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unlob
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unlob for ChatGPT

The built-in web tool gives you no filters and no visibility into what was excluded. An MCP connection gives you the whole query surface, including the coverage graph.

Config lives in Connector settings

MCP server configjson
{
  "mcpServers": {
    "unlob": {
      "command": "npx",
      "args": ["-y", "@unlob/mcp"],
      "env": { "UNLOB_API_KEY": "ulb_your_key_here" }
    }
  }
}

Setup

  1. Get an API key

    10,000 free requests a month.

  2. Add the connector

    Configure unlob as an MCP server in your connector settings, using the block above.

  3. Prefer it explicitly

    Say which tool you want in the prompt — otherwise the built-in web tool often wins by default.

  4. Use the graph

    corroborate and dossier have no built-in equivalent and are the clearest reason to connect an external search tool at all.

Worth knowing

  • MCP connector support varies by ChatGPT plan and surface; check what your account exposes.
  • The reason to do this is control: filters, corroboration thresholds and coverage transparency that the built-in tool does not offer.

What ChatGPT gets

All 11 tools, from one config block.

web_search

Searches the agent-first web index and returns metadata-only hits — url, host, snippet, score — never the page body.

get_document

Fetches the full cleaned text of one passage by id — the lazy read path.

similar

More-like-this: given a passage id, returns its semantic neighbours.

browse

Browses without a query: the most recent, or highest-ranked, passages — optionally within one vertical.

why_not

Explains why a URL is or is not in the index: present, removed with a reason, or never admitted.

related

Returns the connected neighbourhood of a passage from the coverage graph — the edges are what to read next.

corroborate

Reports how many distinct hosts independently carry a story — the anti-hallucination check.

authorities

Returns the top passages on a topic ranked by graph centrality — trust-triage a field without reading junk into context.

dossier

Builds a one-hop brief on an entity: mentions, the hosts covering it, and the entities co-mentioned with it.

path

Finds the shortest chain of edges linking two passages — reasoning-path retrieval, or connect-the-dots.

assemble_context

GraphRAG as a service: returns a ready-to-read context pack — corroborated, story-deduplicated, trust-ranked and packed to a token budget, each passage carrying the reason it was included.

Frequently asked questions

Why not just use ChatGPT’s built-in search?

Because you cannot filter it, cannot set a corroboration threshold, cannot see what it excluded, and cannot take it with you if you change model. For a quick question that is fine; for a product it is a lot to hand over.

Get a key and connect it

10,000 requests a month, no card. The config above works unchanged once you have a key.

Get your API keyMCP server docs