# How to connect Polar Signals to Grok Bot

```json
{
  "title": "How to connect Polar Signals to Grok Bot",
  "toolkit": "Polar Signals MCP",
  "toolkit_slug": "polar_signals_mcp",
  "framework": "Grok Bot",
  "framework_slug": "grok-bot",
  "url": "https://composio.dev/toolkits/polar_signals_mcp/framework/grok-bot",
  "markdown_url": "https://composio.dev/toolkits/polar_signals_mcp/framework/grok-bot.md",
  "updated_at": "2026-11-11T06:00:57.922Z"
}
```

## Introduction

Grok is xAI's assistant, and its bot builder lets you create a personal agent that holds context, runs skills, and connects to the apps you already use through plugins.
This guide explains how to connect Polar Signals to a Grok bot using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a plugin, authenticate once, then ask your bot to work with Polar Signals in plain language.

## Also integrate Polar Signals MCP with

- [ChatGPT](https://composio.dev/toolkits/polar_signals_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/polar_signals_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/polar_signals_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/polar_signals_mcp/framework/atomic-agent)

## TL;DR

Composio exposes 1,700+ apps to your Grok bot through a single connection, so you get:
- Connect to 1,700+ apps with on-demand tool loading, so you do not fill your context window with unnecessary tool definitions.
- Use programmatic tool calling through a remote workbench, letting the model write its own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
- Handle large tool responses outside the model context to keep conversations lean.

## Connect Polar Signals MCP to Grok Bot

### Connecting Polar Signals to Grok Bot
Once Grok Bot is set up, you connect Polar Signals entirely from its interface, and the whole flow takes under a minute.
### Set up Grok Bot
Get access. Grok Bot is included with Cursor Ultra, Cursor Premium Teams, and SuperGrok Heavy. Get the desktop app for macOS or Windows from [x.ai/bot](https://x.ai/bot) and sign in. An iPhone companion app is also available, and your bots sync across devices.
Create a bot. Pick a suggested role or define your own, then give it a short name, one primary job, and a short description of how it should work. Focused bots work best, because a clear role gives the bot more useful context over time.
### Connect Polar Signals
### 1. Add the Composio plugin
Click the button. The Composio listing on x.ai opens and launches Grok Bot for you. If the app does not open on its own, click Add to Grok Bot.
[Add to Grok Bot](https://x.ai/bot/plugin/32661537)
Grok Bot opens the Composio plugin, showing its connector and skills. Click Add.
### 2. Authenticate
Go to the Installed section and click the Composio entry. You'll see its connector and skills listed.
Click Authenticate. You'll be taken to the Composio consent screen. Review the access it requests and click Authorize. Composio handles the OAuth handshake for you, so you never touch API keys or tokens.
### 3. Connect your Polar Signals account
Back in the chat, ask your bot to connect to Polar Signals or give it any Polar Signals task.
For example, ask it to:
- "Summarize top CPU hotspots last week"
- "List regressions across releases for auth-service"
- "Create optimization checklist for auth-service hotspots"
It will prompt you to authenticate and authorize access.
That's it. Composio's tools are now available in your Grok bot, and your Polar Signals account is ready to use.

## What is Grok Bot?

Grok is xAI's assistant, available as a chat interface and a bot builder for creating personal agents that run skills and connect to external apps.
With Composio Connect, your Grok bot can securely access apps like Polar Signals through MCP without you sharing account credentials directly with the agent.

## 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 to your continuous profiling projects and performance data, so your agent can list projects, explore profile types and labels, analyze flame graphs, inspect function relationships, and identify optimization opportunities on your behalf.
- Project and profile discovery: Have your agent list accessible projects and find the profile types available for performance analysis.
- Flame graph analysis: Let the agent query flame graphs as call trees to investigate where applications spend their time.
- Function performance ranking: Direct your agent to compare functions in a flat table sorted by cumulative time and spot likely optimization targets.
- Caller and callee inspection: Instruct your agent to examine which functions call a chosen function and which functions it calls.
- Label and source analysis: Have your agent explore profile labels and their values, then retrieve per-line profiling data for a specific source file.

## 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

Once connected, your Grok bot can access the Polar Signals MCP server through Composio to run the actions you authorize, using plain language in the chat.

## Complete Code

None listed.

## Conclusion

### Way Forward
Now that Polar Signals is connected, extend your setup by connecting the other apps you already use every day, so your Grok bot can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, your bot can coordinate multiple tools safely and reliably in one conversation.

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

- [ChatGPT](https://composio.dev/toolkits/polar_signals_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/polar_signals_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/polar_signals_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/polar_signals_mcp/framework/atomic-agent)

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## 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 Grok Bot?

Yes, you can. Grok Bot 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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