access-code>
Content-Type: application/json

# or
POST https://serffsurf.com/api/mcp?key=<your-access-code>

Need a code? Request access. The same partner code that unlocks the site works here.

OAuth / DCR: discovery stub at /.well-known/oauth-protected-resource. Full OAuth is not implemented yet — keep using bearer / ?key.

Claude (custom connector)

  1. Open Claude → Settings → Connectors (or Custom connectors).
  2. Add a remote MCP server with URL: https://serffsurf.com/api/mcp
  3. Set authentication to Bearer token and paste your SerffSurf access code (or append ?key=<code> to the URL).
  4. Enable the connector in a chat and ask one of the example questions below.

ChatGPT

  1. Create or open a Custom GPT / use Apps & Connectors where remote MCP is available.
  2. Point the MCP / action endpoint at https://serffsurf.com/api/mcp
  3. Configure Authorization: Bearer <your access code>.
  4. Confirm tools appear (market_summary, group_position, expense_components, …) then try an example question.

Cursor

  1. Open Cursor Settings → MCP (or edit ~/.cursor/mcp.json).
  2. Add a server entry with transport type streamable HTTP / url pointing at the endpoint above.
  3. Include header Authorization: "Bearer <your access code>" (or use ?key=).
  4. Reload MCP servers and invoke a SerffSurf tool from Agent chat.

Example questions

No data is shown on this page — ask your connected client so results come through the gated tools.

  • What’s the median WC LCM in Georgia, and how does taken compare to indicated?

    Uses market_summary — computed median/quartiles + methodology + rate trend across filed carriers (~47 states), not document retrieval.

  • Where does the Travelers group sit vs peers — min, median, max LCM by state?

    Uses group_position — member roster plus per-state LCM min/median/max and best (lowest-LCM) entity.

  • What’s the median commission provision by state?

    Uses expense_components — one-call computed median/quartiles from filed expense provisions.

  • Where does Hartford sit on LCM in Illinois?

    Uses carrier_snapshot / carrier_position — computed peer percentiles + recent rate takes.

  • Show regulator objections mentioning tier in Michigan.

    Uses objections_search — structured objection letters with disposition and excerpts.

  • What are executives saying about workers’ comp right now?

    Uses industry_sentiment / market_voices — named-executive SEC quotes by LOB.

Tools

  • market_summary
    Computed median/quartile LCM + methodology + movers (not RAG; ~47 states)
  • carrier_snapshot
    Computed multi-state peer percentiles + latest rate change
  • carrier_position
    Computed percentile LCM rows + rate actions for one carrier
  • group_position
    NEW — group members + per-state LCM min/median/max + best entity
  • expense_components
    NEW — median expense provision by state (e.g. commission) in one call
  • territory_compare
    NEW — ZIP territory relativities when territories table is loaded
  • briefings
    Deterministic rule-engine observations (alias: briefing)
  • objections_search
    Regulator objection letters + excerpts (alias: search_objections)
  • industry_sentiment
    Executive earnings sentiment by LOB (alias: market_voices)
  • search_facts
    Evidence-linked LCM/deviation facts with tracking ids
  • mi_lab_search
    MI PPA / HO lab facts (experimental)
  • data_overview
    Corpus counts + aggregate teaser stats
Note. MCP responses are compact JSON slices (lists capped at 50). Always verify material figures against the underlying SERFF filing. Not actuarial advice.