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    A read-only MCP server that connects to Proton Mail via Proton Bridge, enabling AI assistants to search, list, and read emails securely without leaving your machine.
    4
    22 npm
    1
    MIT
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    An MCP server that exposes a local notmuch email database to an LLM client such as Claude. It is read-first: searching, reading, and understanding mail is always available; writing anything (drafts, tags, exported files) requires an explicit opt-in flag and is confined to clearly bounded locations.
    13
    1
    MIT
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    ▎ Check an email before an AI agent sends it: send / ask a human / block — with machine reason codes and prompt-injection detection.
    2
    2
    MIT
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    Gives AI agents their own email address with inbound parsing, classification, extraction, and prompt injection screening, plus tools to manage mailboxes, send/receive emails, and handle draft approval workflows.
    14
    56 npm
    MIT
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    A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.
    7
    4
    Apache 2.0
  • F
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    Enables an LLM client to read a structured CV resource and send tailored application emails to recruiters via SMTP.
    1
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    Gives Claude (or any LLM) full control over Apple Mail — read, search, compose, reply, move, flag, and delete messages — via AppleScript on your local machine, with no cloud intermediary.
    22
    59 npm
    2
    MIT
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    An email operating system for AI agents that provides safe triage, drafting, and searching of emails with unbypassable hard-stops on money, banking changes, first-contact senders, and prompt injection.
    12
    107 npm
    MIT
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    MCP server for any Microsoft Exchange / OWA deployment. Gives LLM agents access to email, calendar, directory search, folders, availability, and meeting analytics via 30 tools.
    30
    26 PyPI
    8
    MIT
  • A
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    MCP server that converts .eml email exports (Gmail, Outlook, and other archives) into clean Markdown with YAML front matter — splitting reply threads, stripping signatures and quoted history, extracting attachments, and parsing calendar invites. Built for feeding archived email into RAG and LLM pipelines.
    4
    532 PyPI
    8
    PolyForm Noncommercial 1.0.0
  • A
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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
    28 PyPI
    2
    MIT
  • A
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    Enables LLM clients to read and search email via IMAP with tools for listing folders, searching messages, and fetching message content. It supports pagination, snippets, and thread context, and is designed for local AI workflows.
    10
    MIT
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    A local MCP server that provides LLM clients with read/write access to email and calendar data from Gmail, iCloud, and generic IMAP providers. It runs entirely on your machine, keeping data private while enabling email management, calendar operations, and task handling through natural language.
    39
    MIT
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    Enables LLM agents to search, browse folders, read emails as Markdown (including Teams meeting links), and create draft messages through the real Microsoft Outlook Web client driven by a Playwright browser bridge. Drafts are never sent automatically, letting users review and approve messages in Outlook before sending.
    11
    170 npm
    MIT
  • A
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    Enables users to submit an email and receive a calibrated phishing probability, indicators, and optional LLM-written explanation, with tools to analyze email, explain verdicts, and view current thresholds.
    2 npm
    MIT
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    Enables MCP-compatible LLM clients to manage a Listmonk instance end-to-end through its full REST API, covering subscribers, campaigns, lists, templates, media, bounces, imports, settings, transactional messages, and admin functions, with selective tool loading for a leaner context.
    35 npm
    1
    MIT