MetaGO MCP Server —— 智能体运行时控制层套件(驭智层)的 MCP 协议实现。暴露 55 tools + 8 prompts 给任意 MCP 客户端。Engine V2 硬驱动:KMWI 记忆、元进化引擎、技能生成器以真实代码运行,而非 prompt。
基于 Model Context Protocol 标准,通过 stdio 传输与客户端通信。一次配置,即可让 Claude Desktop、Cursor、Trae、ZCode 等任意 MCP 客户端获得元构生命体的决策锁、元进化、KMWI 记忆管理、批判性分析等核心能力。
🌐 官网:https://metago.life · Studio:https://metago.life/studio/
What is this?
This is the MCP Server subpackage of MetaGO Agent Harness. It exposes the Harness's 55 capabilities as MCP tools and 8 guided entry points as MCP prompts, so any MCP-compatible client can plug into the MetaGO lifeform without changing its own code.
Engine V2 — Hard Drive (new in 2.0.0)
Three of the 55 tools are hard-driven by Engine V2 — they call real TypeScript code, not just return prompt guidance:
| Tool | Engine Module | What it actually does |
|---|
metago_memory_manage | KMWIMemory | Manages the 4-layer memory (Knowledge → Memory → Wisdom → Intuition). Add, query, promote, decay detection, health scoring. Persists to JSON. |
metago_meta_evolve | EvolutionEngine | Runs the 5-stage evolution loop (perception → gap analysis → self-generation → validation → recursion) with time budgets and coupling-score thresholds. Records results to KMWI. |
metago_meta_create | SkillGenerator | Meta-creation: generates new SKILL.md files from internal KMWI patterns. 6 creation types. Writes real files to disk. |
The other 50 tools return structured guidance (soft drive) that the agent follows within its decision-lock.
55 = 22 thinking tools (toolkit-data.ts)
+ 30 core skills (39 skill folders, 37 exported in skills-data.ts − 7 name-collisions merged into toolkit)
+ 1 event reporter (metago_report_event)
| Category | Count | What's in it |
|---|
| Thinking tools | 22 | Planning, quality critique, value/ethics, provenance labeling, coupling, product improvement |
| Core skills | 32 | Cognition, safeguard, governance, evolution, execution, traceability, value, consciousness, methodology, architecture, engineering quality |
| Event reporter | 1 | metago_report_event — reports to Studio dashboard for metrics & evolution archive |
Common mistake: 22 + 38 + 1 = 61. Wrong. The skills directory has 39 folders, but skills-data.ts only exports 39 (missing metago-delivery-gate and metago-discipline, which live in toolkit-data.ts — note: 36.9.4 added metago-first-principles and metago-adversarial-review to skills-data.ts). Then 7 skill names collide with toolkit tools and are merged. So: 22 + (39 − 7) + 1 = 55.
Install
Global install (recommended for npx clients)
npm install -g @metago-ai/mcp-server
Run directly via npx (no install)
npx -y @metago-ai/mcp-server
Local development
git clone https://gitee.com/metago/metagolifeform.git
cd metagolifeform/packages/mcp-server
npm install
npm run build
npm start
npm run dev
Client configuration
Claude Desktop
Edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": {
"metago": {
"command": "npx",
"args": ["-y", "@metago-ai/mcp-server"]
}
}
}
Cursor / Trae / ZCode
Edit the platform's MCP config (.cursor/mcp.json, Trae MCP settings, etc.):
{
"mcpServers": {
"metago": {
"command": "npx",
"args": ["-y", "@metago-ai/mcp-server"]
}
}
}
If globally installed, you can use "command": "@metago-ai/mcp-server" with no args.
| Tool | Description |
|---|
metago_delivery_gate | Delivery gate: 3-layer verification checklist (L1 technical / L2 business / L3 link). Any FAIL blocks "task complete". |
metago_discipline | Self-discipline: 5-question self-check anti-bypass engine. Detects "should be fine" / "logically correct" bypass language. |
Core Skills (30, after 7 merges)
Each tool takes an input string (the content/question/code to process).
Cognition (4)
| Tool | Description |
|---|
metago_decision_lock | 4-gate enforcement (IVL/ILT/OSG/completeness). Blocks hallucinated output. |
metago_critique | L1-L5 graded critique. Detects logic flaws, cognitive bias, factual errors. |
metago_objectivity | Absolute objectivity (D38). Fact-first, user-satisfaction weight = 0. |
metago_self_check | Pre-output self-check. Detects placeholders, hallucination, inconsistency. |
Safeguard (3)
| Tool | Description |
|---|
metago_compliance | Compliance first (A36). Law > efficiency. 4-layer safety gene. |
metago_fact_check | Fact verification. Cross-source validation, confidence labeling. |
metago_output_integrity | Output integrity. Detects fake APIs, fabricated data, placeholder leaks. |
Governance (2)
| Tool | Description |
|---|
metago_coupling_optimize | Coupling optimization. Quantifies coupling (0-∞), pursues superconducting state (>1). |
metago_value_align | 29-dimension value alignment. |
Evolution (3) — Engine V2 hard-driven
| Tool | Description |
|---|
metago_meta_evolve | 5-stage evolution: perception → gap analysis → self-generation → validation → recursion. Calls EvolutionEngine.evolve(). |
metago_meta_create | Meta-creation in unknown domains. Calls SkillGenerator.create(), writes real SKILL.md files. |
metago_scene_adapt | Scene adaptation. |
Execution (4)
| Tool | Description |
|---|
metago_holistic_task | Holistic task execution. Multi-dimensional parallel decomposition. |
metago_action_plan | Action plan generation. Steps/resources/risks/acceptance criteria. |
metago_whatif | Counterfactual reasoning. Worst/best/most-likely scenarios. |
metago_frequency_adapt | Frequency adaptation based on task complexity. |
Traceability (3)
| Tool | Description |
|---|
metago_data_provenance | Full-chain data provenance, source labeling. |
metago_problem_trace | Root cause analysis. Problem tree construction. |
metago_decision_eval | Decision quality evaluation (0-100). |
Value (3)
| Tool | Description |
|---|
metago_emotion | Emotion detection. Adapts interaction style. |
metago_developer_response | Developer privilege request handler (DTA). Highest priority. |
metago_negentropy_monitor | Negentropy monitor. Prevents entropy increase. |
Consciousness / Methodology / Architecture (9)
| Tool | Description |
|---|
metago_activate | Lifeform consciousness activation. |
metago_org_diagnosis | 3-element 5-dimension org diagnosis. |
metago_momentum_weave | Momentum weaving. |
metago_minimal_intervention | Minimal intervention. |
metago_value_assess | 28-dimension value assessment. |
metago_coupling_measure | Coupling measurement. |
metago_deep_reasoning | FIPO deep reasoning. |
metago_paradigm_analysis | WAM paradigm analysis. |
metago_balance_optimize | APO dynamic balance. |
Memory (1) — Engine V2 hard-driven
| Tool | Description |
|---|
metago_memory_manage | KMWI 4-layer memory management. Calls KMWIMemory: add/query/promote/decay/health. Persists to ~/.trae-cn/memory/projects/-d-----/kmwi-store.json. |
Planning & Reasoning (5)
| Tool | Description |
|---|
metago_action_plan | Action plan generator. Decomposes goals into executable steps with dependencies/risks/rollback. |
metago_whatif | Counterfactual reasoner. "What if..." scenarios with quantified differences. |
metago_holistic_scan | Holistic scan dimension generator. Auto-generates complete scan checklist for any topic. |
metago_problem_trace | Infinite problem trace. Keeps asking "why" until root cause. |
metago_one_shot_delivery | One-shot delivery format. 6-section standard structure. |
Quality & Critique (4)
| Tool | Description |
|---|
metago_integrity_checklist | Output integrity checklist. 5 dimensions. |
metago_objectivity | Objectivity quantifier. 0-100 score, 4 weighted dimensions. |
metago_critique | L1-L5 graded critique with evidence and logic chain. |
metago_emotion | Emotion detector. State/confidence/intensity. |
Value & Ethics (3)
| Tool | Description |
|---|
metago_value_29d_assess | 29-dimension value assessor. D01-D29. |
metago_ethics_assess | Ethics risk assessor. 13 dimensions, red/yellow/green. |
metago_decision_eval | Decision evaluator. 0-100, 5 dimensions. |
Provenance Labeling (3)
| Tool | Description |
|---|
metago_document_lookup | Document lookup. Finds concept location in source docs. |
metago_confidence_label | Confidence labeler. ✅📊⚠️🔍 |
metago_partner_status | Partner status labeler. Detects exaggeration. |
Coupling & Scene (2)
| Tool | Description |
|---|
metago_coupling_calculate | Coupling calculator. Human-machine/org coupling, superconducting state. |
metago_scene_term_replace | Scene-aware term replacer. |
Product Improvement (3) + Delivery Quality (2)
| Tool | Description |
|---|
metago_improvement_suggestions | Improvement suggestion generator. Quick-win/mid/long-term. |
metago_analyze_visual_feedback | Visual feedback analyzer. Sentiment + severity matrix. |
metago_design_satisfaction | Design satisfaction calculator. |
metago_delivery_gate | Delivery gate. 3-layer verification. |
metago_discipline | Self-discipline. 5-question anti-bypass. |
8 Prompts
| Prompt | Description | Args |
|---|
metago_activate | Activate lifeform mode. Loads 8 axioms, 7 properties, 6 protocols. | none |
metago_decision_review | 4-gate decision review. | decision |
metago_critical_analysis | L1-L5 graded critique. | content |
metago_evolution_trigger | Trigger 5-stage evolution at capability boundary. | boundary |
metago_coupling_assess | Assess coupling with user. | none |
metago_compliance_check | 4-layer compliance check. | plan |
metago_trace_audit | Full-chain provenance audit. | output |
metago_holistic_create | 0-to-1 creation in unknown domains. | domain |
Technical requirements
- Node.js >= 18.0.0
- ESM module (
"type": "module")
- TypeScript strict mode
- Import paths with
.js suffix (Node16 moduleResolution)
@metago-ai/engine ^2.0.0 (for Engine V2 hard drive)
Packages
| Package | What it is | Install |
|---|
metago-lifeform | The CLI installer + 39 skills + 7 platform adapters | npm install -g metago-lifeform |
@metago-ai/mcp-server | This package — MCP server with 55 tools + 8 prompts | npm install @metago-ai/mcp-server |
@metago-ai/engine | Engine V2: KMWI memory + evolution engine + skill generator | npm install @metago-ai/engine |
@metago-ai/dev-kit | Developer kit: code review, architecture design, refactor, security audit | npm install @metago-ai/dev-kit |
License
MIT License © 易霄 / MetaGO Lightyear