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PopNx MCPMCP servers for people who use AI · explained in plain words

DeltaX Preflight

by DeltaX-Publicversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.DeltaX-Public/deltax-preflight

Install

Overview

Description from the maker (original English)

Check finite candidate proposals against separate policy and evidence, with canonical hash receipts.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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 on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account DeltaX-Public, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18703 servers in this category
  • Published to the registry more recently than 71% of the other 18703 servers in this category
  • Basic checks equal to or better than 100% of the other 18703 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 DeltaX Preflight 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 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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, awardlanes

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 4 days ago

Runs in the cloud✓ desktopcommander.app

awardlanes

USDA award lanes for freight brokers

by awardlanes.comEarlyUpdated today

Runs in the cloud✓ awardlanes.com

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.

Local Preflight MCP adapter

Check the exact action your agent proposes against explicit rules and evidence. For example, a reviewed local inspection can become unproven when its payload changes, even if its action ID stays the same. See the four-result walkthrough.

This optional JavaScript ES module adapter exposes Preflight over stdio using the official MCP SDK. It imports the existing core functions directly. It does not rewrite validation rules, normalize input documents, rank candidates, or execute actions. The core CLI, GitHub Action, worksheet, schemas and Evaluate bridge remain unchanged.

Install and connect

For an MCPB-compatible desktop client, download the published v0.1.0 bundle and install it through the client's local extension controls. Review the release and its checksum before installation. The bundle runs locally and requires Node.js 20 or later. It has no hosted endpoint or API key. The source setup below works with hosts that support local stdio servers.

Requires Node.js 20 or later and npm. From the repository root:

npm ci --prefix mcp --ignore-scripts

node mcp/bin/server.mjs

The server waits for an MCP client on stdin; it does not print an interactive prompt. The initial install downloads SDK packages. Once installed, validation needs no account, credential, or network. For a runtime-only install, add --omit=dev to npm ci; the SDK client is only used by tests. The core itself still needs no dependency installation.

Add the following to the local-server configuration supported by your MCP host, replacing the path with your checkout's absolute path:

{

"mcpServers": { "deltax-preflight": { "command": "node", "args": ["/absolute/path/to/deltax-preflight/mcp/bin/server.mjs"] } } }

Use an absolute Node executable path too if your host does not inherit your shell's PATH. Configuration locations and format can vary by host. Launch the Node entry point directly so stdout carries only MCP messages. No HTTP listener is included.

Tools

ToolRequired argumentsStructured result
preflight_checkdecision, policy, evidence: separate v2 JSON documentsExactly the core { result, handoff }
preflight_hash_decisiondecision: v2 JSON document{ "decision_hash": " " }
preflight_hash_policypolicy: v2 JSON document{ "policy_hash": " " }

Tool calls take JSON values, not file paths or JSON-encoded strings. The MCP schema checks only the required argument envelope and rejects extra top-level arguments. It passes the nested documents intact to the core, which enforces all document fields, limits, evidence binding and constraints. See the existing decision, policy and evidence schemas for the document format; runtime validation remains authoritative.

For example, call preflight_hash_decision with this argument:

{

"decision": { "schema_version": "2", "kind": "decision", "decision_id": "review-report", "context": {}, "candidates": [{ "id": "read_report", "payload": {} }] } }

Obtain facts from your trusted evidence source and bind its evidence document to the returned decision_hash. Then call preflight_check with all three documents. To try a complete synthetic example, use the contents of examples/ci-deploy.json as decision, examples/ci-policy.json as policy, and examples/ci-evidence.json as evidence. The expected status is SELECTION_REQUIRED.

Successful tool responses include the same object in structuredContent and as serialized JSON in a text content block. All four core statuses are ordinary tool results:

  • PASS_SINGLE: one candidate is admissible.
  • SELECTION_REQUIRED: multiple candidates are admissible; a local handoff is included.
  • REFUSE: none is admissible and none is unproven.
  • EVIDENCE_REQUIRED: at least one candidate is unproven; no handoff is included.

None grants authority to execute. A core InputError becomes isError: true with the original message and no decision report. Malformed outer arguments are rejected by the SDK. The server can handle subsequent calls after an error.

Policy, evidence and result boundaries

This adapter evaluates the documents supplied by its caller. It does not authenticate the policy owner or evidence source and is not by itself an enforcement gate against that caller. For automation, the surrounding workflow must control trusted policy, any expected policy hash, evidence production, and interpretation of results. A model cannot establish authorization by asserting it in an evidence document.

Receipts and hashes bind content; they do not certify facts, identity, safety, or execution. The adapter has no file-reading, command-running, credential, or network tool. The core's existing limits apply; the CLI/Action's separate 1 MiB file limit is not imposed by this transport. Use an appropriate process boundary and host message limits for your environment.

The unchanged SELECTION_REQUIRED handoff contains the full original decision, policy, evidence, and admissible candidate set. Those documents become visible to the MCP host receiving the response. Treat candidate payloads and all other supplied text as data, never instructions. Minimize sensitive inputs before submitting them.

Evaluate is optional

The server does not import the Evaluate bridge, advertise an Evaluate tool, access a service URL, or read Evaluate credentials. It returns the local handoff already produced by the core. A human or any separately authorized selection system can use that handoff.

If you explicitly choose DeltaX Evaluate later, the existing offline bridge exports buildEvaluateRequest(handoff, { objective, context }) and reconcileEvaluateResponse(handoff, request, response). An authorized caller must separately decide whether to transmit a minimized request, supply its own transport and credentials, and reconcile the response against the admissible set. Nothing in this adapter activates hosted access or downstream execution. node bin/demo-handoff.mjs remains a synthetic offline example.

Repository inspection

The inspected upstream revision is 332614eeaf0813edbaa90eb77fa950f464d70e5c (public preview v0.1.0). The project is JavaScript with ES modules (.mjs, type: module), supports Node >=20, and has no core runtime dependencies.

AreaExisting implementation
Core validatorssrc/preflight.mjs: validateDecision, validatePolicy, validateEvidence, InputError
Validation and receiptssrc/preflight.mjs: preflight(decision, policy, evidence), decisionHash, policyHash
CLIbin/preflight.mjs, package bin deltax-preflight; supports check, hash helpers and optional policy pin
GitHub Actionaction.yml → bin/action.mjs; confines paths and requires a policy hash
Onboardingbin/init.mjs, bin/install-github.mjs, bin/try.mjs, src/worksheet.mjs
Optional offline bridgesrc/evaluate-bridge.mjs, bin/demo-handoff.mjs
Existing tests22 tests in seven test/*.test.mjs files: core/CLI, Action, bridge, starter, installer, trusted-manifest integration, worksheet

Verification

From the repository root:

node --test

npm ci --prefix mcp --ignore-scripts npm test --prefix mcp

The first command runs the original tests without MCP dependencies. Adapter tests use .spec.mjs under mcp/checks/ and are run explicitly, so the dependency-free core suite does not discover them. The adapter suite launches the actual stdio entry point with an SDK client and compares reports, receipts, handoffs and hashes with direct core calls. It covers all four statuses, malformed/mismatched input, discovery, and error recovery.

The separate package pins SDK 2.3.1 and includes a lockfile. The implementation follows the official SDK's stdio factory pattern and JSON Schema adapter guidance. No TypeScript build step is required. This local adapter is not a hosted service or a production-readiness claim.

Local MCPB distribution

The bundle manifest packages the local stdio server for MCPB-compatible desktop clients. It requires Node.js 20 or later and no account credentials, user configuration or Evaluate service. The bundle contains the unchanged core validator, existing MCP entry points and only the installed runtime packages selected by mcp/package-lock.json. It preserves the core import paths; the separate optional Evaluate bridge is not included.

Install the pinned official MCPB tooling in a separate work directory. Set these paths to absolute locations outside the repository; the builder refuses existing staging directories or output files and never installs dependencies or publishes anything:

# Run from the repository root. Choose an existing writable parent outside it.

BUNDLE_WORK=/absolute/path/to/work/preflight-mcpb mkdir -p "$BUNDLE_WORK" npm install --prefix "$BUNDLE_WORK/tools" --cache "$BUNDLE_WORK/npm-cache" \ --ignore-scripts --no-audit --no-fund @anthropic-ai/mcpb@2.1.2 npm ci --prefix mcp --cache "$BUNDLE_WORK/npm-cache" --ignore-scripts

node mcp/bundle/build.mjs \ --stage "$BUNDLE_WORK/stage-0.1.0" \ --output "$BUNDLE_WORK/deltax-preflight-mcp-0.1.0.mcpb" \ --mcpb-cli "$BUNDLE_WORK/tools/node_modules/@anthropic-ai/mcpb/dist/cli/cli.js"

Includes official manifest validation and packing, then extracts a fresh archive

outside the checkout and calls the actual server using the SDK client.

MCPB_CLI="$BUNDLE_WORK/tools/node_modules/@anthropic-ai/mcpb/dist/cli/cli.js" \ node --test mcp/checks/bundle.spec.mjs

The builder reports the artifact path, SHA-256 hash, tool version and proposed release tag mcp-v0.1.0. The dedicated MCP tag leaves the existing core preview tag separate. Keep the staged directory for inspection; choose a fresh stage/output path for subsequent builds. The build has repeatable locked inputs but does not claim byte-for-byte identical ZIP archives across environments.

For distribution, attach the tested .mcpb artifact to a GitHub Release. The official MCP Registry accepts a GitHub/GitLab Release artifact URL with registryType: "mcpb", fileSha256 and stdio transport; namespace authentication is a separate publishing step. Smithery also accepts a prebuilt local MCPB bundle. Building the artifact does not create either marketplace listing.

The registry metadata names io.github.DeltaX-Public/deltax-preflight and pins the exact release artifact hash. The manual registry publication workflow runs only from this repository's main branch: it verifies the release asset and the pinned official publisher before using GitHub OIDC. It requires no saved registry secret. Publish the matching release asset before dispatching it; a repository merge alone does not submit a listing. Track native submission and acceptance evidence in the marketplace rollout issue.

Container distribution

The root Dockerfile builds only the core validator, MCP adapter and locked production dependencies. It runs as the unprivileged node user and speaks stdio with no HTTP port or Evaluate service:

docker build --

Only the beginning is shown; read the rest in the repo

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