"Apache Spark" matching MCP servers:

Enables AI-powered document platform integration for Claude Code, Cursor, and Cline, providing session management, knowledge base, usage tracking, sheet operations, and Spark AI features.

Enables synthesis of multi-tab financial models with circular-reference detection, formula dependency DAG compilation (SUMIFS, XLOOKUP, CAGR, NPV), and deterministic preview cell matrix evaluation through MCP.

A robust MCP server that transforms OneNote notebooks into an AI-accessible knowledge base for Gemini Spark, enabling natural language queries to list, read, and search notes via Microsoft Graph API.

Streamable HTTP bridge that exposes OfficeCLI MCP tools (create, view, query, etc.) to Gemini Spark via a hosted server, deployable on Coolify.

Enables AI assistants to interact with Slack workspaces by listing channels, posting messages and thread replies, adding emoji reactions, retrieving channel history and thread replies, and inspecting user profiles. Supports both stdio and Streamable HTTP transports for flexible integration.

A stateless MCP server that wraps OfficeCLI to create and edit Microsoft Word documents via AI instructions, outputting Base64 Data URLs for serverless environments like Vercel.

Enables transformation of raw multi-source enterprise findings into comprehensive, structured executive briefings with auto-generated executive summaries, risk registers, decision matrices, and appendix citations. It runs as a native MCP server with zero external dependencies.

Enables analysis of multi-speaker meeting transcripts from Tencent Meeting, Zoom, and Teams to extract explicit commitments, dates, and assignees. It prioritizes tasks with an Eisenhower urgency-importance matrix and formats collaborative task cards for WeChat Work dispatch.

Enables enterprise work agents to decompose high-level business objectives into topological sub-tasks and directly synthesize final deliverables such as financial spreadsheets, executive presentations, and analytical reports.

Enables personal AI agents to triage digital clutter by classifying orphaned downloads, duplicate screenshots, and stale browser bookmarks, returning a prioritized decluttering queue with actionable recommendations. It runs locally as a zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf.

Enables transforming raw enterprise documents, meeting transcripts, and KPI metrics into structured executive slide decks with layout templates, card callouts, speaker notes, and timing budgets through MCP-compatible workflows.

Enables users to scan enterprise MSAs, NDAs, and Vendor SOWs in Tencent Docs for high-risk clauses such as unlimited indemnity, one-sided IP assignment, perpetual non-compete, and evergreen auto-renewal traps; calculates composite risk scores and generates precise legal redlines.

Enables personal AI agents to triage inbox items by classifying their actionability, effort duration, and urgency, producing a prioritized queue with elastic recommendations. It plugs into MCP-compliant clients such as Claude Desktop and Cursor to protect focus and reduce attention fragmentation.

Enables autonomous resolution of multi-timezone calendar event overlaps and negotiation of deep-work buffers through deterministic, zero-dependency MCP-compatible tooling.