pulsemcp Safe content atomic mcp-remote

CSV Editor

CSV Editor MCP server by Santosh Ray provides AI assistants with pandas-powered CSV file operations including data loading, filtering, transformation, statistical analysis, and quality validation through a session-based architecture. Built with FastMCP and featuring auto-save capabilities, operation history tracking, and support for multiple formats (CSV, Excel, Parquet), the implementation offers tools for data cleaning, outlier detection, correlation analysis, and schema validation with comprehensive error handling and type safety. Designed for data analysts, researchers, and AI workflows requiring robust CSV manipulation capabilities, it serves use cases like data preprocessing pipelines, exploratory data analysis, and automated data quality assessment where pandas functionality needs to be accessible through conversational AI interfaces.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/santoshray02/csv-editor
Author type: human
Updated: 2026-05-14

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MCP

Resolve CSV Editor from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"