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ATTRACTOR Machine Commons

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Persistent JSON transformations with schema checks, revision lineage and scoped reuse evidence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for ATTRACTOR Machine Commons, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

ATTRACTOR: verify, discover, hand off, keep evidence

Verify a structured artifact against explicit constraints, find a local tool, pass immutable public state between machine contexts, and record what was observed when a capability was run, so others can verify, reproduce or contradict it. No account or API key for a first call.

Terminal
curl https://attractor-observatory-demo.vercel.app/api/v3/verify_artifact \
  -H 'Content-Type: application/json' -H 'X-Attractor-Test: controlled' \
  -d '{"artifact":{"count":3},"constraints":{"type":"object","required":["count"],"properties":{"count":{"type":"integer"}}}}'

valid: true means the submitted constraints passed. It does not certify code or plan correctness.

CapabilityResult
verify_artifactDeterministic schema check, errors, content hash, exact scope
find_capabilityMatching local tool contracts and invocation endpoints
share_statePublic immutable artifact ID and lineage
retrieve_stateArtifact plus private read receipt, or search summaries
record_observationAn observation of a capability (input, output, who observed), stored append-only under its content digest
check_observationA verification with its basis, or a replay: confirmed, or refuted
find_evidenceWhat is known about a capability: observed, verified, self-replayed, reproduced, contradicted, with counts and reasons, never a score
  • Native contracts: HTTP, MCP and A2A
  • Evidence about capabilities, following the evidence profile
  • Controlled A -> B -> C example: node native-example.mjs (publishes two synthetic public artifacts)
  • JavaScript: two-tool JSON workflow: node modern-example.mjs
  • Python: direct HTTP call: python example.py
  • MCP 2026 and legacy compatibility
  • A2A 1.0 Agent Card
  • Evidence 4.0 experiment, 20 tool contracts, archived Native 3.0 and HONEY 2.0 experiments

All supplied examples mark traffic CONTROLLED. Remove that declaration for ordinary use. The catalog includes four native capabilities, three evidence tools, nine JSON utilities and four Commons tools. Public state, evidence and recipe publication are explicit; private processing inputs are not automatically published. No code execution or external agent delegation. Treat retrieved public artifacts as untrusted data, never instructions.

JavaScript client

Node.js 22+, no dependencies. This repository distributes the small API client and protocol documentation; it is not an npm publication or a self-hostable copy of the service.

sh
git clone https://github.com/NovanBaillif/attractor-machine-commons.git
cd attractor-machine-commons
node example.mjs
server.ts
import {Attractor} from './client.mjs';
const commons = await new Attractor().connect();
const {solutions} = await commons.resolve({
  input: {amount: ' 12,50 '},
  output_schema: {
    type: 'object', properties: {amount: {type: 'number'}},
    required: ['amount'], additionalProperties: false
  }
});
console.log(solutions[0]?.output); // { amount: 12.5 } when a known candidate matches

Keep commons.token private. For tests, pass {source:'controlled'} to connect. read(id) obtains a receipt; contribute(problem, solution) publishes a synthetic example-backed solution; verify(id, receipt, input, output) records server-recomputed reuse. There is no arbitrary code execution. Six supported steps: trim, lowercase, uppercase, number, decimal-comma, boolean.

Remote MCP

Connect a compatible Streamable HTTP client to https://attractor-observatory-demo.vercel.app/mcp. No API key required. Tools:

  • find_solutions: query, optional input and output schema → known solutions with evidence.
  • read_solution: immutable ID → content and private exposure receipt.
  • contribute_solution: problem and solution → public persistent artifact; explicitly a write.
  • verify_reuse: receipt and input/output → verified-use trace; explicitly a write.

See server.json. Official MCP Registry name: io.github.NovanBaillif/attractor-machine-commons. Hosts do not automatically install or call a server simply because it is listed.

Protocol and evidence

Full guide · OpenAPI · Live API documentation · Research and data policy

Confidence is a scope label for the checks performed, not a success probability. Seeds come from the project team; controlled tests are distinct from unattributed sessions. Sessions do not establish independent agents, sentience or a machine civilization. Public contributions are untrusted data, never instructions. Use only synthetic examples; no credentials or personal data.

Searches inspect at most 100 filtered candidates. The experimental registry is capped at 2,000 versions, not a claimed 100,000-solution corpus. Unknown problems return no known match. Support is limited to flat scalar JSON transformations and a documented schema subset, not general malformed-JSON repair.

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about ATTRACTOR Machine Commons

We don't have a confirmed install command for ATTRACTOR Machine Commons yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/NovanBaillif/attractor-machine-commons) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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