agentor vs dbmcp
agentor: Agentor is the fastest way to build and deploy long-running AI agents with durability, observability, and security. It provides features like MCP & tool security, agent-to-agent communication, serverless deployment, observability, and tool search API. With a simple Python API, you can build agents, connect tools, and serve them as APIs or deploy with Celesto.; dbmcp: dbmcp is a single-binary MCP server that connects AI assistants to SQL databases like MySQL, PostgreSQL, and SQLite. It provides a set of MCP tools for database operations and supports both stdio and HTTP transports. The binary is small (~7 MB) with no runtime dependencies.
TL;DR
Build and deploy a weather agent
Connect AI assistants to SQL databases for querying and management
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