Spin Up AI Agents in Seconds.
Serverless MCP and A2A hosting, built for devs who'd rather ship than babysit infra.
# Deploy your agent
curl -X POST https://botspot.dev/deploy \
-H "Authorization: Bearer $API_KEY" \
-d '{"repo": "github.com/you/agent"}'
# Response
{
"status": "deployed",
"endpoint": "https://you.botspot.dev",
"latency": 8.2
}
Hosting Made Simple
Everything you need to deploy, manage, and scale your agents
1
One-Click Deploys
From Git to running agent in <10 s.
2
Agent-to-Agent Native
First-class A2A routing, queueing & auth.
3
Obs-in, Logs-out
Built-in traces, Prometheus metrics, webhook alerts.
Model Context Protocol
The standardized interface for AI agents to share context
Why MCP matters
- Standardized way to connect AI models to data & tools
- Flexibility to switch between LLM providers
- Client-server architecture with resource discovery
- Secure data access within your infrastructure
Agent-to-Agent (A2A) Protocol
A new era of agent interoperability
The Future of AI Collaboration
A2A enables seamless collaboration between AI agents, allowing them to work together to complete complex tasks that no single agent could accomplish alone.
- Standardized communication protocol
- Agent capability discovery and negotiation
- Secure, reliable message passing
- Cross-platform agent collaboration
Research Agent
Data Analysis Agent
Report Generator
Simple Commands, Powerful Results
Deploy, query, and scale your agents with just a few lines of code.
Deploy
Query
Scale
# Deploy from GitHub
botspot deploy github.com/acme/weather-agent
# Or from local directory
botspot deploy . --name my-agent
# With environment variables
botspot deploy . --env API_KEY=$SECRET --env MODE=production# Query your agent
curl https://my-agent.botspot.dev/v1/query \
-H "Content-Type: application/json" \
-d '{"action": "getWeather", "params": {"city": "SF"}}'
# Use the SDK
const agent = new BotSpotClient('my-agent');
const weather = await agent.query({ city: 'SF' });# Scale horizontally
botspot scale my-agent --replicas 10
# Set auto-scaling rules
botspot autoscale my-agent \
--min 2 --max 50 \
--metric cpu --target 70
# View metrics
botspot metrics my-agent --last 24h