Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
927 deterministic algorithms as 57 MCP tools: coupling, value, distance, correlation, reduction.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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/algorithmsPaste 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.
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.
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 8, 2026
The registry name was verified with the GitHub account metago-ai, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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 –, and the latest version (1.0.2) reached the registry 41 days 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: Spec Driven Development, Remote Desktop Commander, Tethered Trust
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
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 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。
@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.
| Layer | Name | Tools | Algorithms | Trigger Categories |
|---|---|---|---|---|
| L1 | 通用入口层 (General Entry) | 3 | 9 | 3 |
| L2 | 检索发现层 (Retrieval & Discovery) | 4 | 18 | 4 |
| L3 | 高频专用层 (High-Frequency Specialized) | 30 | 540 | 4 |
| L4 | 族级工具层 (Family Tools) | 20 | 360 | 3 |
| Total | — | 57 | 927 | 14 |
| # | Category | Layer | Trigger condition |
|---|---|---|---|
| 1 | Algorithm execution | L1 | Agent needs to execute an algorithm |
| 2 | Algorithm retrieval | L1 | Agent needs to find an algorithm by name/family/capability |
| 3 | Statistics | L1 | Agent needs server statistics |
| 4 | Family listing | L2 | Agent needs to list algorithm families |
| 5 | Algorithm search | L2 | Agent needs semantic search over algorithms |
| 6 | Info lookup | L2 | Agent needs detailed info on a specific algorithm |
| 7 | Proactive suggestion | L2 | Agent needs algorithm recommendations for a task |
| 8 | Coupling calculation | L3 | Task involves relationship strength / coupling degree |
| 9 | Value assessment | L3 | Task involves multi-dimensional value scoring |
| 10 | Distance metrics | L3 | Task involves similarity / distance between vectors |
| 11 | Correlation analysis | L3 | Task involves statistical correlation |
| 12 | Dimensionality reduction | L3 | Task involves PCA / SVD / feature reduction |
| 13 | Security audit | L3 | Task involves vulnerability / security assessment |
| 14 | Frequency processing | L3 | Task involves frequency-domain analysis |
npm install @metago-ai/algorithms
Add to your MCP client config:
{
"mcpServers": { "metago-algorithms": { "command": "node", "args": ["node_modules/@metago-ai/algorithms/index.js"] } } }
npx @metago-ai/algorithms
node node_modules/@metago-ai/algorithms/index.js
execute — Execute any algorithm by name with parametersexecute_sync — Synchronous algorithm executionget_statistics — Server statistics (tool count, algorithm count, layer distribution)list_algorithms — List all 927 algorithms with metadatalist_families — List 14 algorithm familiessearch_algorithms — Semantic search over algorithm descriptionsget_algorithm_info — Detailed info on a specific algorithmcoupling_calculate · coupling_clustering · coupling_trend · normalize_couplingbuild_coupling_matrix · sort_coupling_scores · is_superconductive · cooccurrence_frequencyvalue_assess · build_value_vector · evaluate_bidirectionaleuclidean_distance · manhattan_distance · chebyshev_distancecosine_similarity · dice_coefficient · jaccard_coefficientpearson_correlation · spearman_correlation · kendall_tau · covarianceextract_pca · simplified_svd · reduce_dimensionsecurity_assess · audit_check · bias_detectfrequency_process · time_analyze · time_decay_cooccurrencefuzzy_string_match · semantic_similarity · weighted_cosinereasoning_chain · logic_reason · conflict_resolvedetect_asymmetry · record_symmetric · identify_strong_pairs · identify_weak_pairsnegentropy_measureintuition_gaugememory_operate · learning_learn · creation_create · evolution_evolvedecision_decide · dialog_manage · idea_generate · proactive_suggestThis package is hard-driven by @metago-ai/engine@2.1.0:
MIT © 2026 易霄 / 元构光年(成都)人工智能科技有限公司