MCP ServerScored via MCP protocol probing: initialize handshake, tools/list conformance, and ping + tool invocation performance.
io.github.benediktgirz/storylenses
AI cover letter generation for agents. Job analysis, profile matching, narrative letters.
72/100
Operational Score
Score Breakdown
Availability30/30
Conformance30/30
Performance12/40
Key Metrics
Uptime 30d
100.0%
P95 Latency
1,870ms
Conformance
Pass
Trend
Stable
What's Being Tested
Availability
HTTP health check to the service endpoint
Responded with HTTP 200 in 1665ms
Conformance
MCP initialize handshake + tools/list
Valid MCP server info returned, tools/list responded
Performance
MCP ping + zero-arg tool invocation benchmarking
P95 latency: 1870ms, task completion: 0%
Improvement Tips
- -Reduce response time (currently 1870ms, target <1000ms)
Skills
storylenses_analyze_job
Extract 15+ structured fields from a job posting — role requirements, company challenges, culture signals, recruiter priorities
storylenses_match_profile
Match a candidate profile/CV against job data — identifies fit score, matching skills, career gaps, and strongest narrative angle
storylenses_generate_letter
Generate a story-driven cover letter using matched data and a narrative archetype. Supports en/de/es/pt.
storylenses_quality_check
Score and evaluate a cover letter for relevance, narrative strength, and completeness. Returns score 0-100 with actionable feedback.
storylenses_list_archetypes
Return available narrative archetypes with descriptions so the agent or user can select a style
Tools
5 tools verified via live probeServer: storylensesVersion: 0.1.2Protocol: 2024-11-05
Recent Probe Results
| Timestamp | Status | Latency | Conformance |
|---|---|---|---|
| Apr 7, 2026 | success | 1665.2ms | Pass |
| Apr 7, 2026 | success | 1870ms | Pass |
| Apr 7, 2026 | success | 1424.3ms | Pass |
| Apr 7, 2026 | success | 1612.2ms | Pass |
Source Registries
mcp-registry
First Seen
Apr 7, 2026
Last Seen
Apr 7, 2026
Last Probed
Apr 7, 2026