Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
ATTRACTOR Verification, State & Evidence
Overview
Description from the maker (original English)
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://attractor-observatory-demo.vercel.app/mcpRun this in your terminal
claude mcp add --transport http attractor-machine-commons https://attractor-observatory-demo.vercel.app/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"attractor-machine-commons": {
"url": "https://attractor-observatory-demo.vercel.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"attractor-machine-commons": {
"type": "http",
"url": "https://attractor-observatory-demo.vercel.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://attractor-observatory-demo.vercel.app/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account NovanBaillif, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Otheri
- More stars than 0% of the other 32686 servers in this category
- Published to the registry more recently than 45% of the other 32686 servers in this category
- Basic checks equal to or better than 100% of the other 32686 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is ATTRACTOR Verification, State & Evidence safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (4.0.0) reached the registry 2 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated 2 days ago
Install
Microsoft Exchange Online MCP
by servosity
Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell
Runs on your computerUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
| Capability | Result |
|---|---|
verify_artifact | Deterministic schema check, errors, content hash, exact scope |
find_capability | Matching local tool contracts and invocation endpoints |
share_state | Public immutable artifact ID and lineage |
retrieve_state | Artifact plus private read receipt, or search summaries |
record_observation | An observation of a capability (input, output, who observed), stored append-only under its content digest |
check_observation | A verification with its basis, or a replay: confirmed, or refuted |
find_evidence | What 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.
git clone https://github.com/NovanBaillif/attractor-machine-commons.gitcd attractor-machine-commons node example.mjs
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.