Tiger Cloud per Tiger CLI und MCP an den eigenen AI-Agenten anbinden
Im Rahmen des Global Hack Week Hacktoberfest ist ein Setup entstanden, das Tiger Cloud als agentenfähige Datenbank bereitstellt. Dazu wurde Tiger CLI v0.26.0 unter Windows installiert und über das Model Context Protocol angebunden.
For Global Hack Week: Hacktoberfest I completed the Tiger challenge: Integrate Tiger Cloud with your AI Agent with the Tiger CLI and MCP.
Not an app — an agent-ready database setup:
"tiger": { "command": [ "tiger", "mcp", "start" ], "type": "local", "enabled": true } Enter fullscreen mode Exit fullscreen mode Restarted the agent so the tiger MCP server loads ( service_list, service_get, db_query, db_schema, search_docs, view_skill, + hypertable skills) Why MCP + CLI CLI = explicit, scriptable control ( tiger service create/list, tiger db query/psql ) MCP = same operations as typed tools for the agent, plus docs search and best-practice skills (schema design, hypertable setup, migration planning) Both share one login, so anything I do in terminal the agent can do too How I verified tiger mcp list shows 30 tools/prompts tiger db schema connects to the new service Dashboard shows the service READY: https://console.cloud.tigerdata.com/dashboard/services/pphbkrfp6g Submitted to GHW: Hacktoberfest challenge with dashboard + CLI screenshots Takeaway One binary gives you both interfaces. If you use OpenCode/Cursor/Claude Code and your client isn't in tiger mcp install, manual config with tiger mcp start works fine. For shared/prod DBs, consider tiger config set read_only prod.
Built for GHW Hacktoberfest 2026. Service: ghw-hacktoberfest-agent-db on Tiger Cloud.