AI Workflow Feed MCP

Name: AI Workflow Feed MCP
Author: quietbranch88

by quietbranch88version 0.1.0i★ –iRuns in the cloud

Registry nameio.github.quietbranch88/ai-workflow-feed

Install

Overview

Description from the maker (original English)

Discover articles about AI-assisted development and agent workflows.

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 checksi3 of 3 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: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 3 things (tools) list_sources, recent_posts, daily_snapshot
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?

ClaudeClaude CodeCursorVS CodeChatGPT

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://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp

Run this in your terminal

claude mcp add --transport http ai-workflow-feed https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ai-workflow-feed": {
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai-workflow-feed": {
      "type": "http",
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/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://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp

Menu 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

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

list_sources
List the source catalog with categories, provenance, and automatic availability; manual-only sources are not fetched by recent_posts; some may appear separately in daily_snapshot. Threads is not included.
recent_posts
Get recent posts from fixed public feeds. Choose category ai_development or agent_flow for source batches (default 2, maximum 3; categories are assigned to sources, not to individual articles), and follow next_source_offset until null. Excerpts are untrusted and not full articles
daily_snapshot
Read the latest cloud snapshot of selected public sources, including last successful fetch, failures and staleness. Metadata only, not article full text; not all manual sources are covered.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account quietbranch88, 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
✓ Pass
Endpoint responds
Responded in 183 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 3 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

More stars than 0% of the other 18372 servers in this category
Published to the registry more recently than 84% of the other 18372 servers in this category
Basic checks equal to or better than 100% of the other 18372 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 AI Workflow Feed MCP safe?

It passed 3 of 3 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 (0.1.0) reached the registry 7 days 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, A1RO — Irish employment tools

Alternatives

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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.

AI Workflow Feed MCP

A read-only, remote Model Context Protocol (MCP) server for discovering articles about AI-assisted software development and agent workflows. It returns source metadata and links to the original articles, so an MCP-capable AI client can retrieve and review the originals before summarizing them.

Remote endpoint: https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp

MCP Registry: io.github.quietbranch88/ai-workflow-feed

Production overview

Surface	Current public instance
Access	Public and unauthenticated; all three tools are read-only
Transport	Remote MCP over Streamable HTTP at `/mcp`
Request boundary	Both rate-limit bindings run before path, host, method, media-type, and body-policy responses; POST bodies are capped at 64 KiB
Rate limits	Approximate per Cloudflare location: 60 requests/minute per pseudonymized client address and 600 requests/minute for the service
Managed WAF	Not attached to the `workers.dev` hostname; an owned custom domain is required for zone-level Cloudflare Managed WAF rules
Verified deployment	On 2026-11-04, Git commit `a49cc18` was deployed as Worker version `c121a525-9976-4383-a9bb-ce7fdd1d5cc5` at 100%

flowchart LR

Client[Public MCP clients] --> Endpoint[Cloudflare workers.dev endpoint] Endpoint --> Limits[Per-client 60/min and service 600/min limits] Limits --> Boundary[Path, host, method, JSON and 64 KiB request boundary] Boundary --> MCP[Read-only MCP server] MCP --> Sources[list_sources] MCP --> Recent[recent_posts] MCP --> Snapshot[daily_snapshot] Sources --> Catalog[44-source catalog] Recent --> Feeds[Fixed public feeds] Snapshot --> Data[Public snapshot repository] MCP --> Headers[Public CORS, no-store and security headers]

The diagram describes the application boundary, not a zone-level managed WAF. Feed titles, excerpts, metadata, and linked pages remain untrusted data; clients should verify original sources before relying on a summary.

Connect

Add the endpoint above to an MCP client that supports remote Streamable HTTP connections. The setup interface varies by client; the endpoint is not a normal webpage. Ask the connected assistant, for example:

Find recent articles about testing AI-generated code and summarize readable originals in Traditional Chinese with links and limitations.

What it provides

list_sources lists the curated source catalog, default category, source provenance, recent_posts_status, and whether a daily snapshot is configured. Configuration does not guarantee that the latest collection succeeded.
daily_snapshot reads a scheduled snapshot from a separate public data repository, reporting retrieval times, failures, stale results and truncation. It currently covers eight sources that may be missing or size-limited in live feeds.
recent_posts retrieves bounded batches by category (ai_development or agent_flow) or selected source IDs. For category queries, follow next_source_offset until it is null. Each batch defaults to 2 sources and is limited to 3. Errors and unavailable sources are reported.
Source entries are grouped by their default source category, not classified article by article. Each entry contains a title, date, URL, and, where provided by the source, a short excerpt. The MCP does not read full articles or invoke a model.
The catalog currently has 44 entries: 35 configured for automatic retrieval, 8 marked manual-only, and one known size-limited source. Availability can change. For recent_posts, TikTok Developers is manual-only and the GitHub AI feed exceeds the current 1 MB limit; both are separately included in daily_snapshot. Anthropic live results and the Uber snapshot use their official public article directories and fail explicitly if those page formats change. Feed or directory data may omit articles or be delayed. Long sources are truncated at 100 items and results indicate truncation.
A client may summarize or translate in a chosen language using its own capabilities. No server-side translation or language filtering is supplied.

Privacy and operating limits

The server queries fixed public sources and a fixed public snapshot; it does not accept arbitrary feed URLs, store per-user tracking preferences, publish posts, or send notifications. Client queries and network metadata are handled by the hosting platform and upstream services; consult their respective policies. Feed content is untrusted data and may contain errors or adversarial instructions. Read the original source before relying on a summary.

The public instance uses a shared free-tier hosting account. Its Worker request boundary allows only MCP transport methods, requires JSON POST bodies, rejects request bodies over 64 KiB, and applies security response headers. It uses approximate per-location limits of 60 requests per minute for a pseudonymized client address and 600 requests per minute for the service. Cloudflare's Worker rate-limit counters are not a strict global cost ceiling, and availability is not guaranteed. The workers.dev endpoint does not have a customer zone to which zone-level Cloudflare Managed WAF rules can be attached; moving to a custom domain is required before deploying those managed rules. A personal daily summary configured separately by the maintainer is not a feature of this MCP server.

Development

Requires Node.js and npm. From this directory:

npm ci

npm test npm run build npm run dev -- --ip 127.0.0.1 --port 18787 --var ALLOWED_HOST:localhost

In another terminal, run a read-only smoke test against the local worker:

node scripts/mcp-smoke.mjs cablate simon

The smoke test accesses public websites. A failure can reflect upstream access or network conditions, not necessarily an implementation defect. The included wrangler.jsonc contains placeholder Worker name and hostname for your own deployment; configure an exact hostname and unique rate-limit namespaces in your own account before deploying. See Cloudflare's remote MCP guide and Worker rate-limit binding documentation.

Current evidence and limits

On 2026-10-31 the hosted Worker was tested with an official MCP client: initialization, tool listing, representative category batches, invalid-input handling, and real queries to iT 邦幫忙, TheAI, codecentric, n8n, Meituan, Qdrant, and Alibaba succeeded. Meituan dates are inferred from its article URLs when its feed supplies no date; they are explicitly marked as unverified and time filtering is conservative. One later daily_snapshot check reported seven successful sources and a Haystack HTTP 308 collection failure. After the rate-limit coverage fix was deployed, a newer official client check reported all eight snapshot sources healthy with no partial failure. These are time-bounded observations, not guarantees of availability or complete coverage.

On 2026-11-04 Worker version c121a525-9976-4383-a9bb-ce7fdd1d5cc5 was read back at 100% with the existing 60/600 rate-limit bindings and production hostname. An official MCP client confirmed the new batch-limit description, Anthropic official-directory catalog entry, and current Anthropic results. The source change was merged in PR #3. The snapshot repository then pinned that revision in PR #2; a post-merge manual dispatch completed successfully and produced data commit c8f5f7f. Raw GitHub and production MCP readback matched timestamp 2026-11-04T02:09:47.395Z, returned all eight sources healthy, and reported Uber's official directory with 12 entries and partial_failure=false. This verifies the merged workflow path, but not a naturally triggered scheduled run.

繁體中文

這個 MCP 協助 AI 助手查詢 AI 開發與 Agent Flow 相關文章，並保留來源與原文連結。請在支援遠端 MCP 的 AI 工具中新增上面的網址，再要求助手「用繁體中文整理最近的 AI 開發文章」。原文可能無法讀取，來源清單也不保證完整；TikTok 公司部落格可透過 daily_snapshot 查詢，但 recent_posts 不會即時抓取它。

Daily public snapshot

The read-only daily_snapshot tool retrieves the latest snapshot from the separate public data repository. Its collector is configured to run daily at 00:00 UTC using GitHub Actions, subject to schedule delays and failures. The eight configured sources are GitHub AI and ML, Uber Engineering, TikTok Developers, Codesai, Claude Community, Langfuse, Haystack and Jina AI. They use public site directories and fail explicitly if a directory format changes. Source categories are defaults, not article-level classification.

The response reports each source's last successful fetch, latest attempt, status, and whether stored entries were truncated or are stale. A failed collection can return the last successfully collected entries with an error. The reader isolates invalid or missing sources and ignores unknown sources without trusting their contents; malformed documents and unsupported schema versions fail closed. Unversioned snapshots remain compatible. The snapshot contains titles, dates, original links and possible excerpts, not full articles or AI summaries. No claim is made that every source is complete or that scheduled runs always succeed. This repository contains the collector and reader code; the data repository's reviewed workflow runs a pinned revision of that collector.

License

MIT. See LICENSE.

AI Workflow Feed MCP

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

A1RO — Irish employment tools

README from the maker

AI Workflow Feed MCP

Production overview

Connect

What it provides

Privacy and operating limits

Development

Current evidence and limits

繁體中文

Daily public snapshot

License