Excel File Manipulation
This Excel MCP server by haris-musa enables AI assistants to manipulate Excel files without requiring Microsoft Excel installation, using the openpyxl library for comprehensive workbook operations. The implementation provides 25+ tools covering workbook creation, data reading/writing with validation metadata, rich formatting with conditional rules, formula application with syntax validation, chart generation, pivot table creation, and native Excel table support. Key differentiators include intelligent data validation detection that exposes dropdown lists and constraint rules to AI assistants, dual transport support (stdio/SSE) with configurable file path handling, and robust error handling with custom exception types, making it valuable for automating Excel-based workflows, data analysis tasks, and report generation where users need programmatic Excel manipulation through natural language interactions.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/haris-musa/excel-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Excel File Manipulation 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.