Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Discover articles about AI-assisted development and agent workflows.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcpEjecuta esto en tu terminal
claude mcp add --transport http ai-workflow-feed https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"ai-workflow-feed": {
"url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"ai-workflow-feed": {
"type": "http",
"url": "https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://ai-workflow-feed-mcp.zoelinebot2026.workers.dev/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Nombres y descripciones de las herramientas tal como los informó el servidor el 6 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
list_sourcesList 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_postsGet 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_snapshotRead 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.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub quietbranch88, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 183 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 3 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 3 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 7 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Asset Notation
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
| 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.
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.
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.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.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.
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.
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.
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。
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.
MIT. See LICENSE.