Email (.eml) File Parser

Email (.eml) File Parser MCP Connector for Claude

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Transform heavy raw email exports into crystal-clear text local. Let your AI act as your personal secretary, instantly summarizing threads without wasting context window tokens.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Dragging a raw .eml file directly into Claude's chat window is a nightmare. These files are filled with complex base64-encoded attachments, unreadable MIME boundaries, and dense HTML layouts. As a result, the AI hallucinates, crashes, or consumes thousands of context tokens just trying to read the first sentence.

This MCP acts as your high-speed email distillation engine. Operating 100% locally, it strips away the HTML noise, removes heavy binary attachments, and extracts only the pure text, sender, recipient, and subject metadata. The result? A pristine JSON object that your AI can instantly read and summarize.

The Superpowers

  • 100% Air-Gapped Privacy: Your confidential business emails never leave your local machine.
  • Token Efficiency: Converts a 5MB bloated email file into a 2KB clean text payload.
  • Zero Hallucination: The AI knows exactly who sent the email, when, and what was said.
  • Executive Assistant Mode: Ask the AI to draft replies, extract action items, or summarize 50-email long threads instantly.
email-parsingmime-decodingdata-extractiontext-summarizationcontext-optimizationraw-data-processing

1 tools expose this connector's capabilities to your AI agent.

parse_eml_file

eml). Do not attempt to read the file manually as it contains unreadable raw MIME and base64. Provide the absolute file path. Parse a local .eml email file into clean text, stripping away HTML, headers, and encoding. Returns a clean JSON with sender, recipient, date, subject, and text body

See how to talk to your AI agent using Email (.eml) File Parser.

Parse this client_thread.eml and give me a bullet-point list of the 3 most urgent action items.

Here are the urgent items: 1. Send the Q3 invoice by Friday. 2. Review the attached proposal. 3. Schedule a follow-up call with Sarah.

Read meeting_notes.eml and draft a polite, professional reply accepting the new deadline.

Dear Team, Thank you for the update. I confirm we can meet the new deadline of October 15th. We will adjust our schedule accordingly. Best regards.

Analyze this long email chain and list everyone who was CC'd along with their email addresses.

The following people were CC'd on the thread: - John Doe (john@example.com) - Tech Support (support@acme.inc)

Absolutely not. The `.eml` parsing happens 100% locally on your computer. Only the cleaned text is passed to the AI for analysis, ensuring maximum privacy for business operations.

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