World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
Decision lock, anti-hallucination, meta-evolution and provenance for any MCP agent. 55 tools.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"metago": {
"command": "npx",
"args": [
"-y",
"@metago-ai/mcp-server"
]
}
}
}Use MetaGO Agent Harness and tell me what you can do for me, then show me one thing✓ If Claude says it is using MetaGO Agent Harness or shows a MetaGO Agent Harness tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect MetaGO Agent Harness yet
MetaGO Agent Harness runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect MetaGO Agent Harness
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user metago -- npx -y @metago-ai/mcp-serverYou should see MetaGO Agent Harness listed as connected
Use MetaGO Agent Harness and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using MetaGO Agent Harness or shows a MetaGO Agent Harness tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use MetaGO Agent Harness and tell me what you can do for me, then show me one thing✓ If Cursor says it is using MetaGO Agent Harness or shows a MetaGO Agent Harness tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use MetaGO Agent Harness and tell me what you can do for me, then show me one thing✓ If VS Code says it is using MetaGO Agent Harness or shows a MetaGO Agent Harness tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user metago -- npx -y @metago-ai/mcp-serverClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"metago": {
"command": "npx",
"args": [
"-y",
"@metago-ai/mcp-server"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"metago": {
"command": "npx",
"args": [
"-y",
"@metago-ai/mcp-server"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"metago": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@metago-ai/mcp-server"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @metago-ai/mcp-serverBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026
The registry name was verified with the GitHub account metago-ai, which owns the repo
Code last changed 7 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 7 days ago, and the latest version (1.3.3) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MetaGO MCP Server —— 智能体运行时(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/
This is the MCP Server subpackage of MetaGO Intelligent Lifeform. It exposes the runtime'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.
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)
| 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, butskills-data.tsonly exports 39 (missingmetago-delivery-gateandmetago-discipline, which live in toolkit-data.ts — note: 36.9.6 addedmetago-first-principlesandmetago-adversarial-reviewto skills-data.ts). Then 7 skill names collide with toolkit tools and are merged. So:22 + (39 − 7) + 1 = 55.
npm install -g @metago-ai/mcp-server
npx -y @metago-ai/mcp-server
git clone https://gitee.com/metago/metagolifeform.git
cd metagolifeform/packages/mcp-server npm install npm run build # TypeScript compile npm start # node dist/index.js npm run dev # tsx hot-reload
Edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": { "metago": { "command": "npx", "args": ["-y", "@metago-ai/mcp-server"] } } }
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. |
Each tool takes an input string (the content/question/code to process).
| 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. |
| 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. |
| Tool | Description |
|---|---|
metago_coupling_optimize | Coupling optimization. Quantifies coupling (0-∞), pursues superconducting state (>1). |
metago_value_align | 29-dimension value alignment. |
| 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. |
| 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. |
| 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). |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| Tool | Description |
|---|---|
metago_coupling_calculate | Coupling calculator. Human-machine/org coupling, superconducting state. |
metago_scene_term_replace | Scene-aware term replacer. |
| 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. |
| 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 |
"type": "module").js suffix (Node16 moduleResolution)@metago-ai/engine ^2.0.0 (for Engine V2 hard drive)| Package | What it is | Install |
|---|---|---|
metago-lifeform | The CLI installer + 112 skills + 11 platforms 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 |
MIT License © 易霄 / MetaGO Lightyear