avo
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Enables agentic evolutionary search where an autonomous coding agent acts as the variation operator, letting users evolve target implementations by starting runs, receiving step prompts, evaluating worktrees, and submitting or reverting candidate changes.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/wtfwoam8ha for deploy options, or install from https://github.com/gatordevin/avo (see README for MCP config).
2
GitHub
Install from https://github.com/gatordevin/avo and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.