Physea Labs MCP Server

Physea Labs builds Liminal, a shared intelligence workspace for complex work with AI you can inspect and reuse; Liminal MCP, the same workspace inside your tools; Synth, synthetic customer research; and custom models. Start free with Liminal; pay per solve.

Tools

• solve

  Decompose, ground, and answer a non-trivial task. Supports saved or per-call depth, safe trace, caller tools, and lean/full output.

• get_capabilities

  List solve modes and every public capability.

• get_settings

  Read this caller's saved solve and safety settings.

• set_settings

  Save caller-scoped settings from one dict (depth, optimization, trace, relay, governance); keys and values in get_capabilities.

• get_result_detail

  Fetch the full caller-owned result behind a lean solve.

• export_result

  Export a caller-owned result in a supported format.

• compress_context

  Compress long context into a task-focused brief; use before reading any source over 8,000 characters.

• delegation

  Create, resume, or report a bounded subagent packet (action='create'|'resume'|'report').

• handoff

  Create, safely resume, or list caller-scoped cross-session checkpoints (action='create'|'resume'|'list'). Create accepts an optional subject and source_sessions; Liminality assigns the subject number. Resume by handoff_id — 'latest' resumes the newest unfinished resumable checkpoint, or asks which one when several were created in the last 24h; detail='full' returns the complete checkpoint.

• ask_form

  Create a short form for missing user-specific facts.

• apply_form

  Apply form answers to sharpen a task.

• report_outcome

  Report verified real-world outcome evidence for a result.

• report_feedback

  Report structured feedback on a result.

• apply_grade

  Apply a grade-form answer to a result.

• optimize

  Rank bounded one-factor variants for a route against your stated objective; candidates remain unsaved.

• algorithms

  Create, validate, release and run pure algorithms over versioned datasets; runs replay byte-identical with zero model calls. action='run' is one solve; other actions are free.

• task

  Read or version the contract behind a solve (action='get'|'list'|'versions'|'new_version'|'graph'|'create'|'state'); graph also returns what is still unfinished.

• recover

  Find a workaround for a blocked obligation without changing the task: open a case, read candidates with their boundary, choose, retry, verify against the original criteria (action='open'|'candidates'|'choose'|'retry'|'verify'|'add_candidate'|'get'|'list').

• runs

  Run lifecycle with run and attempt identity (action='start'|'status'|'list'|'cancel'|'reconcile'|'attempt'|'outcome'): cancel persists, an unknown effect is reconciled before any retry, simulate never executes.

• research

  Run a multi-source research pass for a question.

• composio_connect

  Create a caller-scoped connection link for a toolkit.

• register_asset

  Register a caller-owned resource for future grounding.

• set_priorities

  Save caller-scoped tasks and importance signals.

• taxis

  Return this caller's deterministic ranked priority frame.

• catalog

  Read the capability catalog: action='search' returns every saved candidate for an objective with distinctiveness deltas; action='delta' compares a named entity pair.