"DeskCrew - Workspace or Office Crew Management Platform" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables creation and manipulation of Microsoft Office files (Excel, Word, PowerPoint) through natural language commands. Supports generating spreadsheets with formulas and charts, formatted documents with tables, and presentations with various layouts without requiring Office installation.

MCP server for tracking decision logs and open questions in AI-assisted projects, offering tools to fetch context, list decisions and open items, and draft new decisions.

AI-powered Office automation server that enables creating, editing, and processing Word, Excel, and PowerPoint documents through natural language instructions using Python-based libraries.

A local MCP server that lets Claude, Cursor, Codex, or any MCP client work with Office documents on your Mac: evaluate spreadsheet formulas, read/write XLSX and PPTX, extract structured DOCX content, and merge/split/protect PDFs. 100% local, no network calls, no account. 14 tools.

Policy layer for multi-agent workspaces: one JSON policy file decides what each path is worth; agents can audit, explain and dry-run clean plans themselves, nothing is ever deleted by pattern, and every action lands in a hash-chained journal. Zero dependencies; pip install workspace-metabolism then wm mcp.

A server providing tools to read, write, and edit Microsoft Word (docx) files through the Model Context Protocol, allowing operations like complete document reading, content creation, targeted paragraph editing, and text insertion.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Bridges Claude AI with the local filesystem for direct file and project management, enabling incremental saves and automatic work logs to overcome token limits.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Provides tools to extract, convert, and generate Microsoft Office documents (Word, Excel, PowerPoint) via the Model Context Protocol, with support for reading, editing, and auditing document content.

AI-powered professional document generation server that creates Word and Excel documents with multiple themes, Mermaid diagrams, and Chinese national standards compliance, integrated via MCP protocol.

Enables reading, writing, editing, and converting Office documents (ODT, DOCX, ODS, XLSX, PDF, etc.) using MCP tools, with no external dependencies.

Enables AI assistants to perform file system operations within a specified project directory, including reading, writing, editing, and managing files, with optional read-only access to reference projects.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.

Secure local development platform that exposes controlled developer capabilities (FS, Git, search, command execution) to AI assistants via MCP with deny-by-default security and audit logging.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

Project-scoped semantic workspace memory for AI coding assistants. Watches your project files and auto-indexes code and docs into Qdrant using tree-sitter semantic chunking and hybrid search (dense + sparse + RRF)