CONNECT APP

Build with Algomo

Multilingual Customer Service, powered by Generative AI

Artificial Intelligence (AI)

API key

Visit Algomo ↗ Start building

MCP

Give your agent Algomo tools

Every Algomo 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 Algomo 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": "algomo",
      },
    },
  },
)

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

const { tools } = await mcp.listTools()

// e.g. run Send Message To Chatbot:
const result = await mcp.callTool({
  name: "algomo-send-message-to-chatbot",
  arguments: {
    messageText: "Message Text",
    conversationId: "Conversation ID",
  },
})

# 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": "algomo",
}

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 Send Message To Chatbot:
        result = await session.call_tool("algomo-send-message-to-chatbot", {
            "messageText": "Message Text",
            "conversationId": "Conversation ID",
        })

MCP guide →

API PROXY

Call the Algomo API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Algomo 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://app.algomo.com/api/v2/external/api-access/get-bot-response",
})

// Any allowed Algomo 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://app.algomo.com/api/v2/external/api-access/get-bot-response

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcHAuYWxnb21vLmNvbS9hcGkvdjIvZXh0ZXJuYWwvYXBpLWFjY2Vzcy9nZXQtYm90LXJlc3BvbnNl?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 Algomo actions from your backend

Connect a user's Algomo account once, then run Send Message To Chatbot 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: "algomo-send-message-to-chatbot",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    algomo: { authProvisionId: "apn_xxxxxxx" },
    messageText: "Message Text",
    conversationId: "Conversation ID",
  },
})

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="algomo-send-message-to-chatbot",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "algomo": {"authProvisionId": "apn_xxxxxxx"},
        "messageText": "Message Text",
        "conversationId": "Conversation ID",
    },
)

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": "algomo-send-message-to-chatbot",
    "configured_props": {
      "algomo": { "authProvisionId": "apn_xxxxxxx" },
      "messageText": "Message Text",
      "conversationId": "Conversation ID"
    }
  }'