io.github.benediktgirz/storylenses
NPM · @STORYLENSES/MCP-SERVER · 2 COMPONENTS · SCANNED AUG 3
AI cover letter generation for agents. Job analysis, profile matching, narrative letters.
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 & 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 (MIT).Pass
- Actively maintained (last published 117 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 424 tokens (~84/item across 5 items; 5 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 · @storylenses/mcp-server
claude mcp add benediktgirz-storylenses -- npx -y @storylenses/mcp-server
codex mcp add benediktgirz-storylenses -- npx -y @storylenses/mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"benediktgirz-storylenses": {
"type": "local",
"command": [
"npx",
"-y",
"@storylenses/mcp-server"
],
"enabled": true
}
}
} openclaw mcp add benediktgirz-storylenses --command npx --arg -y --arg @storylenses/mcp-server
mcp_servers:
benediktgirz-storylenses:
command: "npx"
args: ["-y", "@storylenses/mcp-server"] {
"mcpServers": {
"benediktgirz-storylenses": {
"command": "npx",
"args": [
"-y",
"@storylenses/mcp-server"
]
}
}
} 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.
- 2 Aug 26 +46
- 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
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Licence: MIT 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/@storylenses/[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.
storylenses_analyze_job ~78
Extract 15+ structured fields from a job posting — role requirements, company challenges, culture signals, recruiter priorities
| Name | Type | Req | Description |
|---|---|---|---|
| job_text | string | — | Raw text of the job posting (use if no URL) |
| job_url | string | — | URL of the job posting to analyze |
| locale | string | — | Response language |
No output schema declared.
No examples provided.
storylenses_generate_letter ~148
Generate a story-driven cover letter using matched data and a narrative archetype. Supports en/de/es/pt.
| Name | Type | Req | Description |
|---|---|---|---|
| archetype | string | — | Narrative archetype ID (use storylenses_list_archetypes to see options) |
| candidate_name | string | yes | Candidate's full name |
| job_analysis | object | yes | Job analysis from storylenses_analyze_job |
| length | string | — | Letter length: short (150-200 words), medium (250-350), full (400-500) |
| locale | string | — | Output language |
| match_data | object | yes | Match data from storylenses_match_profile |
| tone | string | — | Writing tone |
No output schema declared.
No examples provided.
storylenses_list_archetypes ~39
Return available narrative archetypes with descriptions so the agent or user can select a style
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | — | Description language |
No output schema declared.
No examples provided.
storylenses_match_profile ~78
Match a candidate profile/CV against job data — identifies fit score, matching skills, career gaps, and strongest narrative angle
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_cv | string | yes | Candidate's CV or resume as text |
| job_analysis | object | yes | Job analysis output from storylenses_analyze_job |
| locale | string | — | Response language |
No output schema declared.
No examples provided.
storylenses_quality_check ~81
Score and evaluate a cover letter for relevance, narrative strength, and completeness. Returns score 0-100 with actionable feedback.
| Name | Type | Req | Description |
|---|---|---|---|
| job_analysis | object | yes | Job analysis from storylenses_analyze_job |
| letter_text | string | yes | The cover letter text to evaluate (min 200 characters) |
| locale | string | — | Feedback language |
No output schema declared.
No examples provided.