mcp-csv-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 |
|---|---|
| csv_previewA | Parse CSV/TSV text and return its columns, total row count, and a few sample rows. |
| csv_queryA | Filter, select, aggregate (count/sum/avg/min/max), group, and limit CSV/TSV rows declaratively. |
| csv_to_jsonB | Convert CSV/TSV text into an array of JSON records. |
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 has a distinct purpose: preview shows structure, query filters/aggregates, to_json converts format. No overlap or ambiguity.
All tools follow the consistent pattern 'csv_' + verb: csv_preview, csv_query, csv_to_json. Naming is uniform and predictable.
Three tools cover the essential CSV operations (preview, query, convert) without being too sparse or excessive. Well-scoped for the domain.
Covers core operations but lacks write/update or other format conversions (e.g., to JSON is included, but to other formats like XML is missing). Minor gaps exist.