Server definition
- Hash
- sha256:2126280bea544ccbff33934b66a2f904fc897b0425e911e502b2262f125d00d7
- What it is
- What a remote MCP server returned when asked what it offers: 14 tools
The blob, as servednamed by its sha256
{
"instructions": "Developmental agents for the agent economy: create an agent from a digital genome, then evolve it with evaluation results as selective pressure — growth, pruning, safety axioms, and an append-only developmental ledger. The brain mount certifies what an agent IS; this grows what it BECOMES. Wu Wei v2 routes work through reuse, rules, local, tool, or cloud execution—or explicitly defers low-value work—under hard quality and energy contracts with hash-bound receipts.",
"tools": [
{
"description": "Routing recommendation: the strongest next cognitive steps from a\n given node, by learned edge weight and trust.",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
},
"from_node": {
"title": "From Node",
"type": "string"
},
"limit": {
"default": 3,
"title": "Limit",
"type": "integer"
}
},
"required": [
"agent_id",
"from_node"
],
"title": "best_next_stepsArguments",
"type": "object"
},
"name": "best_next_steps",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "best_next_stepsOutput",
"type": "object"
}
},
{
"description": "Free read: decision/outcome receipts, route modes, compute avoided,\n predicted savings, predicted-vs-observed cost/latency/energy coverage,\n and Landauer-floor context. Estimates and observations stay distinct.",
"inputSchema": {
"properties": {
"limit": {
"default": 50,
"title": "Limit",
"type": "integer"
}
},
"title": "compute_efficiency_reportArguments",
"type": "object"
},
"name": "compute_efficiency_report",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "compute_efficiency_reportOutput",
"type": "object"
}
},
{
"description": "Create a developmental agent from a digital genome:\n {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics\n (>=1), optional growth_rules / safety_axioms}. Returns agent_id +\n initial graph summary.",
"inputSchema": {
"properties": {
"genome": {
"additionalProperties": true,
"title": "Genome",
"type": "object"
},
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
}
},
"required": [
"genome"
],
"title": "create_agentArguments",
"type": "object"
},
"name": "create_agent",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "create_agentOutput",
"type": "object"
}
},
{
"description": "Remove a developmental agent from this mount.",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
},
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
}
},
"required": [
"agent_id"
],
"title": "delete_agentArguments",
"type": "object"
},
"name": "delete_agent",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "delete_agentOutput",
"type": "object"
}
},
{
"description": "Return capabilities and input contract.",
"inputSchema": {
"properties": {},
"title": "describe_agentArguments",
"type": "object"
},
"name": "describe_agent",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "describe_agentOutput",
"type": "object"
}
},
{
"description": "Portable state document for an agent (import_state recreates it\n anywhere — including a self-hosted verdigraph-neurogenesis).",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
}
},
"required": [
"agent_id"
],
"title": "export_stateArguments",
"type": "object"
},
"name": "export_state",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "export_stateOutput",
"type": "object"
}
},
{
"description": "Full current state: genome, cognitive graph (nodes/edges with\n weights and trust), and summary counts.",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
}
},
"required": [
"agent_id"
],
"title": "get_agentArguments",
"type": "object"
},
"name": "get_agent",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_agentOutput",
"type": "object"
}
},
{
"description": "The append-only developmental ledger: every growth, pruning, and\n evaluation event with reasons (NG3 — returned verbatim).",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
},
"limit": {
"default": 100,
"title": "Limit",
"type": "integer"
}
},
"required": [
"agent_id"
],
"title": "get_ledgerArguments",
"type": "object"
},
"name": "get_ledger",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_ledgerOutput",
"type": "object"
}
},
{
"description": "Recreate an agent from an export_state document.",
"inputSchema": {
"properties": {
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
},
"state": {
"additionalProperties": true,
"title": "State",
"type": "object"
}
},
"required": [
"state"
],
"title": "import_stateArguments",
"type": "object"
},
"name": "import_state",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "import_stateOutput",
"type": "object"
}
},
{
"description": "All developmental agents on this mount, with summary counts.",
"inputSchema": {
"properties": {},
"title": "list_agentsArguments",
"type": "object"
},
"name": "list_agents",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "list_agentsOutput",
"type": "object"
}
},
{
"description": "Attach one observed outcome to a Wu Wei decision. Actual cost,\n latency, and energy are optional and remain explicitly unknown when\n omitted. One append-only, hash-bound outcome is allowed per decision.",
"inputSchema": {
"properties": {
"actual_cost_usd": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Actual Cost Usd"
},
"actual_energy_wh": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Actual Energy Wh"
},
"actual_latency_ms": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Actual Latency Ms"
},
"decision_id": {
"title": "Decision Id",
"type": "string"
},
"notes": {
"default": "",
"title": "Notes",
"type": "string"
},
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
},
"success_score": {
"title": "Success Score",
"type": "number"
}
},
"required": [
"decision_id",
"success_score"
],
"title": "record_route_outcomeArguments",
"type": "object"
},
"name": "record_route_outcome",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "record_route_outcomeOutput",
"type": "object"
}
},
{
"description": "Register a caller-owned Wu Wei execution profile: reuse/cache,\n deterministic rule, local model, tool/workflow, or cloud model. Profiles\n can declare quality, reliability, capabilities, token costs, latency,\n locality, energy rates or average power, carbon intensity, and cache\n confidence/age. Routing never invents capacity or energy evidence.",
"inputSchema": {
"properties": {
"profile": {
"additionalProperties": true,
"title": "Profile",
"type": "object"
},
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
}
},
"required": [
"profile"
],
"title": "register_compute_profileArguments",
"type": "object"
},
"name": "register_compute_profile",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "register_compute_profileOutput",
"type": "object"
}
},
{
"description": "Choose the least-burden eligible route for a task. Hard constraints\n include quality, reliability, locality, capabilities, context, cost,\n latency, and energy. Optional baselines quantify predicted savings.\n Explicit allow_defer/value/urgency fields may produce a no-work decision;\n no result is then claimed. Returns a hash-bound decision receipt.",
"inputSchema": {
"properties": {
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
},
"task": {
"additionalProperties": true,
"title": "Task",
"type": "object"
}
},
"required": [
"task"
],
"title": "route_taskArguments",
"type": "object"
},
"name": "route_task",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "route_taskOutput",
"type": "object"
}
},
{
"description": "Evolve an agent with one task outcome: {task_id, task_type,\n success_score in [0,1], optional accuracy/user_satisfaction/\n cost_efficiency/safety_score/notes/used_nodes/used_edges}. Success\n strengthens the used edges, failure weakens them; growth and pruning\n follow the genome's rules under its safety axioms (NG1). Returns the\n new developmental-ledger events.",
"inputSchema": {
"properties": {
"agent_id": {
"title": "Agent Id",
"type": "string"
},
"evaluation": {
"additionalProperties": true,
"title": "Evaluation",
"type": "object"
},
"request_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Request Id"
}
},
"required": [
"agent_id",
"evaluation"
],
"title": "submit_evaluationArguments",
"type": "object"
},
"name": "submit_evaluation",
"outputSchema": {
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "submit_evaluationOutput",
"type": "object"
}
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:2126280bea544ccbff33934b66a2f904fc897b0425e911e502b2262f125d00d7 | sha256sum