INDIVIDUAL MCP TOOL

json_to_csv

Serialize string-valued JSON rows to CSV using explicit ordered columns.

computefirst.netnone authenticationAvailability not checked

LIVE ENDPOINT

https://computefirst.net/mcp/chatgpt

No auth detected

Connect to this endpoint to inspect the live schema for json_to_csv 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.computefirst]
url = "https://computefirst.net/mcp/chatgpt"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "computefirst": {
      "type": "http",
      "url": "https://computefirst.net/mcp/chatgpt"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: computefirst
Remote MCP URL: https://computefirst.net/mcp/chatgpt

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": {
    "computefirst": {
      "url": "https://computefirst.net/mcp/chatgpt"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "computefirst": {
      "type": "http",
      "url": "https://computefirst.net/mcp/chatgpt"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "computefirst",
  "transport": "streamable-http",
  "url": "https://computefirst.net/mcp/chatgpt"
}

MCP Inspector

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

csv_reconcile — Reconcile two CSV documents by key columns, reporting full population totals and bounded samples for added, removed, changed, invalid-key, and ambiguous rows.
csv_to_json — Convert a complete CSV document into an array of string-valued objects.
csv_dedupe — Remove duplicate CSV data rows while preserving the first occurrence.
csv_inner_join — Inner join two CSV documents on exact named key columns.
csv_left_join — Left join two CSV documents on exact named key columns.
csv_group_count — Count CSV rows by exact named-column tuples in first-seen order.
csv_schema_check — Validate a CSV document against an ordered column list and per-column string constraints.
csv_select_columns — Select and reorder exact named columns from a complete CSV document.