First-party app
Feedly

Feedly

Read team AI Feeds, folders and boards, search across them, and manage Feedly's enterprise webhooks.

stable ProductivitySecurity & Identity

About

Feedly ships in the w6w first-party pack. It declares 14 actions, 2 health checks, and the host runs its code in a sandbox that never sees the credential.

App id
io.w6w.feedly
Version
0.1.0
Author
w6w
Licence
MIT
Categories
Productivity · Security & Identity

Overview

Feedly’s current public API is entirely the Feedly for Threat Intelligence (Enterprise) surface — every endpoint in this app lives under that product, and a self-service API token is only issued to Enterprise accounts (an admin generates it from https://feedly.com/i/team/api). There is no OAuth2 dance to build against: once an Enterprise team has a token, every call is a plain Authorization: Bearer header against api.feedly.com, so this app is a straightforward bearer-token integration — the gate is commercial (who can get a token), not technical (what the token can do).

Within that surface, this app covers the general content-reading and team-collaboration actions rather than the security-analyst-specific ones (CVE/threat-actor/malware insight cards, the Vulnerability/Cyberattacks/TTP Agents, entity lookups, Ask AI): collecting and searching articles across a team’s AI Feeds, folders and boards, reading one or many articles’ full enriched metadata, adding annotations, managing team boards and webhooks, and listing an enterprise account’s folders, AI Feeds and users.

Build with Feedly

Three routes to the same 14 actions. The Workflow tab is generated from Feedly's own manifest and carries its real ids, so it is copy-pasteable; the Code and CLI examples are the same call for any action on any app, so every app-specific value in them is a blank you fill in.

List AI Feeds

ai-feeds-list

List the enterprise team's AI Feeds (Feedly's internal API name: "alerts").

Annotate Article

article-annotate

Add a comment, and optionally a text highlight, to an article.

Get Article

article-get

Fetch one article's full enriched metadata (entities, summary, sources, …) by id.

Collect Articles

articles-collect

Page through the articles in a team AI Feed, folder or board (a "stream").

Get Multiple Articles

articles-get-multiple

Batch-fetch full metadata for up to 1,000 articles by id in one call.

Search Articles

articles-search

Search for articles across your team's sources using Feedly AI's query language.

Add Article to Board

board-article-add

Add an article to a team board.

Remove Article from Board

board-article-remove

Remove an article from a team board.

List Boards

boards-list

List the enterprise team's boards, including their stream ids and members.

List Enterprise Users

enterprise-users-list

List every user in the enterprise account with their role and activity metrics. Requires the connected token to belong to a team admin.

List Folders

folders-list

List the enterprise team's folders, each with its member feeds.

Delete Webhook

webhook-delete

Delete a configured webhook by id.

Create or Update Webhook

webhook-upsert

Create a new webhook, or update an existing one when an id is given. Feedly sends a test event to the URL immediately.

List Webhooks

webhooks-list

List configured webhooks (NewEntrySaved, NewAnnotation, NewEntryPrioritized).

A workflow step names the app and the action, and the editor fills in the connection when you pick one. This is the Step shape from the workflow spec, carrying Feedly's real ids.

{
  "manifestVersion": "2",
  "name": "feedly-example",
  "steps": [
    {
      "id": "article-annotate",
      "uses": {
        "app": "io.w6w.feedly",
        "action": "article-annotate",
        "connection": "conn_YOUR_CONNECTION_ID"
      },
      "with": {
        "entryId": "<entryId>",
        "comment": "<comment>"
      }
    }
  ]
}

Here are some of the things you can do

  • Annotate Article

    perform
    article-annotate
  • List AI Feeds

    read
    ai-feeds-list
  • Get Article

    read
    article-get
  • Collect Articles

    read
    articles-collect
  • Get Multiple Articles

    read
    articles-get-multiple

+9 more actions available

Every app-specific value here is a blank you have to fill in. An app action is reached through the connection that authenticates it, so the address is a connection id, not the app id — and connections belong to your account, so a public page cannot know yours. Create one for Feedly, then fill in the three blanks: conn_YOUR_CONNECTION_ID, the action key, and the parameters that action declares. The call itself is real — the shape is transcribed from the studio's own snippet builder, which prints the same kind of blanks — but nothing in it is specific to Feedly. The Workflow tab is where this app's real ids are.

Install
npm install @w6w/sdk
yarn add @w6w/sdk
pnpm add @w6w/sdk
deno add npm:@w6w/sdk
Code
import { W6wClient, isActionRun } from "@w6w/sdk";

// Reads W6W_BASE_URL and W6W_TOKEN from the environment when omitted.
const client = new W6wClient();

const envelope = await client.run({
  urn: "conn_YOUR_CONNECTION_ID",
  action: "article-annotate",
  payload: {
    entryId: "<value>",
    comment: "<value>",
    // highlightStart: "<value>",
    // highlightEnd: "<value>",
    // highlightText: "<value>",
  },
});

if (isActionRun(envelope)) console.log(envelope.value);
Install the CLI
npm install -g @w6w/cli
CLI
w6w run conn_YOUR_CONNECTION_ID --action article-annotate --payload '{"entryId":"<value>","comment":"<value>"}'

Give an AI agent Feedly — without giving it Feedly's credentials. One MCP endpoint exposes every app, function and workflow the caller is entitled to, as tools it can discover and run. Access is granted per team while we onboard.

One tool call
{
  "name": "w6w_invoke",
  "arguments": {
    "ref": "app:io.w6w.feedly#article-annotate",
    "input": {
      "entryId": "<entryId>",
      "comment": "<comment>"
    }
  }
}

Every tool names its target with a single ref. The app: form above doesn't name a connection at all — the host resolves which of the caller's Feedly connections to sign with, and refuses rather than guesses when the answer is ambiguous.

What the agent gets

Credentials it can't read

The token is attached host-side, at the moment of the call. It is never a tool argument, never in the model's context, and never in a transcript — so a prompt injection has nothing to exfiltrate.

A tool surface scoped to the caller

Tools are derived per end user from what that person has actually connected and is entitled to — not one shared bot identity carrying the union of everyone's access.

A durable workflow in one call

Multi-step work runs on the workflow engine and returns a run handle the agent can poll — retries, branching and state survive the conversation that started them.

Health-aware discovery

Feedly's declared health checks are on the surface too, so an agent can tell "the vendor is down" from "your credential expired" before it burns a retry on either.

The MCP surface is part of the hosted platform. Feedly itself is MIT, and the runtime that executes it is source-available (FSL).

Request MCP access

Health checks

Feedly declares its own checks, so its health is a property of the app rather than something the host guesses at.

service

Feedly platform status

Resource status from status.feedly.com (Better Stack). The page's single monitored resource explicitly covers "the API" alongside the web and mobile apps.

quota

Monthly request headroom

Calls made this cycle vs. the token's monthly cap, read from the X-RateLimit-* headers Feedly attaches to every response.