csv-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
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| read_csvA | Read a CSV file and return its contents Args: filename: Name of the CSV file to read rows: Optional number of rows to return (returns all if not specified) |
| get_csv_infoC | Get detailed information about a CSV file Args: filename: Name of the CSV file |
| query_csvA | Query a CSV file using pandas query syntax Args: filename: Name of the CSV file query: Pandas query string (e.g., "age > 30 and city == 'NYC'") |
| get_csv_statisticsC | Get statistical summary of a CSV file or specific column Args: filename: Name of the CSV file column: Optional specific column name to analyze |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| list_csv_files | List all available CSV files in the configured directory |
TDQS
Scored across 4 tools
Each tool has a clear, distinct purpose: metadata (get_csv_info), statistics (get_csv_statistics), query/filtering (query_csv), and raw data retrieval (read_csv). No overlapping functionality.
All tool names follow a consistent verb_noun pattern with snake_case, using 'get_csv_' for info and statistics, and straightforward verbs for the others.
4 tools is a well-scoped set for a CSV server, covering the essential read operations without unnecessary bloat.
The tool surface covers read operations comprehensively but lacks write or edit capabilities (e.g., create, update, delete rows or columns), which limits full CRUD coverage.