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20 Best Spreadsheets MCP Servers: compared and ranked, November 2026Ranked from 967 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI apps to connect Microsoft Advertising accounts, read campaigns and reports, and save campaign changes as drafts that only go live after approval.
    5
    MIT
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    Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.
    13
    35 PyPI
    20
    MIT
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    Turn any Google Sheet into a CRM (leads, organizations, contacts, activities) from MCP clients. Stateless FastMCP server - HTTP or stdio.
    MIT
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    Enables agents to synthesize multi-tab enterprise spreadsheet financial models, detect circular references, compile formula dependency DAGs with functions like SUMIFS/XLOOKUP/CAGR/NPV, and evaluate deterministic preview cell matrices.
    7
    MIT
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    A Model Context Protocol (MCP) server for Microsoft Advertising (Bing Ads / DuckDuckGo Ads). This server enables AI assistants to create, manage, and report on Microsoft Advertising campaigns programmatically.
    2
    MIT
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    Customer lists of B2B software: every company using a technology (HubSpot, Stripe, Zendesk and 4,000+ more), with the evidence and date for each detection, and the new customers every week. Hosted remote server at https://mcp.useagentdata.com/mcp; it connects with your AgentData account (sign in, or paste an API key). Website: https://useagentdata.com
    6
    60 npm
    MIT
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    An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!
    33
    2,112 npm
    78
    GPL 3.0
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    Create, review and edit editable Word, PowerPoint, Excel and PDF files from any AI agent. Remote MCP server with OAuth sign-in or an API key, or local over stdio with npx @doconda/mcp.
    8
    342 npm
    2
    MIT
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    Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.
    77
    3,187
    Apache 2.0
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    We all edit, including LLMs. Now using any MCP compatible client your can embed 'Microsoft's Edit CLI' in your chat workflow.
    9
    3
    MIT
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    Lets coding agents like Claude Code, Cursor, and Codex call MONA Pay directly while developing, so they can create VietQR codes and checkout links, look up incoming transactions, link bank accounts via OTP, and configure or test webhooks (plus email and Zalo notifications) without leaving the editor. It also verifies HMAC-SHA256 webhook signatures offline and generates ready-to-use webhook handler snippets and sandbox transactions for end-to-end payment testing.
    50
    124 npm
    MIT
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    quality
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    A unified MCP server that lets AI agents (Claude Code, Codex, Cursor) deploy web apps and VPS instances, provision Supabase-compatible Postgres/Auth/Storage databases, register DNS domains, and send transactional email using a shared MONA Pass identity and VND wallet. It also embeds MONA Pay tooling for VietQR top-ups, checkout, webhooks and reconciliation, so agents can handle payment requests, budget approvals and resource lifecycles end to end.
    186
    144 npm
    MIT
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    Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.
    18 npm
    MIT
  • F
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    Built-in MCP server for a self-hosted MySQL CMS, with schema inspection, record reads and optional writes governed by existing CMS permissions. Install through npm or Docker; maintained by Yunsoft: https://yunsoft.com.
    7
    -
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    A Model Context Protocol server that gives AI agents real-time access to Excel workbooks in OneDrive, answering natural-language questions with live data. It caches only sheet structure, never cell values, and fetches current ranges via Microsoft Graph for each query.
    11
    5
    MIT
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    A Model Context Protocol server designed for AI assistants to directly process spreadsheet files, enabling them to read, display, modify, and save various table formats like CSV and Excel.
    3
    3
    MIT
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    Enables AI agents to work with a real Excel-compatible spreadsheet engine, allowing them to create and manipulate structured data blocks, write and evaluate formulas, and save genuine .xlsx files with live formulas for human verification and reuse.
    31
    70 npm
    41
    MIT
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    Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.
    5
    2
    MIT
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    Functional API testing over MCP. Turns user stories into multi-step YAML test flows (chained calls, saved IDs, value and schema checks), adds read-only database checks that prove each change was stored, and generates negative and boundary tests from OpenAPI, including nested fields, where every bad input must get a 4xx and never a 5xx. Guardrails refuse writes on production-like environments, keep
    8
    MIT
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    MCP server for accurately reading and writing Excel .xlsx files while preserving structure, styles, and formulas. Provides tools for inspecting, editing, and aggregating spreadsheet data, with optional LibreOffice recalculation.
    29
    54 PyPI
    4
    MIT
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    Enables AI agents to query Excel, CSV, Parquet, and NDJSON files as SQL tables, joining data across formats and sheets and exporting results to CSV or Excel.
    1
    Apache 2.0
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    Enables AI assistants to open real pages and return Selenium locators verified to match exactly one element, convert user stories into pytest, JUnit 5 or TestNG skeletons, run suites and report the failing locator and its line, and self-heal broken locators in CI with confidence scores, automatic re-runs, reverts and a reviewable audit trail. Works for both Python and Java test projects, including Page Objects and @FindBy annotations.
    MIT