CONNECT APP

Build with Universal Summarizer by Kagi

The Universal Summarizer is an API using powerful LLMs to summarize any content, of almost any format, with unlimited token length!

Artificial Intelligence (AI)

API key

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MCP

Give your agent Universal Summarizer by Kagi tools

Every Universal Summarizer by Kagi action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's Universal Summarizer by Kagi account for each tool call — you store no tokens.

Pipedream Connect

// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": "{project_id}",
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "universal_summarizer_by_kagi",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Summarize Document:
const result = await mcp.callTool({
  name: "universal_summarizer_by_kagi-summarize-document",
  arguments: {
    url: "URL",
    engine: "Summarization Engine",
  },
})

# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
    "Authorization": f"Bearer {access_token}",
    "x-pd-project-id": "{project_id}",
    "x-pd-environment": "production",
    "x-pd-external-user-id": "{external_user_id}",  # any stable ID for this user in your system
    "x-pd-app-slug": "universal_summarizer_by_kagi",
}

async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        tools = await session.list_tools()

        # e.g. run Summarize Document:
        result = await session.call_tool("universal_summarizer_by_kagi-summarize-document", {
            "url": "URL",
            "engine": "Summarization Engine",
        })

MCP guide →

API PROXY

Call the Universal Summarizer by Kagi API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Universal Summarizer by Kagi API with the connected user's credentials attached. You store no tokens and write no refresh logic.

Pipedream Connect

const resp = await pd.proxy.get({
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  accountId: "apn_xxxxxxx",
  url: "https://kagi.com/api/v0/summarize",
})

// Any allowed Universal Summarizer by Kagi endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.

# The path segment is the target URL, URL-safe base64 encoded:
# https://kagi.com/api/v0/summarize

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9rYWdpLmNvbS9hcGkvdjAvc3VtbWFyaXpl?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"

API proxy guide →

SDK

Run Universal Summarizer by Kagi actions from your backend

Connect a user's Universal Summarizer by Kagi account once, then run Summarize Document on their behalf from your own code — TypeScript, Python, or plain HTTP.

Pipedream Connect

import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "universal_summarizer_by_kagi-summarize-document",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    universal_summarizer_by_kagi: { authProvisionId: "apn_xxxxxxx" },
    url: "URL",
    engine: "Summarization Engine",
  },
})

from pipedream import Pipedream

pd = Pipedream(
    client_id="{oauth_client_id}",
    client_secret="{oauth_client_secret}",
    project_id="{project_id}",
    project_environment="production",
)

result = pd.actions.run(
    id="universal_summarizer_by_kagi-summarize-document",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "universal_summarizer_by_kagi": {"authProvisionId": "apn_xxxxxxx"},
        "url": "URL",
        "engine": "Summarization Engine",
    },
)

curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "universal_summarizer_by_kagi-summarize-document",
    "configured_props": {
      "universal_summarizer_by_kagi": { "authProvisionId": "apn_xxxxxxx" },
      "url": "URL",
      "engine": "Summarization Engine"
    }
  }'