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20 Best Spreadsheets MCP Servers: compared and ranked, November 2026Ranked from 951 matching servers on stars, growth, downloads and maintenance. Updated .

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    An MCP server that enables AI agents to read, create, and modify Google Spreadsheets through actions like editing cells and managing sheets. It features a specialized handoff protocol to synchronize tasks and state between different LLMs using a shared spreadsheet log.
    649 npm
    MIT
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    A
    quality
    D
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    29 PyPI
    29
    Apache 2.0
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    An MCP server and autonomous agent for Google Ads: build search campaigns, analyse what they're doing, and optionally let it make spend-reducing changes on a schedule without a human in the loop.
    41
    MIT
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    3
    MIT
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
    19
    1,268 npm
    7,076
    MIT
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    Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.
    1
    Apache 2.0
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    Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.
    7
    MIT
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    B
    maintenance
    Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.
    40 npm
    2
    Apache 2.0
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    Enables autonomous AI agents to safely inspect, optimize, and manage live search campaigns through 38 purpose-built tools covering bids, budgets, keywords, RSAs, assets, and negative keyword harvesting. Bundles two-layer Pydantic execution shields with bounded bid ceilings and fixed stepping, a preflight gatekeeper, and W3C distributed tracing that separates upstream Google Ads API latency from local execution overhead.
    MIT
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    Google Chat MCP server that lets AI assistants like Claude and Cursor participate directly in team conversations - search messages, help teammates, share files, and coordinate across chat platforms.
    27
    Python
    MIT
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    C
    maintenance
    Enables MCP clients such as Claude Desktop to hand tasks to a running DeepSeek Harness window, where each task becomes a real session visible in the sidebar with a reusable session id. If the in-process plugin is unavailable, it falls back to running the task headless so the tool still returns a result.
    MIT
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    Enables AI agents to manage Google Ads accounts through the Google Ads API v23 with 92 tools for account audits, campaign creation, budget pacing, competitive insights, Enhanced Conversions, and cloud deployment. It supports autonomous operations such as PMax/Search setup, policy diagnostics, and offline conversion uploads.
    MIT
  • F
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    Enables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.
    1
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    Enables coding agents to load and route reusable, file-defined thinking routines as checklists or staged procedures, injecting the relevant chains into prompts when a task matches.
    5
    10 npm
    MIT
  • A
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    Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.
    7
    2
    MIT
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    Persistent, structured memory server for AI agents using the Model Context Protocol, with categorized storage and tools to add, get, delete, and list memories.
    4
    AGPL 3.0