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Glama

Server Details

AI cover letter generation for agents. Job analysis, profile matching, narrative letters.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
benediktgirz/storylenses-mcp-server
GitHub Stars
0
Server Listing
StoryLenses MCP Server

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.1/5 across 5 of 5 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: analyzing a job, matching a profile, listing archetypes, generating a letter, and quality-checking a letter. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tools follow a consistent storylenses_verb_noun pattern (analyze_job, generate_letter, list_archetypes, match_profile, quality_check). The naming is uniform and predictable.

Tool Count5/5

With exactly 5 tools, the server is well-scoped for the cover letter generation workflow. Each tool covers a necessary step without bloat or redundancy.

Completeness5/5

The tool set covers the entire lifecycle from job analysis to profile matching, style selection, letter generation, and quality evaluation. There are no obvious gaps in the intended workflow.

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