MetaGO Algorithms
NPM · @METAGO-AI/ALGORITHMS
927 deterministic algorithms as 57 MCP tools: coupling, value, distance, correlation, reduction.
Available components
Last scanned (10 hours ago)
Scores higher than 68% of npm servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 94 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability63
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 4138 tokens (~72/item across 57 items; 57 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute" implies "execute" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 57 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
- Security disclosure: unverified → pass ▲ functional
- 4 Nov 26 −1
- Security disclosure: pass → unverified ▼ functional
- 28 Oct 26 +1
- Stability: 0.97 → pass security
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 21 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@metago-ai/algorithms@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 94 packages
| Packages resolved | 94 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
simplified_svd ~56
简化奇异值分解（SVD）。适用：矩阵分解、推荐系统。返回 U/S/V。（算法 ID: ALG_T1_C_029）
| Name | Type | Req | Description |
|---|---|---|---|
| matrix | object | yes | 输入矩阵 |
No output schema declared.
No examples provided.
sort_coupling_scores ~68
排序耦生分数。适用：按强度排列关系。返回排序后的列表。（算法 ID: ALG_T1_C_021）
| Name | Type | Req | Description |
|---|---|---|---|
| order | string | yes | 排序顺序（asc/desc） |
| scores | object | yes | 分数列表 |
No output schema declared.
No examples provided.
spearman_correlation ~67
计算斯皮尔曼秩相关系数。适用：非线性单调关系。返回 [-1,1]。（算法 ID: ALG_T1_C_008）
| Name | Type | Req | Description |
|---|---|---|---|
| a | array | yes | 数据 A |
| b | array | yes | 数据 B |
No output schema declared.
No examples provided.
time_analyze ~87
时间分析（49 个算法）。根据 operation 参数选择族内具体算法。operation 可选算法名关键词（如 cosine/euclidean/pearson）。不指定 operation 时执行族内首个算法。
| Name | Type | Req | Description |
|---|---|---|---|
| input | object | yes | 算法输入参数 |
| operation | string | – | 操作类型（算法名关键词），如 cosine/euclidean/pearson |
No output schema declared.
No examples provided.
time_decay_cooccurrence ~78
时间衰减共现计算。适用：时间加权关联分析。返回衰减后的频率。（算法 ID: ALG_T1_C_014）
| Name | Type | Req | Description |
|---|---|---|---|
| halfLife | object | yes | 半衰期 |
| items | object | yes | 项列表 |
| timestamps | object | yes | 时间戳列表 |
No output schema declared.
No examples provided.
value_assess ~89
价值评估（65 个算法）。根据 operation 参数选择族内具体算法。operation 可选算法名关键词（如 cosine/euclidean/pearson）。不指定 operation 时执行族内首个算法。
| Name | Type | Req | Description |
|---|---|---|---|
| input | object | yes | 算法输入参数 |
| operation | string | – | 操作类型（算法名关键词），如 cosine/euclidean/pearson |
No output schema declared.
No examples provided.
weighted_cosine ~82
计算加权余弦相似度。适用：带权重的相似度计算。返回 [-1,1]。（算法 ID: ALG_T1_C_010）
| Name | Type | Req | Description |
|---|---|---|---|
| a | array | yes | 向量 A |
| b | array | yes | 向量 B |
| weights | array | yes | 权重向量 |
No output schema declared.
No examples provided.
How do I install the MetaGO Algorithms MCP server?
MetaGO Algorithms runs locally as an npm package, launched with npx -y @metago-ai/algorithms. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @metago-ai/algorithms
claude mcp add metago-ai-metago-algorithms -- npx -y @metago-ai/algorithms
What is the MetaGO Algorithms MCP server?
MetaGO Algorithms is an MCP server listed in the public MCP registry as io.github.metago-ai/metago-algorithms. 927 deterministic algorithms as 57 MCP tools: coupling, value, distance, correlation, reduction. This page covers its npm package (@metago-ai/algorithms).
Is the MetaGO Algorithms MCP server safe to use?
MetaGO Algorithms scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the MetaGO Algorithms MCP server expose?
MetaGO Algorithms exposes 57 tools: audit_check, bias_detect, build_coupling_matrix, build_value_vector, chebyshev_distance, and 52 more. Their descriptions and schemas cost roughly 4,138 tokens of context every time the server is loaded.
Is the MetaGO Algorithms MCP server still maintained?
MetaGO Algorithms is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the MetaGO Algorithms MCP server under?
MetaGO Algorithms declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.