csv-mcp
A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.
README
CSV MCP
A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files. Values remain strings unless an operation explicitly needs a numeric or date type.
Run
uv sync
CSV_MCP_ROOT=/absolute/path/to/csv-workspace uv run csv-mcp
MCP client configuration:
{
"mcpServers": {
"csv": {
"command": "uv",
"args": ["--directory", "/absolute/path/to/csv-mcp", "run", "csv-mcp"],
"env": {"CSV_MCP_ROOT": "/absolute/path/to/csv-workspace"}
}
}
}
A useful workspace layout is:
csv-workspace/
├── input/
├── output/
├── temporary/
└── backups/
All paths are resolved below CSV_MCP_ROOT. Absolute paths, traversal, symlink escapes, URLs, and extensions other than .csv/.tsv are rejected.
Tools
| Tool | Purpose |
|---|---|
list_csv_files |
List available CSV/TSV files recursively |
inspect_csv |
Detect encoding/delimiter and report structure, samples, inferred types, and warnings |
preview_csv |
Read a bounded page and optional columns |
read_csv |
Backward-compatible alias for preview_csv |
query_csv |
Select, filter, and sort with controlled operators |
summarize_csv |
Group and aggregate with whitelisted functions |
validate_csv |
Check schemas, types, required values, uniqueness, categories, and malformed rows |
compare_csv |
Compare two files by unique key columns |
create_csv |
Create validated atomic output |
append_rows |
Append rows to a new output by default |
update_rows |
Preview or write filtered changes |
delete_rows |
Preview or write filtered deletions |
clean_csv |
Trim, change case, and deduplicate |
merge_csv |
Concatenate matching files or join two files |
Query operators are =, !=, >, >=, <, <=, contains, starts_with, ends_with, is_null, not_null, and in. Aggregations are count, sum, mean, minimum, maximum, median, and unique_count.
Parsing options
Tools accept an optional options object:
{
"encoding": "windows-1252",
"delimiter": ";",
"decimal_separator": ",",
"quotechar": "\"",
"escapechar": "\\",
"doublequote": true,
"header_mode": "first_row",
"null_values": ["", "NULL", "N/A"],
"keep_empty_strings": false,
"column_types": {"amount": "decimal"},
"date_formats": {"created_at": "%Y-%m-%d"}
}
Supported encodings are UTF-8, UTF-8 with BOM, UTF-16, Latin-1, and Windows-1252. Supported delimiters are comma, semicolon, tab, and pipe. With header_mode: "none", pass column_names or generated names such as column_1 are used.
Safe writes
Append, update, delete, and clean produce a file below output/ unless output_file is supplied. Update and delete default to dry_run: true. Existing destinations require overwrite: true.
Writes:
- Validate columns, rows, paths, and formula policy.
- Serialize mutations inside the server process.
- Write a temporary file beside the destination.
- Parse and validate the temporary file.
- Calculate SHA-256.
- Atomically replace the destination.
spreadsheet_formula_policy accepts escape (default), reject, or preserve. Negative values are preserved only for columns explicitly typed as integer or decimal.
Resources
csv://files
csv://file/{name}/metadata
csv://file/{name}/schema
csv://file/{name}/preview
Limits
Limits are configurable with environment variables:
| Variable | Default |
|---|---|
CSV_MCP_MAX_FILE_SIZE |
50 MiB |
CSV_MCP_MAX_ROWS |
1,000,000 |
CSV_MCP_MAX_COLUMNS |
500 |
CSV_MCP_MAX_FIELD_LENGTH |
1 MiB |
CSV_MCP_MAX_RETURNED_ROWS |
1,000 |
CSV_MCP_MAX_FILES |
10,000 |
The bounded in-memory engine is intentional for this version. Use chunked pandas, PyArrow, DuckDB, or Parquet when files must exceed these limits.
Test
uv run pytest
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