Import Check: Validate & Clean CSV

Connect it to your AI

Claude Code

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

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://check.orvel.dev/mcp

This server expects extra headers, usually an API key from its maker.

Cursor, VS Code and other apps (mcp.json)

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

Tools it offers

10 tools, as the server itself reported during our check on Oct 31, 2026.

• get_csv_exampleReturn 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_demoValidate 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_usageRead remaining operations and expiry for the API key supplied in the Authorization header. Does not consume credit.
• get_table_exampleReturn 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_demoJoin 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_tableProfile 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 column
• prepare_tableSelect, 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 conv
• reconcile_tablesJoin 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 explicitl
• validate_csvCheck 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.
• clean_csvApply 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 liste

Questions