csv MCP Setup & Guide
io.github.mrfentmen/csv-mcp · v1.0.1
Parse, filter, and inspect CSV data locally. No network and no key.
Copy the install config on this page first, then verify docs and permissions upstream.
Overview
Parse, filter, and inspect CSV data locally. No network and no key. csv-mcp is a MCP Server listed from MCP Registry. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
Use cases
AgentHub Verified AvailabilityTested & Ready
Automated pipeline validated install commands, protocol & client compatibility
Copy by platform
Choose your platform
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Setup tutorial
- Open the csv-mcp page and confirm this MCP Server (source: MCP Registry).
- Copy the Cursor, Claude Code, or VS Code snippet.
- Merge it into mcpServers and replace env placeholders with real secrets.
- Reload the window, then call the MCP tools from your agent chat.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Claude Code (local)
- Install Claude Code CLI
- Copy the command below, replace <placeholders> with real env values, then run in terminal
- See Environment variables below if listed
claude mcp add csv-mcp -- npx -y @mrfentmen/csv-mcpCursor — .cursor/mcp.json (local)
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}VS Code — .vscode/mcp.json (local)
- Install GitHub Copilot in VS Code with MCP support
- Open or create .vscode/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets
- Save and Developer: Reload Window
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Claude Desktop — claude_desktop_config.json (local)
- Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
- Click Copy config and merge under mcpServers
- Replace <placeholders> in env with real secrets
- Fully quit and restart Claude Desktop
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Trae — .trae/mcp.json (local)
- Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
- Click Copy config and merge mcpServers
- Replace <placeholders> in env with real secrets
- Save and reload Trae
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Cherry Studio — MCP settings (local)
- Cherry Studio → Settings → MCP Servers → Add (STDIO)
- Or import JSON: click Copy config and merge mcpServers
- Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
- Enable the server and check tools load
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Tongyi Lingma — MCP config (local)
- Lingma Settings → MCP → + → STDIO or config file
- Click Copy config and merge mcpServers
- Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
- Confirm connected before using tools in agent chat
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Windsurf — mcp_config.json (local)
- Edit ~/.codeium/windsurf/mcp_config.json
- Click Copy config and merge mcpServers (stdio same as Cursor)
- Replace <placeholders> in env, save, refresh Cascade
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Cline — MCP Servers (local)
- Cline panel → Settings → MCP Servers
- Click Copy config and merge
- Replace <placeholders> in env, then save
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}WorkBuddy — .workbuddy/mcp.json (local)
- Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
- Or Plugins → MCP Servers → Configure MCP and paste the JSON below
- Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
- Save, restart WorkBuddy, confirm connector status is green
{
"mcpServers": {
"csv-mcp": {
"command": "npx",
"args": [
"-y",
"@mrfentmen/csv-mcp"
]
}
}
}Troubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for csv-mcp
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for csv-mcp?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Tool calls timing out or failing to download packages?
First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.
Tool Mock Playground
Sandboxcsv-mcp Tool Interface Simulation · Preview tool schema & outputs without local runtime
{
"target": "csv-mcp",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- PR review
- Changelog generation
- Cross-repo issue search
- Replacing human security audit
- Unauthorized repo access
csv-mcp + Scenario Prompt → Complete Agent Automation
MCP hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
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Keep exploring AgentHub
Most people compare similar tools or check scenario guides before installing—start here.
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Unified Manifest
{
"id": "io.github.mrfentmen/csv-mcp",
"type": "mcp-server",
"version": "1.0.1",
"displayName": "csv-mcp",
"description": "Parse, filter, and inspect CSV data locally. No network and no key.",
"repository": {
"url": "https://github.com/mrfentmen/csv-mcp",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "@mrfentmen/csv-mcp",
"version": "1.0.1",
"transport": "stdio"
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.mrfentmen/csv-mcp",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.mrfentmen%2Fcsv-mcp/versions/latest",
"isOfficial": true,
"status": "active"
}
}