# Octagon MCP

```json
{
  "name": "Octagon MCP",
  "slug": "octagon_mcp",
  "url": "https://composio.dev/toolkits/octagon_mcp",
  "markdown_url": "https://composio.dev/toolkits/octagon_mcp.md",
  "logo_url": "https://logos.composio.dev/api/octagon_mcp",
  "categories": [
    "finance & accounting"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-05T05:37:01.779Z"
}
```

![Octagon MCP logo](https://logos.composio.dev/api/octagon_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Octagon MCP or direct API to search SEC filings, summarize earnings transcripts, fetch financial metrics, and analyze prediction-market signals through natural language.

## Summary

Octagon MCP is a market intelligence service providing SEC filings, earnings transcripts, and private- and public-market data.
Use it for deep financial research, stock metrics, and prediction-market analysis.

## Categories

- finance & accounting

## Toolkit Details

- Tools: 4

## Images

- Logo: https://logos.composio.dev/api/octagon_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for Octagon MCP.
  - Setup:
    - Configure Dcr Oauth credentials for Octagon MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize latest SEC filings for Tesla
- Extract revenue trends from earnings transcripts
- List top prediction market moves for AAPL

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OCTAGON_MCP_OCTAGON_AGENT` | Octagon-agent | Orchestrates all agents for comprehensive market intelligence analysis. Capabilities: Combines insights from SEC filings, earnings calls, financial metrics, stock data, institutional holdings, private company research, funding analysis, M&A transactions, investor intelligence, debt analysis, and news and press releases to provide holistic market intelligence. Best for: Complex research requiring multiple data sources and comprehensive analysis across public and private markets. Example queries: 'Retrieve year-over-year growth in key income-statement items for AAPL, limited to 5 records and filtered by period FY', 'Analyze the latest 10-K filing for AAPL and extract key financial metrics and risk factors', 'Retrieve the daily closing prices for AAPL over the last 30 days', 'Analyze AAPL's latest earnings call transcript and extract key insights about future guidance', 'Provide a comprehensive overview of Stripe, including its business model and key metrics', 'Retrieve the funding history for Stripe, including all rounds and investors' |
| `OCTAGON_MCP_OCTAGON_DEEP_RESEARCH_AGENT` | Octagon-deep-research-agent | A comprehensive agent that can utilize multiple sources for deep research analysis. Capabilities: Aggregate research across multiple data sources, synthesize information, and provide comprehensive investment research. Best for: Investment research questions requiring up-to-date aggregated information from the web. Example queries: 'Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins', 'Analyze the competitive landscape in the cloud computing sector, focusing on AWS, Azure, and Google Cloud margin and growth trends', 'Investigate the factors driving electric vehicle adoption and their impact on battery supplier financials' |
| `OCTAGON_MCP_OCTAGON_PREDICTION_MARKETS_AGENT` | Octagon-prediction-markets-agent | A specialized agent for creating research reports on Kalshi events (Polymarket coming soon). See what's driving prices, compare market vs model probabilities, and find potential mispricings. Note: It's recommended to attempt to retrieve a cached report first as new reports may take several minutes to generate. Example queries: 'https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100', 'https://kalshi.com/markets/kxnbawest/nba-western-conference-championship/kxnbawest-26', 'https://kalshi.com/markets/kxtrdban/congress-banned-from-trading-stocks/kxtrdban-25dec31' |
| `OCTAGON_MCP_PREDICTION_MARKETS_HISTORY` | Prediction markets history | Fetch historical data for a prediction market event by ticker. Supports pagination (limit, cursor) and time window (captured_from, captured_to) and optionally include analysis columns. Note: For a typical Kalshi Market URL, the event ticker is the final segment in the URL. For example, for the URL https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100, the event ticker is kxbtcy-27jan0100. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Octagon MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Octagon MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Octagon MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Octagon MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Octagon MCP Integration

- Supports both Octagon MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Octagon MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Octagon MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Octagon MCP
- Scoped, least privilege access to Octagon MCP resources
- Full audit trail of agent actions to support review and compliance

## Use Octagon MCP with any AI Agent Framework

Choose a framework you want to connect Octagon MCP with:

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

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## Frequently Asked Questions

### Do I need my own developer credentials to use Octagon MCP with Composio?

Yes, Octagon MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)