# BrainGraph

```json
{
  "name": "BrainGraph",
  "slug": "brain_graph",
  "url": "https://composio.dev/toolkits/brain_graph",
  "markdown_url": "https://composio.dev/toolkits/brain_graph.md",
  "logo_url": "https://logos.composio.dev/api/brain_graph",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T15:34:19.735Z"
}
```

![BrainGraph logo](https://logos.composio.dev/api/brain_graph)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with BrainGraph MCP or direct API to ingest documents, search and retrieve graph nodes, summarize linked content, and create or update knowledge nodes through natural language.

## Summary

BrainGraph builds a searchable knowledge graph from documents, recordings, web pages, and other source material.
It provides structured, grounded knowledge to improve AI reasoning and retrieval.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 10

## Images

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

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for BrainGraph.
  - Setup:
    - Configure Api Key credentials for BrainGraph.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Search graph for onboarding process docs
- Summarize meeting recordings from last week
- Find citations for product architecture decisions

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BRAIN_GRAPH_GET_DOCUMENT_PROGRESS` | Get Document Progress | Get the current transcription, processing, and analysis status for a BrainGraph document. Poll until transcript.status is analyzed; analysis is null while processing is incomplete. |
| `BRAIN_GRAPH_INGEST_WEB_PAGE` | Ingest Web Page | Fetch readable content from a public web page and queue it for BrainGraph ingestion. This creates persistent data and consumes upload and URL-submission quota. After a timeout or other ambiguous failure, check for the document before retrying to avoid a duplicate and additional quota use. |
| `BRAIN_GRAPH_INGEST_YOUTUBE_VIDEO` | Ingest YouTube Video | Submit a YouTube video for metadata, transcript, and speaker processing; the result may only confirm that processing was queued. This creates persistent data and consumes upload and URL-submission quota. After a timeout or incomplete stream, check for the document before retrying to avoid a duplicate and additional quota use. |
| `BRAIN_GRAPH_LIST_BRAINS` | List Brains | List the connected BrainGraph account's knowledge brains and identify the default brain for filtering or targeting other tools. |
| `BRAIN_GRAPH_LIST_DOCUMENTS` | List Documents | List BrainGraph documents newest first, optionally filtering by filename or notes, failed ingestion status, and brain. Returns one page at a time. |
| `BRAIN_GRAPH_LIST_PATTERNS` | List Graph Patterns | Find recurring relationship-chain patterns in the connected BrainGraph knowledge graph, subject to a minimum occurrence count. |
| `BRAIN_GRAPH_RESOLVE_ENTITY` | Resolve Entity | Resolve an entity name to a canonical BrainGraph record. If there is no single match, return an explicit ambiguous or not-found result rather than treating it as an HTTP error. |
| `BRAIN_GRAPH_SEARCH_BRAIN` | Search Brain | Search facts in the connected account's BrainGraph knowledge graph using a natural-language question, optionally restricted to selected brains. |
| `BRAIN_GRAPH_TRANSCRIBE_AUDIO` | Transcribe Audio | Upload an audio file or submit a direct public audio URL for diarized transcription and graph ingestion. This creates persistent data and consumes upload and transcription allowance. Do not retry automatically after an ambiguous failure because a retry can create a duplicate document. |
| `BRAIN_GRAPH_UPLOAD_DOCUMENT` | Upload Document | Upload a document file supplied by the caller or plain text and queue it for BrainGraph ingestion. This creates persistent data and consumes the account's upload allowance. After a timeout or other ambiguous failure, check for the document before retrying to avoid a duplicate and additional quota use. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to BrainGraph
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["brain_graph"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["brain_graph"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run BrainGraph tools with your agent

Send a request, execute the BrainGraph tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Search the knowledge graph for 'onboarding process' and summarize key steps"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Search the knowledge graph for 'onboarding process' and summarize key steps" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to BrainGraph and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["brain_graph"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["brain_graph"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a BrainGraph request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to BrainGraph tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Search the knowledge graph for 'onboarding process' and summarize key steps")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Search the knowledge graph for 'onboarding process' and summarize key steps",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native BrainGraph Integration

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

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke BrainGraph 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 BrainGraph
- Scoped, least privilege access to BrainGraph resources
- Full audit trail of agent actions to support review and compliance

## Use BrainGraph with any AI Agent Framework

Choose a framework you want to connect BrainGraph with:

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

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## Frequently Asked Questions

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

Yes, BrainGraph requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling 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)