io.github.benediktgirz/storylenses
NPM · @STORYLENSES/MCP-SERVER · 2 COMPONENTS
AI cover letter generation for agents. Job analysis, profile matching, narrative letters.
Available components
Last scanned (7 hours ago)
Scores higher than 58% of npm servers
Category CRM and Sales
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 Security81
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 30 of 93 dependencies flagged as unhealthy. 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 211 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
- 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 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 Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 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
Checks we ran (16)
- Malware scan
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
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 Nov 26 +1
- Stability: 0.97 → pass security
- 3 Nov 26 −1
- Stability: pass → 0.97 functional
- 28 Oct 26 +1
- Stability: 0.97 → pass security
- 27 Oct 26 −1
- Stability: pass → 0.97 functional
- 24 Oct 26 −5
- CVE-2023-54404 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- 21 Oct 26 0
- Stability: 0.97 → pass security
- 20 Oct 26 0
- Stability: pass → 0.97 functional
- 17 Oct 26 +2
- Stability: 0.83 → pass security
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/@storylenses/mcp-server@0.1.3
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 →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-mrhx-c7xc-m3w5 | CVE-2023-54404 | high | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 93 packages
| Packages resolved | 93 |
|---|---|
| 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 →
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.
How do I install the io.github.benediktgirz/storylenses MCP server?
io.github.benediktgirz/storylenses runs locally as an npm package, launched with npx -y @storylenses/mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @storylenses/mcp-server
claude mcp add benediktgirz-storylenses -- npx -y @storylenses/mcp-server
What is the io.github.benediktgirz/storylenses MCP server?
io.github.benediktgirz/storylenses is an MCP server listed in the public MCP registry as io.github.benediktgirz/storylenses. AI cover letter generation for agents. Job analysis, profile matching, narrative letters. This page covers its npm package (@storylenses/mcp-server).
Is the io.github.benediktgirz/storylenses MCP server safe to use?
io.github.benediktgirz/storylenses scores 78 out of 100 on VerifyMCP. We recorded 1 known advisory against 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 io.github.benediktgirz/storylenses MCP server expose?
io.github.benediktgirz/storylenses exposes 5 tools: storylenses_analyze_job, storylenses_match_profile, storylenses_generate_letter, storylenses_quality_check, storylenses_list_archetypes. Their descriptions and schemas cost roughly 424 tokens of context every time the server is loaded.
Is the io.github.benediktgirz/storylenses MCP server still maintained?
io.github.benediktgirz/storylenses 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 io.github.benediktgirz/storylenses MCP server under?
io.github.benediktgirz/storylenses declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.
What did VerifyMCP test on the io.github.benediktgirz/storylenses MCP server?
VerifyMCP ran 16 checks on io.github.benediktgirz/storylenses, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to an npm package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.