IMAP MCP
MCP ServerFree** - 📧 An IMAP Model Context Protocol (MCP) server to expose IMAP operations as tools for AI assistants.
Capabilities8 decomposed
imap mailbox connection and authentication
Medium confidenceEstablishes secure connections to IMAP servers using configurable host, port, and authentication credentials. Implements connection pooling and session management to maintain persistent IMAP connections across multiple tool invocations, reducing authentication overhead and enabling stateful operations within a single MCP session.
Exposes IMAP as an MCP tool interface rather than a library, allowing LLM agents to invoke email operations directly without custom integration code. Uses Python's imaplib under the hood with connection pooling to maintain state across tool calls.
Simpler than building custom email integrations for each AI framework; more flexible than email-specific APIs (Gmail API, Microsoft Graph) because it works with any IMAP server including self-hosted instances
mailbox listing and folder traversal
Medium confidenceEnumerates all available mailboxes and folders on the connected IMAP server using the LIST command, returning folder names, hierarchy levels, and special folder attributes (e.g., \Drafts, \Sent, \Trash). Supports recursive folder discovery and filtering by folder type or naming patterns.
Exposes IMAP LIST command as a structured tool that returns folder metadata in a format LLMs can parse and reason about, rather than raw IMAP protocol output. Handles UTF-7 encoding transparently.
More comprehensive than Gmail API's label listing because it works with any IMAP server and returns folder hierarchy information; faster than manual folder navigation because it fetches all folders in a single operation
email search with imap query syntax
Medium confidenceExecutes IMAP SEARCH commands using RFC 3501 query syntax (e.g., SINCE, BEFORE, FROM, TO, SUBJECT, BODY, UNSEEN) to locate emails matching complex criteria. Translates human-readable search parameters into IMAP protocol commands and returns message UIDs for matched emails, enabling efficient server-side filtering without downloading full message bodies.
Abstracts IMAP SEARCH protocol complexity into a tool interface with named parameters, allowing LLMs to construct searches without understanding RFC 3501 syntax. Handles server-specific search capability detection and fallback strategies.
More powerful than Gmail API's simple label-based filtering because it supports arbitrary IMAP search criteria; more efficient than client-side filtering because it leverages server-side indexing
email message fetching and parsing
Medium confidenceRetrieves full email messages by UID using IMAP FETCH command, parsing MIME structure to extract headers (From, To, Subject, Date, CC, BCC), plain-text and HTML body content, and attachments. Automatically decodes quoted-printable and base64 encoding, handles multipart messages, and returns structured email objects with normalized field names.
Implements full MIME parsing on top of IMAP FETCH, automatically handling multipart messages, encoding decoding, and attachment extraction. Returns normalized email objects instead of raw IMAP protocol responses.
More complete than raw IMAP FETCH because it handles MIME parsing automatically; more flexible than Gmail API because it works with any IMAP server and exposes full MIME structure
email flag and status management
Medium confidenceModifies email flags (\Seen, \Answered, \Flagged, \Deleted, \Draft) using IMAP STORE command, enabling agents to mark emails as read, flag for follow-up, or delete. Supports batch flag operations on multiple messages and returns confirmation of flag state changes.
Exposes IMAP STORE command as a structured tool for flag manipulation, allowing agents to track email processing state without custom database. Supports both individual and batch flag operations.
Simpler than building custom email state tracking because it leverages IMAP's native flag system; more reliable than external state stores because flag changes are atomic at the IMAP server level
email composition and sending
Medium confidenceConstructs and sends email messages via IMAP APPEND command to the Sent folder, or via SMTP if configured. Builds MIME-formatted messages with headers (From, To, CC, BCC, Subject), plain-text and HTML bodies, and attachments. Handles character encoding, attachment MIME type detection, and message ID generation.
Integrates IMAP APPEND with SMTP sending to provide end-to-end email composition, handling MIME formatting and attachment encoding transparently. Automatically saves sent emails to the Sent folder for audit trail.
More complete than IMAP-only solutions because it includes SMTP sending; more flexible than Gmail API because it works with any IMAP/SMTP provider
mailbox quota and statistics retrieval
Medium confidenceQueries IMAP server for mailbox quota information (used/total storage) and message statistics (total count, unread count, size) using GETQUOTA and STATUS commands. Returns structured quota data enabling agents to monitor storage usage and inbox health.
Abstracts IMAP GETQUOTA and STATUS commands into a unified quota interface, handling server-specific variations and normalizing output format. Enables agents to make storage-aware decisions.
More detailed than Gmail API's quota endpoint because it includes per-mailbox statistics; more efficient than downloading all messages to calculate size because it uses server-side statistics
mcp tool registration and schema definition
Medium confidenceRegisters IMAP operations as MCP tools with JSON schema definitions, enabling LLM clients to discover available email capabilities and invoke them with type-checked parameters. Implements MCP protocol for tool listing, parameter validation, and result serialization, allowing seamless integration with Claude, other LLM clients, and MCP-compatible frameworks.
Implements MCP server protocol to expose IMAP as a set of discoverable, schema-validated tools rather than a library. Enables LLM clients to understand and invoke email operations without custom integration code.
More standardized than custom tool implementations because it uses MCP protocol; more discoverable than library-based approaches because LLM clients can introspect available tools and their parameters
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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@softeria/ms-365-mcp-server
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Best For
- ✓AI assistants that need persistent email access across multiple tool calls
- ✓Teams building email-integrated agents without managing connection state manually
- ✓Agents that need to dynamically discover email organization without hardcoded folder names
- ✓Multi-account email management where folder structures vary per provider
- ✓Agents that need to filter large mailboxes (10k+ emails) without downloading all messages
- ✓Email automation workflows that rely on complex search criteria
- ✓Agents that need to read and understand email content for decision-making
- ✓Email processing pipelines that require structured email data
Known Limitations
- ⚠No built-in credential encryption — credentials must be passed via environment variables or secure config
- ⚠Single connection per MCP server instance — concurrent multi-account access requires multiple server instances
- ⚠No automatic reconnection on network failure — requires manual session restart
- ⚠Returns folder metadata only — does not fetch email counts or unread status per folder
- ⚠Folder names are server-dependent and may use non-ASCII characters requiring UTF-7 decoding
- ⚠Large folder hierarchies (100+ folders) may cause latency in enumeration
Requirements
Input / Output
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** - 📧 An IMAP Model Context Protocol (MCP) server to expose IMAP operations as tools for AI assistants.
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