view_csv_demo

Validate the fixed example with the current engine.

import-check-production.up.railway.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://import-check-production.up.railway.app/mcp

No auth detected

Connect to this endpoint to inspect the live schema for view_csv_demo and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.import-check]
url = "https://import-check-production.up.railway.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "import-check": {
      "type": "http",
      "url": "https://import-check-production.up.railway.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: import-check
Remote MCP URL: https://import-check-production.up.railway.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "import-check": {
      "url": "https://import-check-production.up.railway.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "import-check": {
      "type": "http",
      "url": "https://import-check-production.up.railway.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "import-check",
  "transport": "streamable-http",
  "url": "https://import-check-production.up.railway.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_csv_example — Return a fixed synthetic CSV and its column schema.
get_csv_usage — Read remaining operations and expiry for the API key supplied in the Authorization header.
validate_csv — Check a CSV against your explicit schema; return all issue counts and at most 200 detailed findings.
clean_csv — Apply only requested column renames and transformations, then validate the output against schema.