How to integrate Honeyhive MCP with Hermes

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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 Honeyhive 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 Honeyhive with

What is Composio Connect?

Composio Connect is a consumer offering that lets anyone plug 1,000+ 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 Honeyhive 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 Honeyhive

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

4. Done. You're all set with a new Honeyhive 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 Honeyhive or request any Honeyhive-related task. It will prompt you to authenticate and authorize access.

5. Done!

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

The Honeyhive MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Honeyhive account. It provides structured and secure access to your AI observability platform, so your agent can perform actions like managing datasets, logging model and tool events, evaluating runs, and configuring project settings on your behalf.

  • Dataset management and organization: Create, retrieve, and delete datasets for your AI projects, helping you maintain organized and up-to-date evaluation data.
  • Efficient event logging: Log batches of model or external tool events, enabling comprehensive tracking and analysis of AI system interactions in real-time.
  • Data curation and cleanup: Add new datapoints to datasets or remove specific datapoints, ensuring your evaluation data remains accurate and relevant.
  • Streamlined evaluation workflows: Mark evaluation runs as completed and fetch project configuration details, making it easy to track progress and update run statuses automatically.

Supported Tools & Triggers

Tools
Add datapoints to datasetTool to add datapoints to a dataset.
Compare Experiment RunsTool to retrieve experiment comparison between two evaluation runs.
Compare Runs EventsTool to compare events between two experiment runs side-by-side.
Batch Create DatapointsTool to create multiple datapoints in a single batch operation.
Create Batch Model EventsTool to create multiple model events in a single request.
Create Batch Tool EventsTool to log a batch of external API calls as tool events.
Create ConfigurationCreates a new configuration in HoneyHive for managing LLM or pipeline settings.
Create DatapointTool to create a new datapoint with input-output pairs.
Create DatasetTool to create a dataset.
Create EventTool to create a new event in HoneyHive to track execution of different parts of your application.
Create MetricTool to create a new metric in HoneyHive.
Create Model EventTool to create a new model event to log LLM call data.
Create ToolCreates a new tool definition in a HoneyHive project.
Delete DatapointTool to delete a specific datapoint by its ID.
Delete DatasetTool to delete a dataset by ID.
End Evaluation RunTool to update an evaluation run's status and metadata.
Get ConfigurationsTool to retrieve a list of configurations.
Get DatasetsRetrieve datasets from HoneyHive for a specified project.
Get EventsTool to query events with filters and projections from HoneyHive.
Get Events By Session IDTool to retrieve the complete tree of nested events for a specific session.
Get Events ChartTool to retrieve charting and analytics data for events over time.
Get MetricsRetrieves all metrics associated with a HoneyHive project.
Get ProjectsTool to retrieve all projects in the HoneyHive account.
Get Evaluation Run DetailsTool to get details of an evaluation run by its UUID.
Get Run MetricsTool to get event metrics for an experiment run.
Get Evaluation RunsTool to retrieve a list of evaluation runs from HoneyHive.
Get Runs SchemaTool to retrieve the schema for experiment runs in HoneyHive.
Get SessionRetrieve a complete session tree by session ID from HoneyHive.
List ToolsTool to list all available Honeyhive tools.
Retrieve DatapointRetrieve a specific datapoint by its ID from HoneyHive.
Retrieve DatapointsRetrieve datapoints from a HoneyHive project.
Retrieve EventsRetrieve and export events from a HoneyHive project.
Retrieve Experiment ResultTool to retrieve the result of a specific experiment run.
Start Evaluation RunCreates a new evaluation run to group and track multiple session events for analysis.
Start SessionStart a new HoneyHive session for tracing and observability.
Update ConfigurationTool to update an existing HoneyHive configuration.
Update DatapointUpdate an existing datapoint by ID.
Update DatasetTool to update an existing dataset.
Update EventUpdate an existing HoneyHive event by ID.
Update MetricTool to update an existing metric.
Update ProjectUpdates an existing HoneyHive project's name or description.
Update ToolTool to update an existing tool in HoneyHive.

Way Forward

With Honeyhive 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.

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FAQ

What are the differences in Tool Router MCP and Honeyhive MCP?

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

Can I use Tool Router MCP with Hermes?

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 Honeyhive tools.

Can I manage the permissions and scopes for Honeyhive while using Tool Router?

Yes, absolutely. You can configure which Honeyhive 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.

How safe is my data with Composio Tool Router?

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 Honeyhive data and credentials are handled as safely as possible.

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