io.github.BlackFoil/claude-token-saver-mcp
NPM · CLAUDE-TOKEN-SAVER-MCP · SCANNED AUG 4
MCP server that offloads routine coding tasks to local LLM (Ollama) to save Claude API tokens
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 Security83
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known medium-severity CVE affects hono 4.12.33, reached via @modelcontextprotocol/sdk > hono. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (108 of 112), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- 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 (Apache-2.0).Pass
- Actively maintained (last published 125 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 962 tokens (~87/item across 11 items; 11 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 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 · claude-token-saver-mcp
claude mcp add blackfoil-claude-token-saver-mcp -- npx -y claude-token-saver-mcp
codex mcp add blackfoil-claude-token-saver-mcp -- npx -y claude-token-saver-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"blackfoil-claude-token-saver-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"claude-token-saver-mcp"
],
"enabled": true
}
}
} openclaw mcp add blackfoil-claude-token-saver-mcp --command npx --arg -y --arg claude-token-saver-mcp
mcp_servers:
blackfoil-claude-token-saver-mcp:
command: "npx"
args: ["-y", "claude-token-saver-mcp"] {
"mcpServers": {
"blackfoil-claude-token-saver-mcp": {
"command": "npx",
"args": [
"-y",
"claude-token-saver-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.
- 4 Aug 26 0
- CVE-2026-69207 affects this package: medium ▼ security
- Known CVEs: partial → fail ▼ security
- 3 Aug 26 +4
- Stability: unverified → 0.27 ▲ functional
- 2 Aug 26 +43
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: 100 → unverified ▼ functional
- License: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ 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 4 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-8j4g-w8fx-2239 | CVE-2026-69207 | medium | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L | yes |
Dependencies 108 packages
108 packages in the resolved dependency tree · 108 deprecated · 33 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.
auto_setup ~136
Automate the full model setup flow: recommend the best model for a task category, download it if needed, and preload it into VRAM — all in one step.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | — | Task category: coding, coding-agent, japanese-text, japanese-coding, translation, summarization, general. Default: "general" |
| prefer_quality | boolean | — | Prefer quality (true) or speed (false). Default: false |
| skip_preload | boolean | — | Skip preloading the model into VRAM. Default: false |
| skip_pull | boolean | — | Skip downloading the model if not installed. Default: false |
No output schema declared.
No examples provided.
batch_offload ~70
Submit multiple coding tasks as a batch to the local LLM. Tasks are processed sequentially or in parallel. Supports partial failure.
| Name | Type | Req | Description |
|---|---|---|---|
| sequential | boolean | — | Process tasks sequentially, passing previous result as context (default: false) |
| tasks | array | yes | Array of tasks (1-10) |
No output schema declared.
No examples provided.
compress_context ~132
Compress/summarize large text content using a local LLM to reduce cloud token usage. Use for summarizing logs, large files, or verbose context before sending to Claude.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | yes | The content to compress/summarize (required, max 200000 chars) |
| focus | string | — | What to focus on in the summary (optional, max 500 chars) |
| max_length | number | — | Target max length of the summary in chars (optional, 100-10000, default: 2000) |
| model | string | — | Override the Ollama model to use (optional). |
No output schema declared.
No examples provided.
configure_model_selector ~120
View or modify model selector settings at runtime. Manage blocked models, license filters, and custom model recommendations.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | Action to perform. "add"/"remove" for blocked_models/license_filter only. |
| custom_config | object | — | Custom recommendations config for "set" action on custom_recommendations. Format: { category: { tier: [modelId, ...] } } |
| setting | string | yes | Which setting to manage |
| values | array | — | Values for set/add/remove (for blocked_models and license_filter) |
No output schema declared.
No examples provided.
cost_dashboard ~17
View cumulative cost savings and model usage statistics.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_metrics ~48
Get server metrics in Prometheus text format or JSON. Includes request counts, latency, queue stats, cost savings, and health status.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | — | Output format (default: json) |
No output schema declared.
No examples provided.
list_loaded_models ~33
List all models currently loaded in VRAM with usage details. Shows VRAM usage, expiry time, and available slots.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
offload_work ~162
Offload coding/text tasks to a local LLM (Ollama) to save Claude API tokens. Use for code generation, refactoring, formatting, boilerplate, and other routine tasks.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | — | Task category for automatic model selection (optional). Ignored if model is specified. |
| context | string | — | Additional context such as file content or specifications (optional, max 100000 chars) |
| language | string | — | Programming language (optional) |
| model | string | — | Override the Ollama model to use (optional). Takes precedence over category-based selection. |
| output_format | string | — | Output format (optional, default: code) |
| task | string | yes | The task to perform (required, max 50000 chars) |
No output schema declared.
No examples provided.
preload_model ~93
Preload a model into VRAM for warm inference. Sends an empty chat request with keep_alive to keep the model loaded during the session.
| Name | Type | Req | Description |
|---|---|---|---|
| keep_alive | string | — | Duration to keep the model loaded (optional, default: "-1" = permanent). Examples: "5m", "1h", "-1" |
| model | string | yes | The model name to preload (must be already installed via pull_model) |
No output schema declared.
No examples provided.
pull_model ~64
Download a model from the Ollama registry to local storage. Use this to install recommended models before preloading them into VRAM.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Model name to pull (e.g. "qwen3:14b", "devstral:24b") |
No output schema declared.
No examples provided.
recommend_model ~87
Recommend the best local LLM model for a given task category based on system specs and installed models. Returns prioritized list with installation status and license info.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Task category: coding, coding-agent, japanese-text, japanese-coding, translation, summarization, general |
| prefer_quality | boolean | — | Prefer quality (true) or speed (false). Default: false |
No output schema declared.
No examples provided.