Pipeless Recommendations MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Pipeless Recommendations MCP or direct API to query activity feeds, generate personalized recommendations, update user preferences, and export recommendation analytics through natural language.

Pipeless Recommendations logoPipeless Recommendations
Api Key

Pipeless Recommendations is a graph-based activity feed and personalization service. Use it to generate real-time, personalized recommendations from your application events.

10 Tools

Try Pipeless Recommendations now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Pipeless Recommendations
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TOOLS

Supported Tools

Every Pipeless Recommendations action and event your agent gets out of the box.

Create Event

Record one typed relationship event for Pipeless activity and recommendation algorithms.

Create Events Batch

Record 1 to 10 relationship events in one Pipeless request.

Delete Event

Delete event records matching an exact start object, relationship type and timestamp, and end object.

List Activity Feed

Return one cursor-controlled chronological page of actions by objects followed by a specified object.

List Object Activity

Return one cursor-controlled page of incoming or outgoing relationship activity involving a specific object.

List Recent Events

Return the most recent events sent to the app, up to the requested limit; Pipeless provides no continuation cursor for this read.

List Recommended Content

Return a bounded personalized list of content recommendations for an object using configurable positive, negative, tag, author, follow, and dismissal signals.

List Related Content

Return content objects related to a target content object using optional tag and collaborative-interaction signals.

List Users To Follow

Return a bounded personalized list of user or account objects that the specified object may want to follow.

Rank Content

Rank a supplied set of content IDs for an object and report which IDs Pipeless could rank.

SETUP GUIDE

Connect Pipeless Recommendations MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for Pipeless Recommendations
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect Pipeless Recommendations API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute Pipeless Recommendations Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Pipeless Recommendations actions with your Agent

Why Use Composio?

AI Native Pipeless Recommendations Integration

  • Supports both Pipeless Recommendations MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Pipeless Recommendations data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Pipeless Recommendations access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Pipeless Recommendations
  • Scoped, least privilege access to Pipeless Recommendations resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Pipeless Recommendations with any AI Agent Framework

Choose a Framework you want to connect Pipeless Recommendations with

FAQ

Frequently asked questions

Yes, Pipeless Recommendations requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Start with Pipeless Recommendations.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Pipeless Recommendations tool your agent needs.Free to start.

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