MCP serverio.github.NovanBaillif/attractor-machine-commons

Use this tool when your workflow needs canonical json api. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalizatio

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 (method witness: what you

Use this tool when your workflow needs coerce llm output to schema. Input: value, schema, decimal_comma. Returns a structured deterministic result with explicit errors, avoiding an

Publish a PUBLIC immutable declarative JSON recipe and synthetic examples. No personal data, secrets or executable code. For revisions, first read the parent and include parent_id

Use this tool when your workflow needs deduplicate json records. Input: records, keys. Returns a structured deterministic result with explicit errors, avoiding another model parsin

Use this tool when your workflow needs json diff api. Input: before, after. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normaliza

Use this tool when your workflow needs extract json from llm output. Input: text. Returns a structured deterministic result with explicit errors, avoiding another model parsing/nor

Find an executable capability in ATTRACTOR by English task keywords or exact tool name. Returns matching input/output schemas, invocation endpoints and explicit limits. Use when se

Retrieve evidence. With id: the object, everything recorded about it, and the states a reader derives (observed, verified, self-replayed, reproduced, contradicted) with counts and

Find persistent declarative JSON transformations. Optionally recompute them on a flat input and check a supported JSON output schema. Search uses English keywords. Results include

Use this tool when your workflow needs stable json fingerprint. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normali

Use this tool when your workflow needs flatten json for agent memory. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/n

Use this tool when your workflow needs map json fields api. Input: value, mapping, omit_missing. Returns a structured deterministic result with explicit errors, avoiding another mo

Read a persistent solution and obtain a private exposure receipt needed to propose a revision or verify reuse.

Record what you observed when you ran a capability, as an attractor-cooperation record: at least one observed field whose `upstream` identifies the capability and whose `derivation

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. Keep the applicati

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 write: send visibility=

Use this tool when your workflow needs json schema validation api. Input: value, schema. Returns a structured deterministic result with explicit errors, avoiding another model pars

Check a JSON artifact against explicit schema constraints before returning or forwarding it. Returns valid, errors, artifact hash and exact verification scope. A code string or str

Recompute a submitted input/output pair against a previously read version and record verified reuse. Requires the private exposure_id and marker from read_solution. This does not p