Voice Analyser MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| collect_corpusB | Crawl sitemap and collect clean writing corpus from published articles |
| analyze_corpusA | Perform linguistic analysis on collected corpus. Runs the six analysers that feed the voice skill: phrases, voice markers, punctuation, vocabulary tiers, vulnerability patterns, and specificity patterns. |
| generate_voice_skillB | Generate a Claude Skill bundle (SKILL.md plus real article samples) so Claude writes prose in the corpus author's voice by mimicking actual writing rather than following rule lists. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct step in the workflow: collect, analyze, generate. There is no overlap in purpose.
All tools use consistent verb_noun snake_case naming with a clear verb describing the action.
Three tools perfectly cover the core pipeline of the server without redundancy or deficiency.
The set covers the full lifecycle from corpus collection through analysis to skill generation, with no obvious gaps.