"Working with Excel or Excel tutorials" matching MCP servers:

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Read, write, analyze and test the VBA inside Excel, Word, PowerPoint and Access files, and edit the document around it. The file layer needs no Office installation and runs anywhere; running macros and tests needs Windows with Office.

Integrates local language models (like Qwen3-8B) with MCP clients, providing tools for chat, code analysis, text generation, translation, and content summarization using your own hardware.

Enables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.

Enables ChatGPT Pro web to securely read workspace files, git diffs, and test records through OAuth-protected read-only MCP tools, so it can plan and review while Codex handles execution without uploading the repository.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.

Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.

locidx

A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases at the symbol level rather than working with entire files.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

Enables AI assistants to inspect, refactor, lint, run, and version Power Query (M) queries in Excel workbooks and Power BI projects, with snapshot safety and live evaluation.

Infimium is an MCP server that gives AI agents persistent memory, deep dependency graphs, and instant code context for repositories. It provides tools like semantic code search, symbol expansion, and local docs retrieval to minimize token bloat while working with large codebases.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

Preserves context across multiple codebases with AI capabilities. For more info visit https://app.prode.ai

MCP server providing parser-backed validation, parsing, documentation, and editor assistance for AI agents working with _hyperscript.

A local MCP server for working with Logisim-evolution .circ projects, providing structured project inspection, guarded edits, validation, circuit analysis, test execution, format conversion, and GUI launch.

Enables AI coding agents to access evidence-backed repository memory, code graph, project DNA, and deterministic change validation so they understand design decisions, past bugs, and invariants while working.

Enables AI coding agents to receive continuous, structured software-quality feedback from Jev across multiple quality dimensions while working locally.

A Windows-optimized MCP suite with an interactive CLI hub for local stdio execution, enabling Excel, Word, workspace exploration, and TypeScript diagnostics, along with extensible user plugins.