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20 Best Email MCP Servers: compared and ranked, September 2026Ranked from 2,467 matching servers on stars, growth, downloads and maintenance. Updated .

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  • F
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    maintenance
    一个基于Model Context Protocol的SQLite数据库查询服务,为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。
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  • A
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    A
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    A
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    Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.
    12
    6
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.
    4
    MIT
  • A
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    A
    quality
    C
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
  • A
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    A
    quality
    D
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    A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
    5
    58 npm
    MIT
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    C
    quality
    D
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
    19
    22 npm
    6
    MIT
  • A
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    This read-only MCP Server allows you to connect to Email data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
    MIT
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    C
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    A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities through SAP BTP integration.
    22 npm
    132
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Publishes a read-only data handle exposing SQL querying and URL fetching, plus a separately scoped read-write handle for actions like issuing refunds and sending customer email. Every call is checked against a permission set frozen before any untrusted text is read, with irreversible actions held behind one or two human approval signatures.
    MIT
  • F
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    maintenance
    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
    15
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  • F
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    B
    maintenance
    Enables querying of live organizational data (student records, outcomes, certifications, finances, donations, communications) via Claude using structured database queries and semantic search.
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  • F
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    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
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  • F
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    quality
    C
    maintenance
    A collection of MCP servers for database management and Gmail integration, allowing AI agents to perform database queries and email operations.
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  • F
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    D
    maintenance
    An MCP server that provides structured analytics for email data by extracting signals like topic, tone, and urgency using a local LLM. It allows users to query email distributions, sender patterns, and specific signals through a SQLite-backed interface.
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