# How to integrate Polar Signals MCP with Hermes

```json
{
  "title": "How to integrate Polar Signals MCP with Hermes",
  "toolkit": "Polar Signals MCP",
  "toolkit_slug": "polar_signals_mcp",
  "framework": "Hermes",
  "framework_slug": "hermes-agent",
  "url": "https://composio.dev/toolkits/polar_signals_mcp/framework/hermes-agent",
  "markdown_url": "https://composio.dev/toolkits/polar_signals_mcp/framework/hermes-agent.md",
  "updated_at": "2026-09-06T05:34:49.861Z"
}
```

## 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 Polar Signals 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 Polar Signals MCP with

- [ChatGPT Work](https://composio.dev/toolkits/polar_signals_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/polar_signals_mcp/framework/claude-cowork)

## TL;DR

### 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.

## Connect Polar Signals MCP to Hermes

### Integrating Polar Signals 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
```

## What is the Polar Signals MCP server, and what's possible with it?

The Polar Signals MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Polar Signals account. It provides structured and secure access so your agent can perform Polar Signals operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POLAR_SIGNALS_MCP_LIST_PROJECTS` | List projects | List all projects accessible to the current user. IMPORTANT: Call this FIRST before using any other tools. Returns project IDs and names. You need a project ID for all other tool calls. If only one project is returned, use it automatically. If a project is specified in the user's instructions (e.g. claude.md or system prompt), prefer that one. Otherwise, ask the user which project to use. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_FLAMEGRAPH` | Query profile flamegraph | Return a flame graph as a breadth-first call tree. Each row has id, parent (the parent row's id, -1 = a root), depth, cumulative, flat, function_name — rebuild the tree via the parent pointers. Unsymbolized frames (no function_name) instead carry their hex memory address in an extra 'address' column, shown only when such frames are present. Use this for a top-down picture of where time goes; 'query_profile_table' gives a flat ranked list and 'query_profile_sandwich' focuses on one function. Drill into a subtree with 'focus_path'. Same query syntax as 'query_profile_table'. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_LABELS` | Query profile labels | Get available label names for a specific profile type. Call this after 'profile_types' to discover what labels exist. You MUST use exact profile type strings from 'profile_types' output. Returns label names that can be used with 'values' and in 'query_profile_table' queries - do not invent label names. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_LABEL_VALUES` | Query profile label values | List the values a profiling label takes (e.g. the process names for the 'comm' label). These are label values used to filter queries — not the sampled values of the profile itself. Use it to discover valid filter values; only use label names from 'query_profile_labels'. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_SANDWICH` | Query profile sandwich | Show the calling context around a specific function: which functions call it (callers) and which functions it calls (callees). Use this after 'query_profile_table' to drill into a specific function. The function_name should be an exact function name from 'query_profile_table' results. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_SOURCE` | Query profile source | Retrieve per-line profiling data for a specific source file. Returns line numbers with flat and cumulative sample counts — without returning the source code itself (read the file directly and correlate using line numbers). |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_TABLE` | Query profile table | Query profiling data as a flat table of functions sorted by cumulative time. Recommended workflow: first call 'list_projects', then 'profile_types', then 'labels', then 'values' to discover valid query components. Query syntax: 'profile_type{label="value"}' where all components come from previous tool outputs. With symbolized=false, unsymbolized rows (no function_name) gain an 'address' column carrying their hex memory address. |
| `POLAR_SIGNALS_MCP_QUERY_PROFILE_TYPES` | Query profile types | ProfileTypes returns the list of available profile types. IMPORTANT: Call 'list_projects' first to get a project ID. Profile types follow the format 'name:sample_type:sample_unit:period_type:period_unit[:delta]' (e.g. 'parca_agent:samples:count:cpu:nanoseconds:delta'). You MUST use these exact strings when calling 'labels' or 'query_profile_table' - do not invent or shorten profile type names. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Polar Signals MCP server provides comprehensive access to Polar Signals operations through Composio. Once connected, Hermes can perform all major Polar Signals actions on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### Way Forward
With Polar Signals 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](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=hermes&utm_content=docs) for deeper configuration options.

## How to build Polar Signals MCP Agent with another framework

- [ChatGPT Work](https://composio.dev/toolkits/polar_signals_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/polar_signals_mcp/framework/claude-cowork)

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- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
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- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Polar Signals MCP?

With a standalone Polar Signals MCP server, the agents and LLMs can only access a fixed set of Polar Signals tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Polar Signals 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 Polar Signals tools.

### Can I manage the permissions and scopes for Polar Signals while using Tool Router?

Yes, absolutely. You can configure which Polar Signals 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 Polar Signals data and credentials are handled as safely as possible.

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