Excel Reader
This MCP server, developed by ArchimdesCrypto, provides a standardized interface for reading Excel files with automatic chunking and pagination support. Built with TypeScript and leveraging the Model Context Protocol SDK and SheetJS library, it offers tools for efficient handling of large Excel datasets. The implementation focuses on breaking down Excel files into manageable chunks, enabling AI models to process extensive spreadsheet data without memory constraints. By connecting AI assistants with Excel file content, this server allows for sophisticated data analysis, reporting, and manipulation tasks. It's particularly useful for applications dealing with large-scale data processing, financial analysis, or any scenario requiring programmatic access to Excel file contents through a standardized MCP interface.
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
- finance
- Source
- PulseMCP
- Repository
- github.com/archimedescrypto/excel-reader-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via 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--scope user for --scope project to commit it to .mcp.json.