MCP server
NoCodeCSV
io.github.CindyLiao1106/nocodecsv
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Ask questions about a CSV in plain English and get answers, charts and cleaned data back.
Working at last checkAbout 300 tokens per request once connected2 tools
https://nocodecsv.com/api/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 300 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
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 nocodecsv https://nocodecsv.com/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.nocodecsv] url = "https://nocodecsv.com/api/mcp"
Gemini CLI
{"mcpServers":{"nocodecsv":{"httpUrl":"https://nocodecsv.com/api/mcp"}}}
Cursor
{"mcpServers":{"nocodecsv":{"url":"https://nocodecsv.com/api/mcp"}}}
VS Code
{"servers":{"nocodecsv":{"type":"http","url":"https://nocodecsv.com/api/mcp"}}}
Antigravity
agy mcp add nocodecsv https://nocodecsv.com/api/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":"nocodecsv","server_url":"https://nocodecsv.com/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"nocodecsv","server_url":"https://nocodecsv.com/api/mcp"}
Tools
analyze_csv~162 tokens
Ask a question about CSV data in plain English and get a written answer back (totals, trends, outliers, comparisons, a recommended chart). The CSV text is analysed and discarded; nothing is stored.csv_profile~138 tokens
Return a deterministic profile of CSV text: row count, column count, each column's name, whether it looks numeric or text, and how many blanks it has. Runs locally without an AI model, so it is fast and always available.
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