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Seb Labs

by FastDrop

MCP Verified 1 hour ago Registry import free

Typed AI decisions for agents: classify, route, screen evidence, score and batch-label text.

Typed AI decisions for agents: classify, route, screen evidence, score and batch-label text. Official MCP Registry: dev.seblabs/seblabs@1.1.0. Remote endpoint: https://mcp.seblabs.dev/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as dev.seblabs/seblabs and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

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Tools this endpoint exposes

Read directly from the endpoint on 26 Oct 2026. Not supplied by the maker.

  • seb_demo

    Use for a free connection/interface check or a fixed example of enterprise, finance, robotics or handoff decisions. Returns labeled illustrative probabilities, never live inference. No account token i

  • seb_decide

    Use for evidence/claim support checks, binary screening, rubric scoring, or several related judgments on one text state. Supply 1–10 named questions: choice has 2–20 option keys mapped to descriptions

  • seb_fin_analyze

    Use only for entitled accounts with an enabled dedicated Seb-9B-Fin backend, to judge financial language or supplied point-in-time market context with the same choice/noul/score schema. The public gen

  • seb_route

    Use for fast single-label classification or routing: ticket triage, intent/topic/sentiment labels, selecting a tool or workflow, guardrail categories or an escalation decision. Supply the relevant con

  • seb_batch_decide

    Use to classify, screen, triage, rank by an explicit rubric, or bulk-label up to 100 independent text states with the same 1–10 typed questions. Each result retains its input index and its own success

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Matched on shared tags and the tools their MCP servers actually expose.

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