> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Scout

> Company intelligence agent that navigates your workspace, builds context, and answers questions.

**Scout is a company intelligence agent that gets smarter as it explores your systems.**

Most AI assistants require you to upload documents or paste context. Scout navigates to the source: it connects to your Slack, Google Drive, databases, and wikis, then builds a knowledge graph of your company as it works.

## How It Works

Scout uses **Context Providers** to connect to your systems and retrieve information on demand:

| Provider     | What It Accesses                              |
| ------------ | --------------------------------------------- |
| Web          | Public URLs, documentation sites              |
| Slack        | Channel history, threads, search              |
| Google Drive | Documents, spreadsheets, presentations        |
| Database     | CRM records, product data                     |
| Wiki         | Internal documentation (Git-backed or Notion) |
| MCP          | Any tool exposed via Model Context Protocol   |

Scout doesn't just search. It **navigates**: following links between systems, resolving references, and building a map of how information connects.

### Self-Building Knowledge

As Scout answers questions, it maintains two internal systems. See [Knowledge & CRM](/tutorials/scout/knowledge-and-crm) for details.

| System   | Purpose                                                                     |
| -------- | --------------------------------------------------------------------------- |
| **Wiki** | Curated facts about your company: org structure, product names, key metrics |
| **CRM**  | People and relationships: who works on what, who to ask about X             |

These start empty and grow with use. Scout learns that "the API" means your REST API, not a generic concept. It learns that Sarah owns billing and Marcus handles infrastructure.

## Run Locally

See [Setup guide](/tutorials/scout/setup) for detailed instructions.

```bash theme={null}
git clone https://github.com/agno-agi/scout.git && cd scout

cp example.env .env
# Edit .env: add OPENAI_API_KEY and configure providers

docker compose up -d --build
```

Confirm Scout is running at `http://localhost:8000/docs`.

### Connect to the Control Plane

1. Open [os.agno.com](https://os.agno.com)
2. Click **Connect OS** → **Local**
3. Enter `http://localhost:8000`

## Deploy to Railway

See [Deploy to Railway](/tutorials/scout/deploy-to-railway) for JWT setup and production configuration.

```bash theme={null}
railway login
./scripts/railway_up.sh
```

The script provisions PostgreSQL, configures environment variables, and deploys Scout.

Then connect via the control plane:

1. Open [os.agno.com](https://os.agno.com)
2. Click **Connect OS** → **Live**
3. Enter your Railway domain

## Configure Providers

Scout's power comes from the providers you connect. Start with one or two, then add more as needed.

### Slack

See [Slack setup](/tutorials/scout/connect-slack) for bot creation and permissions.

```bash theme={null}
# Add to .env
SLACK_BOT_TOKEN=xoxb-...
SLACK_SIGNING_SECRET=...
```

### Google Drive

See [Google Drive setup](/tutorials/scout/connect-google-drive) for service account configuration.

```bash theme={null}
# Add to .env
GOOGLE_SERVICE_ACCOUNT_FILE=/path/to/service-account.json
```

### MCP Servers

See [MCP setup](/tutorials/scout/connect-mcp-servers) for server configuration. Connect any MCP-compatible tool:

```python theme={null}
from agno.tools.mcp import MCPTools

mcp_tools = MCPTools(servers=["npx -y @anthropic/mcp-server-filesystem"])
```

## Example Prompts

Try these after connecting your providers:

* What's the status of Project Phoenix?
* Who should I talk to about billing issues?
* Summarize last week's engineering discussions
* What decisions were made in the Q3 planning doc?

## Source

For setup guides, provider configuration, and architecture details, see the [GitHub repo](https://github.com/agno-agi/scout).