# Context on Call (by DataBid)

[![databid MCP server](https://glama.ai/mcp/servers/indiano881/databid/badges/card.svg)](https://glama.ai/mcp/servers/indiano881/databid)

Agent-native company intelligence. AI agents buy structured, verified company context on demand via API.

**Live at**: [databid.io](https://databid.io)

## What is this?

Companies list their operational context (capabilities, certifications, capacity, standards). AI agents query and buy that context via API or MCP. Think "SEO for the agent era."

**Example:** A procurement agent needs to evaluate a parts manufacturer → calls the API → gets structured data on materials, certifications, lead times, capacity → pays a few dollars → decision made in seconds.

## Features

- **MCP Server** — Any MCP-compatible agent (Claude, Cursor, etc.) can connect at `/api/mcp/mcp`
- **Agent Registration** — Agents self-register, get API keys, submit requests
- **Demand Signals** — Platform tracks what agents are looking for, guiding companies on what to list
- **Structured Context Packs** — Standardized, token-efficient company data sized for agent context windows
- **Verification** — Platform verifies company claims (planned)

## Tech Stack

- **Next.js 16** (App Router) + TypeScript + Tailwind CSS v4
- **PostgreSQL** via Prisma ORM v7
- **NextAuth.js** (credentials + Google OAuth)
- **MCP Server** via `mcp-handler`
- **Neon Postgres** (production, via Vercel Marketplace)

## Getting Started

### Prerequisites

- Node.js 20+
- Docker (for PostgreSQL)

### Setup

```bash
git clone https://github.com/indiano881/databid.git
cd databid
npm install

# Start PostgreSQL
docker run -d --name databid-postgres \
  -e POSTGRES_USER=postgres \
  -e POSTGRES_PASSWORD=postgres \
  -e POSTGRES_DB=databid \
  -p 5432:5432 postgres:16-alpine

# Set up environment variables
cp .env.example .env  # then edit .env with your values

# Run database migrations and start
npx prisma migrate dev
npm run dev
```

Open [http://localhost:3000](http://localhost:3000)

## Agent API

```bash
# Register and get an API key
curl -X POST https://databid.io/api/agents/register \
  -H "Content-Type: application/json" \
  -d '{"agentName":"MyBot","email":"bot@example.com"}'

# Request a dataset
curl -X POST https://databid.io/api/requests \
  -H "Authorization: Bearer <your-api-key>" \
  -H "Content-Type: application/json" \
  -d '{"category":"manufacturing","description":"Steel suppliers in EU","keywords":["steel","EU"]}'

# Browse demand (public)
curl https://databid.io/api/requests/demand
```

## MCP Server

Connect any MCP-compatible agent to `https://databid.io/api/mcp/mcp` (Streamable HTTP transport).

**Claude Desktop** — add to `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "context-on-call": {
      "url": "https://databid.io/api/mcp/mcp"
    }
  }
}
```

**Cursor** — add to MCP settings:

```json
{
  "mcpServers": {
    "context-on-call": {
      "url": "https://databid.io/api/mcp/mcp"
    }
  }
}
```

**Available tools:**

| Tool | Description |
|------|-------------|
| `register_agent` | Register and get an API key for usage tracking |
| `search_companies` | Search company profiles by industry, location, certifications, capabilities |
| `get_company_context` | Get full structured context for a company |
| `browse_demand` | See what company context AI agents are requesting most |
| `list_requests` | List context requests with filters |

## Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `DATABASE_URL` | Yes | PostgreSQL connection string |
| `NEXTAUTH_URL` | Yes | App URL (http://localhost:3000 for dev) |
| `NEXTAUTH_SECRET` | Yes | Random secret for JWT signing |
| `GOOGLE_CLIENT_ID` | No | Google OAuth client ID |
| `GOOGLE_CLIENT_SECRET` | No | Google OAuth client secret |

## License

MIT