TranscriptionTools 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| repair_textC | Analyzes and repairs transcription errors with greater than 90% confidence |
| get_repair_logC | Retrieves detailed analysis log from previous repair operation |
| format_transcriptC | Transforms timestamped transcripts into naturally formatted text |
| summary_textC | Generates intelligent summaries using ACE cognitive methodology |
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 4 tools
Each tool has a clearly distinct purpose: format_transcript transforms raw transcripts, repair_text fixes errors, summary_text creates summaries, and get_repair_log retrieves logs. There is no overlap in functionality, making tool selection unambiguous.
Three tools follow a consistent verb_noun pattern (format_transcript, repair_text, summary_text), but get_repair_log uses a verb_object pattern, deviating slightly. The naming is still highly readable and mostly predictable.
With 4 tools, the server is well-scoped for transcription processing. Each tool serves a distinct and essential function, and the count is appropriate for the domain without being too sparse or bloated.
The tools cover core transcription workflows: formatting, repairing, summarizing, and logging. Minor gaps might include operations like batch processing or exporting, but the set supports key agent tasks effectively.