io.github.benediktgirz/storylenses
REMOTE · WWW.STORYLENSES.APP · 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 against the live server, and we only credit what we can confirm. How we score →
Endpoint Security0
- TLS not yet verified: we couldn't open a connection to check the certificate. View diagnostics → Unverified
- Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. View diagnostics → Unverified
- HTTPS not yet verified: we couldn't determine whether a plaintext access path exists. View diagnostics → Unverified
- HSTS not yet verified: we couldn't read the response headers to check for it. View diagnostics → Unverified
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability0
- Transport check failed: declared streamable-http, but we couldn't connect to verify it. See how to fix → View diagnostics → Fail
Schema Quality & AI Usability0
- Schema not yet verified: we couldn't read the endpoint's schema.Unverified
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
- Tool coverage not yet verified: we couldn't read the endpoint's tools.Unverified
Capabilities0
- Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified
Unverified: 4 categories
Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. 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.
remote · www.storylenses.app
claude mcp add --transport http benediktgirz-storylenses https://www.storylenses.app/api/mcp/endpoint
[mcp_servers.benediktgirz-storylenses] url = "https://www.storylenses.app/api/mcp/endpoint"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"benediktgirz-storylenses": {
"type": "remote",
"url": "https://www.storylenses.app/api/mcp/endpoint",
"enabled": true
}
}
} openclaw mcp add benediktgirz-storylenses --url https://www.storylenses.app/api/mcp/endpoint --transport streamable-http
mcp_servers:
benediktgirz-storylenses:
url: "https://www.storylenses.app/api/mcp/endpoint" {
"mcpServers": {
"benediktgirz-storylenses": {
"type": "http",
"url": "https://www.storylenses.app/api/mcp/endpoint"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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 0
- Endpoint reachability: reachable → unreachable ▼ security
- HSTS header: pass → unverified ▼ security
- Authorization: partial → unverified ▼ security
- TLS certificate: pass → unverified ▼ security
- HTTPS: pass → unverified ▼ security
- Stability: 0.23 → unverified ▼ security
- Transport: pass → fail ▼ security
- Tool coverage: 100 → unverified ▼ functional
- Capabilities: fail → unverified ▼ functional
- First check of Schema quality: unverified functional
- 2 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Jul 26 +4
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 29 Jul 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Jul 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Jul 26 64
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 · Probed https://www.storylenses.app/api/mcp/endpoint
TLS unreached
DNSSEC insecure
Validation of www.storylenses.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| storylenses.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication Inconclusive
We could not reach the endpoint well enough to judge its authorisation posture.
| Result | Inconclusive |
|---|
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://www.storylenses.app/api/mcp/endpoint | Unreachable | ||
| http (plaintext) | http://www.storylenses.app/api/mcp/endpoint | Inconclusive | 404 |
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 ~87
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 (en, de, es, or pt) |
No output schema declared.
No examples provided.
storylenses_generate_letter ~170
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 for the letter greeting |
| job_analysis | object | yes | Job analysis from storylenses_analyze_job |
| length | string | — | Letter length — short (150-200 words), medium (250-350), or full (400-500) |
| locale | string | — | Output language (en, de, es, or pt) |
| match_data | object | yes | Match data from storylenses_match_profile |
| tone | string | — | Writing tone — professional, conversational, confident, etc. |
No output schema declared.
No examples provided.
storylenses_list_archetypes ~48
Return available narrative archetypes with descriptions so the agent or user can select a style
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | — | Description language (en, de, es, or pt) |
No output schema declared.
No examples provided.
storylenses_match_profile ~88
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 plain text |
| job_analysis | object | yes | Job analysis output from storylenses_analyze_job |
| locale | string | — | Response language (en, de, es, or pt) |
No output schema declared.
No examples provided.
storylenses_quality_check ~92
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 for context |
| letter_text | string | yes | The cover letter text to evaluate (minimum 200 characters) |
| locale | string | — | Feedback language (en, de, es, or pt) |
No output schema declared.
No examples provided.