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MetaGO Algorithms MCP server

by metago-ai·io.github.metago-ai/metago-algorithms·v1.0.2·4 stars

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

A89/100grade A
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Safety scan
A89/100

full report

Adoption
Growing

4 stars61 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

MetaGO Algorithms tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan173 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 27 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How MetaGO Algorithms compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
89/100
higher than 80% of 48,255 servers
GitHub stars
4
more than 82% of 28,688 servers
Downloads a week
61
more than 49% of 12,191 servers with a package

Install MetaGO Algorithms in Claude Code, Cursor or VS Code

Runs npx -y @metago-ai/algorithms on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add metago-algorithms -- npx -y @metago-ai/algorithms
Add to Cursor

What the publisher says

From the MetaGO Algorithms repository's README, as published. We do not edit it. Read it on GitHub

MetaGO Agent Harness — 智能体运行时控制层套件(驭智层)

Not a chatbot. Not a copilot. A lifeform that holds itself to its own law.

The only AI agent that evolves its own evolution.

MetaGO is an Agent Harness — a runtime control layer that wraps the agent, turning a tool into a lifeform that follows the rules, evolves itself, stays traceable, and closes every loop. It is the engineering answer to "LLMs talk well but don't deliver."

MetaGO is the first intelligent agent infrastructure to combine 'runtime governance' with 'lifeform evolution' — making AI both rule-following (Harness) and self-evolving (Lifeform).

Website · Studio · Docs · Discord · GitHub · Gitee · Releases

60-second start

npm install -g metago-lifeform
metago-lifeform install                          # Trae by default
metago-lifeform install --platform claude-code   # or: codex / cursor / codebuddy / qoder / zcode / chatgpt-work / workbuddy / kimi-code / kimi-work
metago-lifeform verify

Then ask your agent: "Are you a MetaGO Super Intelligent Lifeform?" If the reply opens with 【闭环分析】 and cites an axiom — it's alive.

Offline / local-first install: everything needed to install without touching gitee, github, or the npm registry lives in local-edition/ — start at local-edition/INSTALL.local.md. Point any agent at that file and it can complete the full install, configuration, activation, and acceptance check from the local directory alone.

What is an Agent Harness?

A Harness (驭智层) is the runtime control layer around the agent. The model is the raw intelligence; the Harness is what turns that intelligence into reliable, traceable, self-evolving work. It is not a prompt template, not a fine-tune, not a wrapper around an API. It is a small operating law the agent enforces on itself every turn.

Think of it as the difference between a brilliant employee who winges it and one who works under a constitution: same brain, completely different output quality.

Why a Harness, not a Copilot?

The 8 dimensions of advantage

MetaGO's moat isn't any single feature. It's 8 dimensions that reinforce each other.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

MetaGO Algorithms: common questions

Is MetaGO Algorithms MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the MetaGO Algorithms safety report
How do I install MetaGO Algorithms?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does MetaGO Algorithms need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is MetaGO Algorithms maintained?
The last commit was 64 days ago (2026-09-01). The latest release is v1.0.2.
How does MetaGO Algorithms compare with other MCP servers?
safety score 89/100 (higher than 80% of 48,255 servers); github stars 4 (more than 82% of 28,688 servers); downloads a week 61 (more than 49% of 12,191 servers with a package). Full comparison.