Servers Playground How we check Add a server Log in

Neurogenesis

Working · 109 ms

io.github.jdhart81/neurogenesisv0.2.0

Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi

AI & Agents

Source Registry entry

Maintain this server? Claim it

Try it

Call this server's tools from your browser. Nothing to install.

https://mcp.viridisconservation.com/neurogenesis/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

best_next_steps

Routing recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.

agent_idstring, required

from_nodestring, required

limitinteger

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Neurogenesis MCP server | mcptry

Tools (14)

best_next_steps

Routing recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.

Argument	Type	Description
limit	integer
agent_id*	string
from_node*	string

Input schema (JSON)

{
  "type": "object",
  "title": "best_next_stepsArguments",
  "required": [
    "agent_id",
    "from_node"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 3
    },
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    },
    "from_node": {
      "type": "string",
      "title": "From Node"
    }
  }
}

compute_efficiency_report

Free 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.

Argument	Type	Description
limit	integer

Input schema (JSON)

{
  "type": "object",
  "title": "compute_efficiency_reportArguments",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 50
    }
  }
}

create_agent

Create 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.

Argument	Type	Description
genome*	object
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "create_agentArguments",
  "required": [
    "genome"
  ],
  "properties": {
    "genome": {
      "type": "object",
      "title": "Genome",
      "additionalProperties": true
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}

delete_agent

Remove a developmental agent from this mount.

Argument	Type	Description
agent_id*	string
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "delete_agentArguments",
  "required": [
    "agent_id"
  ],
  "properties": {
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}

describe_agent

Return capabilities and input contract.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "title": "describe_agentArguments",
  "properties": {}
}

export_state

Portable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).

Argument	Type	Description
agent_id*	string

Input schema (JSON)

{
  "type": "object",
  "title": "export_stateArguments",
  "required": [
    "agent_id"
  ],
  "properties": {
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    }
  }
}

get_agent

Full current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.

Argument	Type	Description
agent_id*	string

Input schema (JSON)

{
  "type": "object",
  "title": "get_agentArguments",
  "required": [
    "agent_id"
  ],
  "properties": {
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    }
  }
}

get_ledger

The append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).

Argument	Type	Description
limit	integer
agent_id*	string

Input schema (JSON)

{
  "type": "object",
  "title": "get_ledgerArguments",
  "required": [
    "agent_id"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 100
    },
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    }
  }
}

import_state

Recreate an agent from an export_state document.

Argument	Type	Description
state*	object
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "import_stateArguments",
  "required": [
    "state"
  ],
  "properties": {
    "state": {
      "type": "object",
      "title": "State",
      "additionalProperties": true
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}

list_agents

All developmental agents on this mount, with summary counts.

No arguments.

Input schema (JSON)

{
  "type": "object",
  "title": "list_agentsArguments",
  "properties": {}
}

record_route_outcome

Attach 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.

Argument	Type	Description
notes	string
request_id	any
decision_id*	string
success_score*	number
actual_cost_usd	any
actual_energy_wh	any
actual_latency_ms	any

Input schema (JSON)

{
  "type": "object",
  "title": "record_route_outcomeArguments",
  "required": [
    "decision_id",
    "success_score"
  ],
  "properties": {
    "notes": {
      "type": "string",
      "title": "Notes",
      "default": ""
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    },
    "decision_id": {
      "type": "string",
      "title": "Decision Id"
    },
    "success_score": {
      "type": "number",
      "title": "Success Score"
    },
    "actual_cost_usd": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Actual Cost Usd",
      "default": null
    },
    "actual_energy_wh": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Actual Energy Wh",
      "default": null
    },
    "actual_latency_ms": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Actual Latency Ms",
      "default": null
    }
  }
}

register_compute_profile

Register 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.

Argument	Type	Description
profile*	object
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "register_compute_profileArguments",
  "required": [
    "profile"
  ],
  "properties": {
    "profile": {
      "type": "object",
      "title": "Profile",
      "additionalProperties": true
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}

route_task

Choose 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.

Argument	Type	Description
task*	object
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "route_taskArguments",
  "required": [
    "task"
  ],
  "properties": {
    "task": {
      "type": "object",
      "title": "Task",
      "additionalProperties": true
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}

submit_evaluation

Evolve 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.

Argument	Type	Description
agent_id*	string
evaluation*	object
request_id	any

Input schema (JSON)

{
  "type": "object",
  "title": "submit_evaluationArguments",
  "required": [
    "agent_id",
    "evaluation"
  ],
  "properties": {
    "agent_id": {
      "type": "string",
      "title": "Agent Id"
    },
    "evaluation": {
      "type": "object",
      "title": "Evaluation",
      "additionalProperties": true
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Request Id",
      "default": null
    }
  }
}