pulsemcp verified Safe content atomic mcp-remote

Excel Reader

This MCP server implementation provides tools for reading Excel (xlsx) files, offering functionality to extract content from all sheets or specific sheets by name or index. Developed by SoftGrid Inc., it uses the openpyxl library for Excel file handling and is built on Python 3.10+. The server returns data in a structured JSON format, handling empty cells and data type conversions. It's designed for easy integration into AI-driven workflows that require Excel data processing, such as financial analysis, data migration, or automated reporting. The implementation focuses on clear error handling and supports various Excel reading scenarios, making it suitable for both simple data extraction tasks and more complex Excel-based operations.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: data-analytics
Source: PulseMCP
Repository: github.com/softgridinc-pte-ltd/mcp-excel-reader-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Excel Reader 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"