MCP serverai.serff/ca-rate-filings

**Use this to see the REGULATORY POSITION history of a filing — the whole CDI ↔ carrier dialogue plus filer contact info — in order. NOT for the filing's content, rates, or forms.*

**Use this to see the full REGULATORY POSITION of a filing in one call — current CDI status, who is reviewing it, the entire objection history, filer contacts, and lineage to prede

Returns the **reconciled lineage chain** for a SERFF id — leaf filing plus ordered predecessors back to the bureau root. Each chain entry includes the SERFF id, position (0 = leaf)

Returns the predecessor, superseded, and companion filings that **this filing itself** cites in its supporting documentation. Carrier-claimed lineage extracted from inside the PDF

Returns a short-lived **V4-signed GCS URL** for a single SOURCE file (PDF / XLSM / XLSX / DOC / ZIP) the carrier submitted for a SERFF filing. The link is intended for **display to

Returns an actuarial narrative summary for a single SERFF id — the **Filing Type** header, the **"What This Filing Does"** section (concrete bullet-pointed change list with page ci

**Use this to size up a person's REGULATORY caseload — how many filings a reviewer, actuary, or contact appears on, split by filing status. NOT for content or rating questions abou

Lists the **source files** (PDFs, XLS spreadsheets, DOC manuals, ZIP archives) ingested for a SERFF id. Returns metadata only — name, size in bytes, MIME-class type (`pdf` / `sprea

Returns the resolved identity behind the current MCP bearer — email, company_name, account_type (free vs production), and company_reference. Quota-exempt: this is an identity probe

Onboarding + connection guide. Returns plain-text instructions: sign up for a free account at statefilings.ai, use the client_id / client_secret shown at signup when the MCP client

Diagnostic snapshot of the deployed MCP server: build identifier, server_version (1.0.<PR> tag), boot time, advertised tool names, a hash of the tool surface, and corpus_updated_at

Pure vector search over per-filing actuarial-memorandum embeddings (`extract_embeds` where `kind='actuarial_memo'`). Each hit is a filing whose memo is semantically closest to your

**Use this to understand the REGULATORY POSITION of a filing — what the state regulator questioned, how the carrier answered, who was on the exchange. NOT to understand what the fi

Pure vector search over per-chunk full-document embeddings (`filing_embeds`, ~12.4M rows across ~65K filings — each filing sliced into ~190 paragraph-sized chunks). The most granul

Search the SERFF filings corpus by carrier, NAIC, product line, state, year-range, filing type, or bureau lineage. Returns a lite row shape per match (SERFF id, state, year, NAIC,

Pure vector search over per-filing extraction-summary embeddings (one embedding per filing, ~59K rows total). Each hit is a filing whose extraction summary is semantically closest