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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.

glama
Updated
Apr 4, 2026

Context on Call (by DataBid)

databid MCP server

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

Open http://localhost:3000

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:

ToolDescription
register_agentRegister and get an API key for usage tracking
search_companiesSearch company profiles by industry, location, certifications, capabilities
get_company_contextGet full structured context for a company
browse_demandSee what company context AI agents are requesting most
list_requestsList context requests with filters

Environment Variables

VariableRequiredDescription
DATABASE_URLYesPostgreSQL connection string
NEXTAUTH_URLYesApp URL (http://localhost:3000 for dev)
NEXTAUTH_SECRETYesRandom secret for JWT signing
GOOGLE_CLIENT_IDNoGoogle OAuth client ID
GOOGLE_CLIENT_SECRETNoGoogle OAuth client secret

License

MIT

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