# AI Workflow Feed MCP (remote · ai-workflow-feed-mcp.zoelinebot2026.workers.dev)

Discover articles about AI-assisted development and agent workflows.

- Trust score: 65/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `ai-workflow-feed-mcp.zoelinebot2026.workers.dev`: 65/100 (this document), [markdown](https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp.md), [page](https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp)

## Channel facts

- Endpoint: `https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 211 tokens (~70/item across 3 items; 3 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 17/100
  - Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the AI Workflow Feed MCP server?

AI Workflow Feed MCP is a hosted endpoint at https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http quietbranch88-ai-workflow-feed 'https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "quietbranch88-ai-workflow-feed": {
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "quietbranch88-ai-workflow-feed": {
      "type": "http",
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.quietbranch88-ai-workflow-feed]
url = "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "quietbranch88-ai-workflow-feed": {
      "type": "remote",
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add quietbranch88-ai-workflow-feed --url 'https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  quietbranch88-ai-workflow-feed:
    url: "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "quietbranch88-ai-workflow-feed": {
      "Transport": "http",
      "Url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add quietbranch88-ai-workflow-feed -t streamable-http -u 'https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp'
```

### Other

```json
{
  "mcpServers": {
    "quietbranch88-ai-workflow-feed": {
      "type": "http",
      "url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-04 (score 64, 0)

- [security] Tool “recent_posts” rewrote its description, which is the text the model reads

### 2026-11-03 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 63, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-31 (score 62)

First indexed and scored.

## MCP tools (3)

### `list_sources` (~44 tokens)

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` (~123 tokens)

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. Manual-only sources are listed separately.

Input parameters:

- `category` (string)
- `days` (integer)
- `limit` (integer)
- `query` (string)
- `source_batch` (integer)
- `source_offset` (integer)
- `sources` (array)

### `daily_snapshot` (~44 tokens)

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.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp#diagnostics

## Score history

- 2026-11-05: 65
- 2026-11-04: 64
- 2026-11-03: 64
- 2026-11-02: 63
- 2026-11-01: 63
- 2026-10-31: 62

## Common questions

### What is the AI Workflow Feed MCP server?

AI Workflow Feed MCP is listed in the public MCP registry as io.github.quietbranch88/ai-workflow-feed. Discover articles about AI-assisted development and agent workflows. This page covers its hosted endpoint (https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp).

### Is the AI Workflow Feed MCP server safe to use?

AI Workflow Feed MCP scores 65 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AI Workflow Feed MCP server expose?

AI Workflow Feed MCP exposes 3 tools: list_sources, recent_posts, daily_snapshot. Their descriptions and schemas cost roughly 211 tokens of context every time the server is loaded.

### Does the AI Workflow Feed MCP server require authentication?

No. We connected to AI Workflow Feed MCP without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AI Workflow Feed MCP server still maintained?

AI Workflow Feed MCP is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp
- Repository: https://github.com/quietbranch88/ai-workflow-feed-mcp
- Changelog RSS feed: https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp.json
- HTML version of this page: https://verifymcp.io/servers/quietbranch88-ai-workflow-feed/ai-workflow-feed-mcp