CSV Editor
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CSV_MAX_FILE_SIZE | No | Maximum file size (megabytes) | 1024 |
| CSV_SESSION_TIMEOUT | No | Session timeout in minutes | 60 |
| CSV_EDITOR_CSV_HISTORY_DIR | No | Directory for persisted operation history | .csv_history |
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| health_checkB | Check the health status of the CSV Editor. |
| get_server_infoA | Get information about the CSV Editor capabilities. |
| load_csvC | Load a CSV file into a session. |
| load_csv_from_urlC | Load a CSV file from a URL. |
| load_csv_from_contentB | Load CSV data from string content. |
| export_csvC | Export session data to various formats. |
| get_session_infoC | Get information about a specific session. |
| list_sessionsB | List all active sessions. |
| close_sessionB | Close and clean up a session. |
| filter_rowsD | Filter rows based on conditions. |
| sort_dataC | Sort data by columns. |
| select_columnsC | Select specific columns from the dataframe. |
| rename_columnsC | Rename columns in the dataframe. |
| add_columnC | Add a new column to the dataframe. |
| remove_columnsC | Remove columns from the dataframe. |
| change_column_typeC | Change the data type of a column. |
| fill_missing_valuesC | Fill or remove missing values. |
| remove_duplicatesC | Remove duplicate rows. |
| update_columnC | Update values in a specific column with simple operations like replace, extract, split, etc. |
| get_statisticsC | Get statistical summary of numerical columns. |
| get_column_statisticsC | Get detailed statistics for a specific column. |
| get_correlation_matrixC | Calculate correlation matrix for numeric columns. |
| group_by_aggregateD | Group data and apply aggregation functions. |
| get_value_countsC | Get value counts for a column. |
| detect_outliersC | Detect outliers in numeric columns. |
| profile_dataC | Generate comprehensive data profile. |
| validate_schemaC | Validate data against a schema definition. |
| check_data_qualityC | Check data quality based on predefined or custom rules. |
| find_anomaliesC | Find anomalies in the data using multiple detection methods. |
| configure_auto_saveC | Configure auto-save settings for a session. |
| disable_auto_saveC | Disable auto-save for a session. |
| get_auto_save_statusC | Get auto-save status for a session. |
| trigger_manual_saveC | Manually trigger a save for a session. |
| undoC | Undo the last operation in a session. |
| redoC | Redo a previously undone operation. |
| get_historyB | Get operation history for a session. |
| restore_to_operationC | Restore session data to a specific operation point. |
| clear_historyC | Clear all operation history for a session. |
| export_historyC | Export operation history to a file. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| analyze_csv_prompt | Generate a prompt to analyze CSV data. |
| data_cleaning_prompt | Generate a prompt for data cleaning suggestions. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| list_active_sessions | List all active CSV sessions. |
TDQS
Scored across 39 tools
Most tools have distinct purposes, but there is slight overlap between statistics-related tools (get_statistics, get_column_statistics, get_value_counts) and between outlier/anomaly detection (detect_outliers, find_anomalies). Overall, an agent can distinguish them with careful description reading.
All tool names follow a consistent verb_noun pattern in lowercase snake_case (e.g., add_column, load_csv_from_url). No mixing of conventions, making the naming predictable and easy to understand.
With 39 tools, the server is heavy but covers the full scope of CSV editing, including data loading, manipulation, analysis, session management, and export. The count is appropriate for the comprehensive feature set, though slightly above the ideal range.
The toolkit covers the entire lifecycle of CSV operations: loading (from various sources), exploration (statistics, profiling), manipulation (add/remove/rename columns, fill missing, remove duplicates, sorting, filtering, grouping), validation, undo/redo, session management, and export. No obvious gaps for typical CSV editing tasks.