databid
Agent-native company intelligence. AI agents search and retrieve structured, verified company context (certifications, capabilities, capacity, lead times) for manufacturing & supply chain via 5 MCP tools.
README
Context on Call (by DataBid)
Agent-native company intelligence. AI agents buy structured, verified company context on demand via API.
Live at: 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
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
Agent API
# 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:
{
"mcpServers": {
"context-on-call": {
"url": "https://databid.io/api/mcp/mcp"
}
}
}
Cursor — add to MCP settings:
{
"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
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