io.github.rccola990-cloud/mcp-token-optimizer
NPM · MCP-TOKEN-OPTIMIZER · SCANNED AUG 3
Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
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 (95 of 99), 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 (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
- 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 45 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 386 tokens (~96/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 Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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 · mcp-token-optimizer
claude mcp add rccola990-cloud-mcp-token-optimizer -- npx -y mcp-token-optimizer
codex mcp add rccola990-cloud-mcp-token-optimizer -- npx -y mcp-token-optimizer
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"rccola990-cloud-mcp-token-optimizer": {
"type": "local",
"command": [
"npx",
"-y",
"mcp-token-optimizer"
],
"enabled": true
}
}
} openclaw mcp add rccola990-cloud-mcp-token-optimizer --command npx --arg -y --arg mcp-token-optimizer
mcp_servers:
rccola990-cloud-mcp-token-optimizer:
command: "npx"
args: ["-y", "mcp-token-optimizer"] {
"mcpServers": {
"rccola990-cloud-mcp-token-optimizer": {
"command": "npx",
"args": [
"-y",
"mcp-token-optimizer"
]
}
}
} 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 +29
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Licence: MIT functional
- 2 Aug 26 +31
- Malware scan: unverified → pass ▲ security
- Tool coverage: unverified → 100 ▲ functional
- 1 Aug 26 −16
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 31 Jul 26 −24
- 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 40
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 none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 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.
compare_model_costs ~85
Compare the per-call cost of a prompt across many models and recommend the cheapest. Use to route work to the cheapest capable model.
| Name | Type | Req | Description |
|---|---|---|---|
| completion_tokens | number | — | Assumed output tokens per call (default 0). |
| models | array | — | Optional subset of model ids to compare. Omit for all known models. |
| text | string | yes | The input prompt. |
No output schema declared.
No examples provided.
count_tokens ~92
Count the tokens in a piece of text and show the input cost across common LLM models (or one model if specified). Use before sending a prompt to know its size and price.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | — | Optional model id (e.g. gpt-4o, claude-sonnet-4). Omit to compare across common models. |
| text | string | yes | The text/prompt to measure. |
No output schema declared.
No examples provided.
estimate_cost ~104
Estimate the per-call and monthly cost of a prompt for a given model, including assumed completion tokens and call volume. Use to forecast LLM spend.
| Name | Type | Req | Description |
|---|---|---|---|
| completion_tokens | number | — | Assumed output tokens per call (default 0). |
| model | string | — | Model id (default gpt-4o). |
| monthly_calls | number | — | Calls per month, to project monthly/yearly spend (default 0). |
| text | string | yes | The input prompt. |
No output schema declared.
No examples provided.
slim_prompt ~105
Compress a prompt with safe, meaning-preserving rules (shorten verbose phrases, drop filler, dedupe lines, normalize whitespace) and report tokens and dollars saved. Use to cut token costs without an LLM call.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | — | Model id used to price the savings (default gpt-4o). |
| monthly_calls | number | — | Calls per month, to project monthly savings (default 0). |
| text | string | yes | The prompt to slim down. |
No output schema declared.
No examples provided.