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How to integrate Pipeless Recommendations MCP with Hermes

Connect Hermes to Pipeless Recommendations MCP. List top personalized recommendations for user, recommend next actions based on activity graph, and more using natural language, with authentication handled for you.

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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

Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.

This guide explains the easiest and most robust way to connect your Pipeless Recommendations account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

Also integrate Pipeless Recommendations with

ChatGPTClaude CoworkAtomic Agent

What is Composio Connect?

Composio Connect is a consumer offering that lets anyone plug 1,500+ applications directly into their agent harness — including Hermes. It can:

  • Search and load tools from relevant toolkits on-demand, reducing context usage.
  • Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
  • Manage app authentication end-to-end with zero manual overhead.

Integrating Pipeless Recommendations with Hermes

Using Composio Connect CLI

1. Install the Composio CLI

Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

bash
curl -fsSL https://composio.dev/install | bash
Hermes authenticating with Composio

2. Authenticate

Once the CLI is installed, ask Hermes to authenticate with Composio.

3. Connect to Pipeless Recommendations

Ask your agent to connect to Pipeless Recommendations, or simply request any Pipeless Recommendations-related task. Hermes will prompt you to authenticate and authorize access.

4. Done. You're all set with a new Pipeless Recommendations connection.

Using Composio Connect MCP

1. Get your MCP URL and API Key

Go to dashboard.composio.dev and copy your Connect MCP URL and API key.

Copy MCP URL and API key from Composio dashboard

2. Open the Hermes config file

bash
nano ~/.hermes/config.yaml

3. Add the Composio Connect MCP server

bash
mcp_servers:
  composio:
    url: "https://connect.composio.dev/mcp"
    headers:
      x-consumer-api-key: "YOUR_COMPOSIO_API_KEY"
    connect_timeout: 60
    timeout: 180

Save with Ctrl + O, Enter, then exit with Ctrl + X.

4. Restart your Hermes agent

Once restarted, ask your agent to connect to Pipeless Recommendations or request any Pipeless Recommendations-related task. It will prompt you to authenticate and authorize access.

5. Done!

What is the Pipeless Recommendations MCP server, and what's possible with it?

The Pipeless Recommendations MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pipeless Recommendations account. It provides structured and secure access to your application activity, feeds, and recommendations, so your agent can record events, review activity, recommend content, rank content, and suggest users to follow on your behalf.

  • Event tracking and cleanup: Have your agent record individual or grouped relationship events and remove exact events when they are no longer needed.
  • Activity feed monitoring: Let the agent retrieve chronological activity from followed objects and review incoming or outgoing activity for a specific object.
  • Personalized content recommendations: Direct your agent to suggest content based on positive, negative, tag, author, follow, and dismissal signals.
  • Related content and ranking: Instruct your agent to find content related by tags or shared interactions and rank a supplied set of content for a specific user or object.
  • Follow suggestions and recent activity: Have your agent recommend users or accounts to follow and review the latest events recorded by your application.

Way Forward

With Pipeless Recommendations connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.

From here, you can extend Hermes further:

  • Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
  • Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
  • Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.

If you run into trouble or want to share what you've built, join the community or check out the Docs for deeper configuration options.

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.

FRAMEWORKS

How to build Pipeless Recommendations MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Pipeless Recommendations MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Pipeless Recommendations MCP with Claude Cowork

Atomic Agent logo

Atomic Agent

Use Pipeless Recommendations MCP with Atomic Agent

FAQ

Frequently asked questions

With a standalone Pipeless Recommendations MCP server, the agents and LLMs can only access a fixed set of Pipeless Recommendations tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pipeless Recommendations and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Pipeless Recommendations tools.

Yes, absolutely. You can configure which Pipeless Recommendations scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Pipeless Recommendations data and credentials are handled as safely as possible.

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