Import Check: Validate & Clean CSV

io.github.LeBorgneAntoine/import-check · v0.2.0 · data-and-databases

Import Check: Validate & Clean CSV is healthy: it completed an MCP handshake in 2504 ms and exposes 10 tools.

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

Endpoint: https://check.orvel.dev/mcp (streamable-http)

No repository listed · Website · JSON · Add to my inventory

Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count10
Latency2504 ms
Last checked (UTC)2026-10-15T01:50:43.325Z

Health history

Checked (UTC)StatusLatencyError
2026-10-15T01:50:43.325ZHealthy2504

Tools (10)

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 columns/rows, never both. JSON numbers must be encoded as strings so identifiers keep
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 conversion returns valid=false, all findings and csv_text=null, never a partially tr
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 explicitly; unmatched records are reported even if excluded. Optional compare fields flag
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. Dates use YYYY-MM-DD, decimals use a dot without grouping, booleans use true/fal
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 listed order. decimal_comma changes only plain numbers such as 12,50; ambiguous group