MCP server

Import Check: Validate & Clean CSV

io.github.LeBorgneAntoine/import-check

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

10

Token cost

About 4,552 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.import-check]
url = "https://check.orvel.dev/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"import-check":{"type":"http","url":"https://check.orvel.dev/mcp"}}}

Antigravity

agy mcp add import-check https://check.orvel.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"import-check","server_url":"https://check.orvel.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"import-check","server_url":"https://check.orvel.dev/mcp"}

Tools

• clean_csv ~1074 tokens
  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
• get_csv_example ~76 tokens
  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.
• get_csv_usage ~68 tokens
  Read remaining operations and expiry for the API key supplied in the Authorization header. Does not consume credit.
• get_table_example ~92 tokens
  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.
• inspect_table ~398 tokens
  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 ~870 tokens
  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 ~989 tokens
  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 ~808 tokens
  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
• view_csv_demo ~88 tokens
  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.
• view_table_demo ~89 tokens
  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.

Browse

• GitHub tools
• Website monitoring
• Spreadsheets
• Email
• GitHub and code hosting

Related MCP servers

• Calaf Seed Tools
  Author and validate Calaf workspace seeds against the app's real importer. No account needed.
• Bootify
  Build Spring Boot applications, ready for coding agents, including best practices.
• Agent Revenue Network
  Translation, data quality, execution verification and agent utilities over MCP + x402 USDC on Base.
• Agent Decision & Evidence Tools (MCP + x402)
  40 MCP tools: multi-chain RPC, market and transaction decisions, AI, EU compliance and US imports
• Vino & Views
  Free reports, EVM/Solana token payment links and capped zero-fee EVM USDC escrow. Wallet signatures.
• Invoice Table
  Review invoice records, flag duplicates, validate totals, and prepare spreadsheet-safe CSV.
• Agiscorecard Web3 Reconcile
  Reconcile declared stablecoin invoices and transfers; flag partial, pending and mismatched payments.
• chucho — Book Direct
  Find vacation rentals worldwide by describing the trip, check host prices and book direct.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.LeBorgneAntoine/import-check.svg)](https://aptlynx.net/servers/io.github.LeBorgneAntoine/import-check)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents