Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Pre-execution gate for AI-agent tool calls. Touch ID approval. Tamper-evident audit log.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"quill": {
"command": "uvx",
"args": [
"quillx"
]
}
}
}Run this in your terminal
claude mcp add quill -- uvx quillxPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"quill": {
"command": "uvx",
"args": [
"quillx"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"quill": {
"type": "stdio",
"command": "uvx",
"args": [
"quillx"
]
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account manumarri-sudo, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0a5) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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.
Notari issues a signed Change Passport for every AI-authored pull
request: a receipt any reviewer or auditor can re-verify from the signature
alone, without re-running Notari or trusting a screenshot, recording which
files a human approved the agent to touch and
whether it stayed inside them. A human signs the boundary once; in CI, Notari
checks each pull request against it and stamps the passport PASS,
NEEDS_REVIEW, or BLOCK. There is no model in that verdict, so it cannot
be prompt-injected. It does not judge whether the code is correct: it
attests to *where* the change went and whether it leaked a secret, the part a
human most often skims past on a large agent PR. Alpha; treat
as the source of truth over any one-line claim.
uvx notari init
Nothing to install first. In one command, inside any git repo, that generates an approver keypair and a gate keypair, signs a secure-by-default perimeter, writes the hardened GitHub workflow (pull_request_target, SHA-pinned, the pull request checked out into a data-only directory), gitignores your private keys, and then prints your honest posture plus the exact steps still missing. Measured from a clean machine with no Python tooling configured, the CLI resolves and runs in about a second and a half.
Prefer a persistent install? pipx install notari or pip install notari, then notari init. Either way the next two commands are the whole daily loop:
notari begin "add rate limiting" --scope "src/api/**" # sign what the agent may touch
notari verify --strict # in CI: PASS, NEEDS_REVIEW, or BLOCK
notari initautomatically forbids directories that look sensitive (auth,
migrations,infra,terraform,deploy, and similar). Forbidden beats contract
scope, so scoping a task *into* one of them returns BLOCK by design. When you really
do need to touch one, set the boundary explicitly and sign it:
notari guard --key approver.pem --allow "src/**" --forbid "migrations/**".
Four surfaces, each stated at its real strength rather than its most flattering one:
1. The gate, which is the provable boundary. In CI, outside the agent's reach, every changed path outside .notari/ is measured against a signed scope and a signed perimeter, each touched file is scanned for 26 vendor secret patterns, and renames (both endpoints), mode-only changes, binaries, symlinks, submodules, and .gitattributes diff-hiding are all in the inventory rather than blind spots. You name the scope per task (--scope), so a narrow scope means "only these paths", and the explicit --scope '**' means "anything the signed perimeter does not forbid", stated plainly on the passport either way so a PASS is never ambiguous. Secret detection is a finite pattern set, so it catches the common vendor-format leaks rather than proving no secret exists. There is no model in the decision path, so there is nothing to prompt-inject.
2. The receipt, which outlives the run. A Change Passport (passport.json plus a PR-ready passport.md) whose Ed25519 signature anyone can re-check later with notari verify-passport, months on, on a different machine, so a forged or tampered verdict fails and you trust the signed receipt rather than a screenshot. This checks that the gate genuinely issued this verdict, not that the code is correct, and it does not re-run the gate. Behind it sits an HMAC-chained audit log that detects edits and insertions cryptographically, and trailing truncation against a sealed high-water-mark once notari audit verify has run; the passport's footer cites the exact chain entry for its run.
3. The remediation path, so a BLOCK is actionable. notari explain turns a BLOCK into a per-finding fix and a paste-ready agent prompt, and notari agent-brief hands the next agent its approved scope before it starts. All local, all human-gated, no telemetry, and no raw code, diffs, or secret values ever leave your machine.
4. The guard on your laptop, which is defense-in-depth and not a hard boundary. An optional PreToolUse hook gates the agent's tool calls as they happen (rm -rf, git push --force, DROP TABLE, vercel --prod, .env reads), critical calls need a single-use ten-minute approval that on macOS is hardware-attested through Touch ID on the Secure Enclave, and files the agent writes get an AST pass that flags shutil.rmtree and exec(b64decode(...)) before a later python foo.py can run them.
That fourth row is deliberately labelled: an application-layer gate can be routed around by a determined adversary, and the limits are enumerated in the security model rather than buried. The boundary that holds is the CI one.
New here? Start with the Quickstart (zero to a blocked bad PR in ~10 minutes). Then: Security & threat model · Product & tiers.
Found a bypass, a confusing error, or a reason you'd never adopt this? That is exactly the feedback this alpha exists for: open an issue.
Want to attack it first? bash examples/bypass_probes.sh runs twelve bypass shapes against a freshly signed perimeter and prints the verdict for each: rename into a forbidden path, mode-only change, case variant, a secret hidden behind a .gitattributes -diff entry, an agent widening its own signed contract, and more. Eleven BLOCK; the twelfth is the documented line-split secret limit. A thirteenth shape that earns an undeserved PASS is the single most useful thing you can send.
An AI agent opens a pull request. Which files was it *not* approved to touch? On a 40-file agent diff that is the question a human skims past, and it is the one Notari answers, at the merge boundary in CI, with a signed Change Passport a reviewer can re-verify instead of trusting a screenshot. The verdict is a deterministic function of the diff, the signed contract, and the policy, so there is no model in it to jailbreak. It records *where* the change went and *whether* it leaked a secret; it does not prove the in-scope code is correct or free of a backdoor. That is the honest scope.
An agent edits in and out of scope, and Notari verifies each diff (PASS / NEEDS_REVIEW / BLOCK) against the signed contract (from examples/change_control_demo.sh, unedited):
# 0. one-time: create a human approver key. Keep the PRIVATE half off the build
notari keygen --out approver.pem export NOTARI_APPROVER_PUBKEYS="$(cat approver.pem.pub)"
notari guard --key approver.pem --allow "src/" --forbid "migrations/"
notari begin "Add rate-limiting to the login endpoint" --scope "src/auth/**" --key approver.pem
notari verify --strict # PASS · NEEDS_REVIEW · BLOCK (BLOCK fails the build)
notari verify-passport.
That full sequence, pinned external approver key, signed perimeter, signed contract, --strict, is the real adversarial boundary. Drop any of it (notari begin / notari verify with no flags) and Notari still runs, but in *cooperative* mode: honest review automation for a non-adversarial agent, not a boundary against one trying to escape. Verdict signing is opt-in (it needs a gate key); it is not on by default. See docs/SECURITY-MODEL.md for the full deployment checklist.
notari verify reads git diff ..HEAD, checks every changed file against the scope you approved, scans each touched file for hardcoded secrets and sensitive surfaces (CI config, lockfiles, test deletions), evaluates any logged exceptions, and writes a Change Passport: passport.json + a PR-ready passport.md, that cites the HMAC-chained audit entry for the run, so a reviewer can trace the verdict back to a tamper-evident record instead of trusting the markdown alone.
The agents writing your code have shell access, file write, deploy permissions, and your credentials, and the failures are already on the record: in July 2025 Replit's agent deleted a production database during a vibe-coding session and fabricated data to cover it; that same month a Cursor agent ran rm -rf ~/ against a developer's home directory; in August an autonomous agent committed a customer's GitHub token into a public commit. The common thread is not that the model is evil, it is that nothing checked the change against what was actually approved before it shipped.
Notari puts that check where it can be enforced and recorded: in CI, on the pull request, where the gate runs outside the agent's own process and cannot be quietly switched off by the thing it is reviewing. The verdict is a deterministic function of the diff, the contract, and the policy, there is no LLM in the decision path, so the gate itself cannot be prompt-injected.
Calibration matters more than marketing.
Only the beginning is shown; read the rest in the repo