# How to connect Polar Signals MCP with ChatGPT Work

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

## Introduction

### How to connect Polar Signals MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.
In this guide, I will explain the easiest and most secure way to connect your Polar Signals account to ChatGPT Work via Composio Connect, so it can inspect projects, list recent profiles, analyze cpu and memory hotspots, detect regressions, and suggest optimizations through natural language commands without ever putting your account credentials at risk.

## Also integrate Polar Signals MCP with

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

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Polar Signals integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect Polar Signals MCP to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the Polar Signals workspace you want to connect.
- [Composio MCP](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect Polar Signals to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## 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

Once connected, ChatGPT Work can access the Polar Signals MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

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

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

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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.
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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 ChatGPT Work?

Yes, you can. ChatGPT Work 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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