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Import Check: Validate & Clean CSV

io.github.LeBorgneAntoine/import-check · v0.2.0

Measured by MCP Station

Description written by the publisher, not verified

Validate and prepare CSV; reconcile two tables with exact keys and full findings. Fixed free demos.

Connect

claude mcp add --transport http import-check https://check.orvel.dev/mcp

{
  "mcpServers": {
    "import-check": {
      "url": "https://check.orvel.dev/mcp"
    }
  }
}

Tools as reported by the server

• get_csv_example
  Return a fixed synthetic CSV and its column schema. Free, no key or quota. Copy the structure, then supply your own CSV to validate_csv.
• view_csv_demo
  Validate the fixed example with the current engine. Free and no arguments; demonstrates duplicate, email, amount and date findings. Custom files require validate_csv and paid access.
• get_csv_usage
  Read remaining operations and expiry for the API key supplied in the Authorization header. Does not consume credit.
• get_table_example
  Return fixed synthetic left/right tables and a reusable join recipe. No arguments, key or credit. Copy the structure for reconcile_tables; mode controls which unmatched rows appear in output.
• view_table_demo
  Join the bundled fixed tables and show changed and unmatched records. No arguments, key or credit. This cannot process custom data; use reconcile_tables with a paid key for your files.
• inspect_table
  Profile a CSV or explicit string table before writing a recipe. Return empty, distinct and duplicate-value counts per column and complete formula warnings; no schema or business validity is inferred. Supply CSV OR columns/rows, never both. JSON numbers must be encoded as strings so identifiers keep
• prepare_table
  Select, rename, derive and convert columns using a caller-owned version-1 recipe. Rules reference original input headers; output follows recipe order and omitted columns are listed. All input rows remain. Any failed conversion returns valid=false, all findings and csv_text=null, never a partially tr
• reconcile_tables
  Join two bounded tables using exact string or composite keys. Both sides must have non-empty unique keys: duplicates block the entire output, including many-to-many matches. Choose left, inner or full retention explicitly; unmatched records are reported even if excluded. Optional compare fields flag
• validate_csv
  Check a CSV against your explicit schema; return all issue counts and at most 200 detailed findings. Headers match exactly; required=false permits empty cells, not missing headers. Unique compares raw non-empty strings. Dates use YYYY-MM-DD, decimals use a dot without grouping, booleans use true/fal
• clean_csv
  Apply only requested column renames and transformations, then validate the output against schema. Cleanup column names refer to the original headers; schema names refer to the renamed output. Transformations run in listed order. decimal_comma changes only plain numbers such as 12,50; ambiguous group

Website · JSON · Text for agents · Registry updated 2026-10-01