io.github.MetriLLM/metrillm
NPM · METRILLM-MCP · SCANNED AUG 3
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
Available components
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (136 of 140), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (136 of 140), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to MetriLLM/metrillm). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 139 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 373 tokens (~93/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · metrillm-mcp
claude mcp add metrillm-metrillm -- npx -y metrillm-mcp
codex mcp add metrillm-metrillm -- npx -y metrillm-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"metrillm-metrillm": {
"type": "local",
"command": [
"npx",
"-y",
"metrillm-mcp"
],
"enabled": true
}
}
} openclaw mcp add metrillm-metrillm --command npx --arg -y --arg metrillm-mcp
mcp_servers:
metrillm-metrillm:
command: "npx"
args: ["-y", "metrillm-mcp"] {
"mcpServers": {
"metrillm-metrillm": {
"command": "npx",
"args": [
"-y",
"metrillm-mcp"
]
}
}
} 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.
- 3 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Aug 26 +57
- Install scripts: unverified → pass ▲ security
- Provenance: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- The attested source repository moved: MetriLLM/metrillm security
- Tool coverage: 100 → unverified ▼ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- First check of Schema quality: unverified functional
- Licence: Apache-2.0 functional
- 31 Jul 26 −25
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 46
First indexed and scored.
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 3 Aug 2026 · Analysed npm/[email protected]
Provenance verified
Ecosystem: npm · Outcome: verified
Reason: verified
- Source repo:
- MetriLLM/metrillm
- Certificate issuer:
- https://token.actions.githubusercontent.com
- Certificate SAN:
- https://github.com/MetriLLM/metrillm/.github/workflows/release.yml@refs/tags/v0.2.6
- Rekor log index:
- 1109821839
- Predicate type:
- https://slsa.dev/provenance/v1
- Subject digest:
- sha512:22d38759c6bb5219279d56f1f5a8814881fad840d166304464329fe77ded592d22fa1532125c2c53ed4fa4898364573c3a2878a683010445e1cddfa8b
- Discovery method:
- attestation_endpoint
Dependencies 136 packages
136 packages in the resolved dependency tree · 135 deprecated · 37 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
get_results ~70
Retrieve previously saved benchmark results from ~/.metrillm/results/. Optionally filter by model name. Returns an array of full benchmark result objects.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | — | Filter results by model name (substring match) |
| runtime | string | — | Inference runtime to use (ollama | lm-studio). |
No output schema declared.
No examples provided.
list_models ~60
List all LLM models available locally on the inference runtime (e.g. Ollama). Returns model name, size, parameter count, quantization, and family.
| Name | Type | Req | Description |
|---|---|---|---|
| runtime | string | — | Inference runtime to use (ollama | lm-studio). |
No output schema declared.
No examples provided.
run_benchmark ~150
Run an MetriLLM benchmark on a local model. Measures performance (tokens/s, TTFT, memory) and optionally quality (reasoning, math, coding, instruction following, structured output, multilingual). Returns a detailed fitness verdict. Warning: benchmarks take 30s to 5+ minutes depending on model size.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model name to benchmark (e.g. 'llama3.2:3b', 'qwen2.5:7b') |
| perfOnly | boolean | — | If true, skip quality benchmarks and only measure speed/memory/TTFT |
| runtime | string | — | Inference runtime to use (ollama | lm-studio). |
No output schema declared.
No examples provided.
share_result ~93
Upload a benchmark result to the public MetriLLM leaderboard. Uses official upload defaults; METRILLM_* environment variables can override for self-hosted deployments. The resultFile must be an absolute path to a JSON file in ~/.metrillm/results/.
| Name | Type | Req | Description |
|---|---|---|---|
| resultFile | string | yes | Absolute path to a benchmark result JSON file (from ~/.metrillm/results/). Must be inside ~/.metrillm/results/. |
No output schema declared.
No examples provided.