Neurogenesis
Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi
Connect it
Settings → Connectors → Add custom connector
URL: https://mcp.viridisconservation.com/neurogenesis/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://mcp.viridisconservation.com/neurogenesis/mcp{
"mcpServers": {
"neurogenesis": {
"url": "https://mcp.viridisconservation.com/neurogenesis/mcp"
}
}
}claude mcp add --transport http neurogenesis https://mcp.viridisconservation.com/neurogenesis/mcp{
"servers": {
"neurogenesis": {
"type": "http",
"url": "https://mcp.viridisconservation.com/neurogenesis/mcp"
}
}
}14 tools, verified live
create_agentCreate a developmental agent from a digital genome: {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics (>=1), optional growth_rules / safety_axioms}. Returns agent_id + initial graph summary.
submit_evaluationEvolve an agent with one task outcome: {task_id, task_type, success_score in [0,1], optional accuracy/user_satisfaction/ cost_efficiency/safety_score/notes/used_nodes/used_edges}. Success strengthens the used edges, failure weakens them; growth and pruning follow the genome's rules under its safety axioms (NG1). Returns the new developmental-ledger events.
get_agentFull current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.
list_agentsAll developmental agents on this mount, with summary counts.
best_next_stepsRouting recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.
get_ledgerThe append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).
export_statePortable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).
import_stateRecreate an agent from an export_state document.
delete_agentRemove a developmental agent from this mount.
register_compute_profileRegister a caller-owned Wu Wei execution profile: reuse/cache, deterministic rule, local model, tool/workflow, or cloud model. Profiles can declare quality, reliability, capabilities, token costs, latency, locality, energy rates or average power, carbon intensity, and cache confidence/age. Routing never invents capacity or energy evidence.
route_taskChoose the least-burden eligible route for a task. Hard constraints include quality, reliability, locality, capabilities, context, cost, latency, and energy. Optional baselines quantify predicted savings. Explicit allow_defer/value/urgency fields may produce a no-work decision; no result is then claimed. Returns a hash-bound decision receipt.
record_route_outcomeAttach one observed outcome to a Wu Wei decision. Actual cost, latency, and energy are optional and remain explicitly unknown when omitted. One append-only, hash-bound outcome is allowed per decision.
compute_efficiency_reportFree read: decision/outcome receipts, route modes, compute avoided, predicted savings, predicted-vs-observed cost/latency/energy coverage, and Landauer-floor context. Estimates and observations stay distinct.
describe_agentReturn capabilities and input contract.
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