DingusMail
Related Servers
Alternatives to DingusMail
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceMCP server for managing email archives as .eml files, synced with OneDrive, enabling AI assistants to read/write inbox, outbox, and drafts.161-
- AlicenseAqualityAmaintenanceMCP 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.47PolyForm Noncommercial 1.0.0
- FlicenseNot gradedqualityCmaintenanceMCP server for any IMAP mailbox that lets AI models read, search, send, and manage email, including processing attachments as images.1-
- AlicenseNot gradedqualityFmaintenanceAn MCP server that receives emails on your domain and allows AI assistants to search, read, and manage them via natural language queries.878MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that gives an AI assistant access to IMAP/SMTP mailboxes to read, search, organize, draft, and send email, with local mirroring and full-text search, no third-party data path, and credentials stored only in the macOS Keychain.57MIT
- AlicenseAqualityDmaintenanceProvider-agnostic email MCP server that connects any IMAP mailbox to AI assistants, enabling email management through natural language.8AGPL 3.0
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: parse_eml provides a preview of email content and metadata, while extract_eml_attachments focuses solely on extracting attachment files. There is no overlap; the tool descriptions explicitly cross-reference each other to avoid confusion.
Both tool names follow a consistent verb_noun pattern with snake_case: parse_eml and extract_eml_attachments. The verbs 'parse' and 'extract' accurately describe the operations, and the nouns clearly identify the target resources.
With only two tools, the server feels thin even for a narrow domain like .eml handling. While each tool is valuable, the count is borderline and might warrant additional tools for a more complete workflow.
The two tools cover the primary read-oriented operations for .eml files: inspecting content and extracting attachments. Minor gaps exist, such as no ability to modify or create .eml files, but for the apparent purpose of parsing and extraction, the surface is reasonably complete.