MetaGO Algorithms

@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。

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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

The 14 trigger categories

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

• GitHub
• npm
• Homepage
• Issues