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MetaGO Algorithms

by metago-aiversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.metago-ai/metago-algorithms

Install

Overview

Description from the maker (original English)

927 deterministic algorithms as 57 MCP tools: coupling, value, distance, correlation, reduction.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "metago-algorithms": {
      "command": "npx",
      "args": [
        "-y",
        "@metago-ai/algorithms"
      ]
    }
  }
}

Run this in your terminal

claude mcp add metago-algorithms -- npx -y @metago-ai/algorithms

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "metago-algorithms": {
      "command": "npx",
      "args": [
        "-y",
        "@metago-ai/algorithms"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "metago-algorithms": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@metago-ai/algorithms"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account metago-ai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18386 servers in this category
  • Published to the registry more recently than 53% of the other 18386 servers in this category
  • Basic checks equal to or better than 100% of the other 18386 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MetaGO Algorithms safe?

It passed 1 of 1 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 41 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Tethered Trust

by tetheredtrust.com

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

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-ai/algorithms — 927 算法 MCP 服务器

MetaGO Intelligent Lifeform 的算法核心 — 57 工具 / 927 算法 / 14 触发大类 / 4 层架构,Engine V2.1.0 硬驱动。


What it is

@metago-ai/algorithms is the algorithmic backbone of the MetaGO Intelligent Lifeform. It exposes 57 MCP tools backed by 927 algorithms across 14 trigger categories, organized in a 4-layer architecture. Every tool is hard-driven by @metago-ai/engine@2.1.0 (KMWI memory + evolution engine + skill generator).

This is not a library of math functions. It is a Model Context Protocol (MCP) server that gives any MCP-compatible AI agent (Trae, Claude Code, Codex, Cursor, etc.) real-time access to coupling calculation, value assessment, distance metrics, correlation analysis, dimensionality reduction, security audit, frequency processing, and 7 more trigger categories.

Architecture — 4 layers / 14 trigger categories

LayerNameToolsAlgorithmsTrigger Categories
L1通用入口层 (General Entry)393
L2检索发现层 (Retrieval & Discovery)4184
L3高频专用层 (High-Frequency Specialized)305404
L4族级工具层 (Family Tools)203603
Total—5792714
The 14 trigger categories
#CategoryLayerTrigger condition
1Algorithm executionL1Agent needs to execute an algorithm
2Algorithm retrievalL1Agent needs to find an algorithm by name/family/capability
3StatisticsL1Agent needs server statistics
4Family listingL2Agent needs to list algorithm families
5Algorithm searchL2Agent needs semantic search over algorithms
6Info lookupL2Agent needs detailed info on a specific algorithm
7Proactive suggestionL2Agent needs algorithm recommendations for a task
8Coupling calculationL3Task involves relationship strength / coupling degree
9Value assessmentL3Task involves multi-dimensional value scoring
10Distance metricsL3Task involves similarity / distance between vectors
11Correlation analysisL3Task involves statistical correlation
12Dimensionality reductionL3Task involves PCA / SVD / feature reduction
13Security auditL3Task involves vulnerability / security assessment
14Frequency processingL3Task involves frequency-domain analysis

Install

npm install @metago-ai/algorithms

Use as MCP server

Trae / Claude Code / Cursor / any MCP client

Add to your MCP client config:

{

"mcpServers": { "metago-algorithms": { "command": "node", "args": ["node_modules/@metago-ai/algorithms/index.js"] } } }

Standalone
npx @metago-ai/algorithms

or

node node_modules/@metago-ai/algorithms/index.js

Tool list (57 tools)

L1 — General Entry (3 tools)
  • execute — Execute any algorithm by name with parameters
  • execute_sync — Synchronous algorithm execution
  • get_statistics — Server statistics (tool count, algorithm count, layer distribution)
L2 — Retrieval & Discovery (4 tools)
  • list_algorithms — List all 927 algorithms with metadata
  • list_families — List 14 algorithm families
  • search_algorithms — Semantic search over algorithm descriptions
  • get_algorithm_info — Detailed info on a specific algorithm
L3 — High-Frequency Specialized (30 tools)
Coupling (8 tools)
  • coupling_calculate · coupling_clustering · coupling_trend · normalize_coupling
  • build_coupling_matrix · sort_coupling_scores · is_superconductive · cooccurrence_frequency
Value Assessment (3 tools)
  • value_assess · build_value_vector · evaluate_bidirectional
Distance Metrics (6 tools)
  • euclidean_distance · manhattan_distance · chebyshev_distance
  • cosine_similarity · dice_coefficient · jaccard_coefficient
Correlation (4 tools)
  • pearson_correlation · spearman_correlation · kendall_tau · covariance
Dimensionality Reduction (3 tools)
  • extract_pca · simplified_svd · reduce_dimension
Security & Audit (3 tools)
  • security_assess · audit_check · bias_detect
Frequency & Time (3 tools)
  • frequency_process · time_analyze · time_decay_cooccurrence
L4 — Family Tools (20 tools)
Fuzzy & Semantic (3 tools)
  • fuzzy_string_match · semantic_similarity · weighted_cosine
Reasoning (3 tools)
  • reasoning_chain · logic_reason · conflict_resolve
Asymmetry & Symmetry (3 tools)
  • detect_asymmetry · record_symmetric · identify_strong_pairs · identify_weak_pairs
Negentropy (1 tool)
  • negentropy_measure
Intuition (1 tool)
  • intuition_gauge
Lifeform Operations (8 tools)
  • memory_operate · learning_learn · creation_create · evolution_evolve
  • decision_decide · dialog_manage · idea_generate · proactive_suggest

Engine dependency

This package is hard-driven by @metago-ai/engine@2.1.0:

  • KMWI Memory — 4-layer memory (Knowledge → Memory → Wisdom → Intuition) backs algorithm state
  • EvolutionEngine — 5-stage meta-evolution can generate new algorithms on demand
  • DecisionLock — 4-gate verification before every algorithm output
  • SkillGenerator — generates new algorithm SKILL.md files from internal patterns

License

MIT © 2026 易霄 / 元构光年(成都)人工智能科技有限公司

Links

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