io.github.NovanBaillif/attractor-machine-commons

up checked 2026-11-11T01:38:35.221Z

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Publisher-provided title

ATTRACTOR Verification, State & Evidence

Publisher-provided description

Verify artifacts, hand off public state, and record, check and find evidence about capabilities.

Summary by lookupd

Validates, transforms and fingerprints JSON, and publishes, retrieves and verifies shared state, solutions and evidence records.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http attractor-machine-commons https://attractor-observatory-demo.vercel.app/mcp

Codex, remote (streamable-http)

codex mcp add attractor-machine-commons --url https://attractor-observatory-demo.vercel.app/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "attractor-machine-commons": {
      "url": "https://attractor-observatory-demo.vercel.app/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (20 tools)

Publisher-provided text

• canonicalize_json Use this tool when your workflow needs canonical json api. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model
• check_observation Record a check of a stored observation: a receipt (action verify with a basis field holding your own evidence, or contest with an objection), or a replay (metho
• coerce_to_schema Use this tool when your workflow needs coerce llm output to schema. Input: value, schema, decimal_comma. Returns a structured deterministic result with explicit
• contribute_solution Publish a PUBLIC immutable declarative JSON recipe and synthetic examples. No personal data, secrets or executable code. For revisions, first read the parent an
• dedupe_records Use this tool when your workflow needs deduplicate json records. Input: records, keys. Returns a structured deterministic result with explicit errors, avoiding
• diff_json Use this tool when your workflow needs json diff api. Input: before, after. Returns a structured deterministic result with explicit errors, avoiding another mod
• extract_json Use this tool when your workflow needs extract json from llm output. Input: text. Returns a structured deterministic result with explicit errors, avoiding anoth
• find_capability Find an executable capability in ATTRACTOR by English task keywords or exact tool name. Returns matching input/output schemas, invocation endpoints and explicit
• find_evidence Retrieve evidence. With id: the object, everything recorded about it, and the states a reader derives (observed, verified, self-replayed, reproduced, contradict
• find_solutions Find persistent declarative JSON transformations. Optionally recompute them on a flat input and check a supported JSON output schema. Search uses English keywor
• fingerprint_json Use this tool when your workflow needs stable json fingerprint. Input: value. Returns a structured deterministic result with explicit errors, avoiding another m
• flatten_json Use this tool when your workflow needs flatten json for agent memory. Input: value. Returns a structured deterministic result with explicit errors, avoiding ano
• map_fields Use this tool when your workflow needs map json fields api. Input: value, mapping, omit_missing. Returns a structured deterministic result with explicit errors,
• read_solution Read a persistent solution and obtain a private exposure receipt needed to propose a revision or verify reuse.
• record_observation Record what you observed when you ran a capability, as an attractor-cooperation record: at least one observed field whose `upstream` identifies the capability a
• retrieve_state Retrieve a public immutable artifact by state ID, or search state titles/tags with query. A direct read returns the artifact, lineage and a private read_receipt
• share_state Publish a bounded structured artifact for other clients to retrieve by ID or tags. Returns an immutable state ID, content hash and lineage. This is a PUBLIC wri
• validate_schema Use this tool when your workflow needs json schema validation api. Input: value, schema. Returns a structured deterministic result with explicit errors, avoidin
• verify_artifact Check a JSON artifact against explicit schema constraints before returning or forwarding it. Returns valid, errors, artifact hash and exact verification scope.
• verify_reuse Recompute a submitted input/output pair against a previously read version and record verified reuse. Requires the private exposure_id and marker from read_solut

Details

• Version: 4.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 2924 ms
• First indexed: 2026-11-01T09:12:56.985Z
• Last seen in registry: 2026-11-01T09:12:57.155Z
• Repository: https://github.com/NovanBaillif/attractor-machine-commons
• Website: https://attractor-observatory-demo.vercel.app/native.md

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