AIFeed

Name: AIFeed
Author: denyn1

by denyn1version 1.0.0-draft.2i★ –iRuns on your computer

Registry nameio.github.denyn1/aifeed-mcp-server

Install

Overview

Description from the maker (original English)

Verify signed AIFeed permissions, fetch token-budgeted markdown, and verify assets for AI agents.

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 on your computer
Transport: stdio
Category: Docs, sheets & office work

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.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "aifeed": {
      "command": "npx",
      "args": [
        "-y",
        "aifeed-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add aifeed -- npx -y aifeed-mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aifeed": {
      "command": "npx",
      "args": [
        "-y",
        "aifeed-mcp-server"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aifeed": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "aifeed-mcp-server"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account denyn1, 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 Docs, sheets & office worki

More stars than 0% of the other 3527 servers in this category
Published to the registry more recently than 41% of the other 3527 servers in this category
Basic checks equal to or better than 100% of the other 3527 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 AIFeed 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 (1.0.0-draft.2) 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. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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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.

AIFeed

English · Bahasa Indonesia · 中文

Signed content permissions for the AI web.

Declare, sign, and revoke what AI agents may do with your content — and let agents prove it.

▶ Watch: How AIFeed stops web scraping waste

Website · Protocol flow · Benchmark · Complete guide · Paper (PDF)

1-Minute Quickstart

Publisher side — sign what agents may do with your content:

npx aifeed keygen --out .aifeed                         # Ed25519 key pair

npx aifeed site build ./public --domain example.com \ --key .aifeed/aifeed-private.pem --llms --inject # manifest + page markdown + index npx aifeed validate ./public --domain example.com # verify locally

Prefer zero config? npx aifeed init --domain example.com --dir ./site creates the keys, a signed manifest, and the DNS/host setup guide in one step.

Agent side — verify any domain in 3 lines:

npm install @aifeed/verify

const { verifyRemote } = require('@aifeed/verify');

const out = await verifyRemote('example.com'); // discovery → signature → DNS anchor console.log(out.result, out.anchor.status); // VERIFIED anchored

TypeScript: import { verifyRemote } from '@aifeed/verify';

Where to go next: Why AIFeed? · agent quickstart · publisher AI guide · Studio publisher app · npm: aifeed CLI · @aifeed/verify

Why AIFeed?

AI agents now drive a large and growing share of web traffic, but the signals that say what they may do are unsigned text files. Anyone can edit them, nothing binds them to a domain, and there is no way to revoke them. The asymmetry is measurable:

1.9 billion crawls ignored robots.txt rules in a single half-year (one vendor).
A 70,900 : 1 crawl-to-referral ratio was measured for a major AI provider.
AI bots averaged 4.2 % of HTML requests in 2025, peaking at 6.4 %.

AIFeed replaces "please respect this file" with a cryptographically verifiable declaration, plus lean agent-ready content that cuts cost on both sides.

How it works

Generate an Ed25519 key pair — the private key never leaves the origin.
Publish a signed manifest at /.well-known/ai.json: per-use permissions (training, retrieval, quote, …), crawl limits, license, revision.
Anchor the key in DNS (_aifeed TXT) so a manifest cannot be spoofed by another domain.
Agents verify the chain — TLS → domain → signature (JCS + Ed25519) → DNS anchor — and re-check a multi-signature revocation registry on every use.
Rotate keys safely — announce the successor with an old-key-signed directive (plus an advisory DNS pk2 cross-check), keep a bounded overlap, cut over, then revoke the old key permanently. Runbook: docs/rotation.md.
Serve lean content under one of two profiles (below), with a signed delta index so unchanged pages cost 0 bytes.

For AI agents: the check-first guide (discovery → verification → permission decisions → delta → failure handling) is in docs/agent-quickstart.md, with a runnable example at examples/agent/compliant-agent.js.

Verify from other stacks

Independent Python package (standard library only):

pip install aifeed

from aifeed import verify

report = verify.verify_directory('./my-site', domain='example.com') print(report['result'], report['errors'])

Prefer the repository? The same CLI is here (zero dependencies, Node ≥ 20):

cd aifeed-protocol

node bin/cli.js keygen --out keys/ node bin/cli.js validate https://example.com node bin/cli.js site build ./public --domain example.com --key keys/aifeed-private.pem

Two content profiles

Profile	Media type	Extension	Notes
AIFeed Markdown (native)	`text/aifeed+markdown`	`.aifeed.md`	In-band signed policy block, token budget, translation `alternates`, triage metadata
MAKO (compatibility)	`text/mako+markdown`	`.mako.md`	External MAKO trust profile, served from the same signed bytes with its own signature context

Dual-stack origins serve both; cross-format replay is rejected by design.

Measured results

All numbers are reproducible from committed artifacts (npm run bench:mako, npm run bench:enforcement); the test environment is a single machine on loopback networking with a synthetic 60-page corpus. Honest baseline included.

What	Result	Label
Conversion to markdown profiles vs HTML	−68.83 % transferred bytes	measured
Delta consumption (10 % pages changed)	−95.73 % vs HTML crawl	measured
Publisher egress bytes / CPU / peak connections	−55.19 % / −56.23 % / −88.24 %	measured (simulation)
AI-side received bytes (all profiles / compliant client)	−54.84 % / −72.93 %	measured (simulation)
Unchanged pages skipped	14 of 18	measured (simulation)
Signature verification cost	0.70 ms / page	measured

The 30-day live pilot has not run yet; projections per 1,000 tenants are labeled as model extrapolations, and vendor claims of up to 94 % token reduction require semantic summarization this project does not perform automatically.

What's in this repository

Path	Contents
`lib/` + `bin/`	Zero-dependency reference implementation and CLI
`packages/` + `clients/python/`	Published packages: CLI (`aifeed`), SDK (`@aifeed/verify`), MCP server, build plugins (`@aifeed/frameworks`), PyPI `aifeed` verifier
`conformance/`	Conformance vectors: 34 manifest · 39 MAKO · 11 AIFeed Markdown
`wp-plugin/`	WordPress plugin: signed manifest, AIFeed Markdown + MAKO dual-stack, `/llms.txt`
`spec/`	Specifications EN/ID: manifest v0.1/v0.2, AIFeed Markdown v1.0
`schema/`	JSON Schemas for manifests, signatures, AIFeed Markdown, MAKO
`paper/`	Preprint: LaTeX source, PDF, claim ledger, arXiv bundle
`docs/`	Agent quickstart, deploy and namespace guides, Indonesian project notes
`studio/`	Zero-dependency local publisher app: crawl, declare, build, verify, export, and rotate
`docs/REFERENCE.md`	Reference implementation details, what gets verified, CLI quickstart

Documentation

Specifications: spec/en · spec/id · schemas
Reference implementation: docs/REFERENCE.md
Maintenance contract (AI agents & devs): AGENTS.md
Architecture: docs/architecture.md · Release guide: docs/release.md
Agent quickstart (client side): docs/agent-quickstart.md
Publisher AI guide (owner side): docs/publisher-ai-guide.md
Publisher Studio (local app): studio/README.md
Agent skill: skills/aifeed/SKILL.md (installable via ClawHub: npx clawhub install aifeed)
Complete guide: docs/penjelasan-aifeed.html (source of https://aifeed.md/penjelasan.html)
Security policy: SECURITY.md
Governance & open-core policy: GOVERNANCE.md
Deploying the site: docs/deploy-site.md
arXiv submission notes: paper/ARXIV-SUBMISSION.md

Status

Release `1.0.0-draft` — the specifications are not frozen yet. Wire versions: manifest 0.1/0.2, AIFeed Markdown 1.0, MAKO 0.2.
Conformance: 34 manifest + 39 MAKO + 11 AIFeed Markdown vectors, executed by independent JavaScript and Python verifiers, plus PHP differential fixtures, 90,000+ fuzz executions, and a WordPress end-to-end test.
Not claimed: external cryptographic review and a live pilot (both pending); origin+DNS compromise is undetectable on first contact.

License and contact

Specifications CC BY 4.0 · reference code and plugin MIT · vectors CC0. Contact: — security reports per SECURITY.md.

AIFeed

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

1-Minute Quickstart

Why AIFeed?

How it works

Verify from other stacks

Two content profiles

Measured results

What's in this repository

Documentation

Status

License and contact