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19 Best Email MCP Servers: compared and ranked, October 2026Ranked from 3,021 matching servers on stars, growth, downloads and maintenance. Updated .

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    A stdio MCP server exposing a validate_emails tool that lets agents screen email lists without sending mail or probing SMTP, checking syntax, DNS/MX records, disposable domains, role accounts, free providers, typo suggestions, and SPF/DMARC. Each address comes back with a valid/risky/invalid/unknown verdict plus machine-readable reason codes so agents can clean leads and signups before outreach or import.
    2
    MIT
  • A
    license
    A
    quality
    C
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    A read-only MCP server for querying SQL Server Analysis Services (multidimensional cubes via MDX and tabular models via DAX) using Windows Integrated Security.
    3
    1
    MIT
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    Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.
    8
    1
    MIT
  • F
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    Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.
    1
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    quality
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    Resolves messy company, customer, and vendor names across CRM, ERP, and ITSM systems to canonical records using fuzzy matching, preventing AI agents from updating or creating wrong or duplicate records.
    5
    MIT
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    quality
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    Enables AI agents to list metrics and dimensions, inspect definitions, and run governed metric queries against Apache Iceberg tables through a semantic layer, without writing SQL or accessing raw rows or columns outside their role.
    5
    Apache 2.0
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    Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.
    6
    10 npm
    2
    MIT
  • F
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    Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.
    12
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    B
    quality
    B
    maintenance
    AI-native service orchestration platform. Discover MCP services by capability, chain multi-service-workflows at runtime, and authenticate per-user via JWKS/External OAuth. A single pAIchart MCP server needs only 10 tools to access hundreds of registered local or network MCP servers solving the context issue individual MCP server tools impose. Enabled by pAIchart's service_call innovation.
    2
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    Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.
    2
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    MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.
    2
    9 npm
    2
    MIT
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    A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.
    16
    7 npm
    10
    MIT
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    Not graded
    quality
    C
    maintenance
    Enables remote MCP clients to perform host, file, process, and DataOps operations through a persistent gateway without locally storing CLI logins, SSH keys, or host pins, using standard Streamable HTTP and OAuth.
    MIT
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    MCP server for the Postern personal context gateway, enabling agents to read and act on data from finance, health, mail, calendar, contacts, and home sources through a unified, cached interface.
    2 npm
    1
    Apache 2.0
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    Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.
    28 PyPI
    7
    MIT