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Vinkius

mailparser Connector for AI agents.

1 live capability

Extract clean text from bloated email files for faster summaries.

Live agent request mailparser / Connector

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AI Agent

Why people use mailparser

Email (.eml) File Parser for Legal Discovery and Archival Work

This Connector changes that by acting as a filter. You just point your agent to the file path, and it pulls out the sender, the date, and the actual words. You get a clean summary without the technical noise.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You turn unreadable email files into clean, AI-ready text instantly.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Legal Discovery

    A lawyer needs to summarize a 50-email thread about a specific contract.

  2. Real-world use case 02

    Customer Support Analysis

    A manager wants to know why a specific client is angry.

  3. Real-world use case 03

    HR Policy Summaries

    An HR rep has an email chain about a new policy.

Complete set · 1capability

The complete mailparser capability set.

These are the exact actions your AI can choose when you ask it to work with mailparser.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through mailparser.

  1. 01 Capability

    Parse eml file

    Converts a local .eml file into a clean JSON object containing the sender, recipient, date, subject, and body. It strips away all HTML and base64 encoding automatically to keep the data readable.

Set up in minutes

One URL. Then ask mailparser to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use mailparser from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_BLtLmGJpvaVaKQsuXJrhOff5k2YH0IHacGflgbtb/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it mailparser, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable mailparser for the conversation.

Where the request belongs

Work mailparser can move forward.

Built around the request

This is for anyone who handles high-volume email archives like legal discovery teams, HR managers, or project leads. These users need to feed email data into an AI without blowing the budget on tokens or compromising privacy.

01

Legal Paralegal

Sifting through thousands of discovery emails to find specific mentions of contracts on a Tuesday afternoon.

02

HR Specialist

Summarizing long internal threads regarding company policy updates to share with the team.

03

Customer Success Lead

Analyzing long support threads to identify recurring product bugs for the engineering team.

Bring your own AI

Change the model, client or framework. Keep mailparser connected.

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Before you connect

Questions about mailparser.

The practical details behind the request, access and result.

What exactly does the Email (.eml) File Parser do?

It takes a raw .eml file and turns it into a clean text format that your AI can actually understand. It removes all the background junk like HTML and attachments.

Is my data safe when using the Email (.eml) File Parser?

Yes. Everything happens locally on your machine. Your emails never get sent to a third-party service for parsing.

Can I use this for large email archives?

That's exactly what it's for. It shrinks huge, bloated files into tiny text payloads, saving you money on tokens and making it easier for your AI to read.

Does this work with Gmail or Outlook?

This specific MCP is for parsing local .eml files. It doesn't connect to your live inbox, but it's great for processing exported files from those services.

Will it handle attachments in my emails?

It actually removes heavy binary attachments. This is a feature, not a bug, because it keeps the file small and readable for your AI client.

How do I get the AI to use this capability?

Once you connect the Connector to your client, you just tell your agent to parse a specific file path. It will handle the extraction for you.

Are my confidential emails sent to the cloud?

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.

Does this capability extract attachments?

No, it intentionally strips out all attachments (like PDFs and images) to save token space. It focuses purely on extracting the conversational text and metadata (Sender, CC, Date).

Can it read Outlook and Gmail exports?

Yes. The .eml format is the universal standard for email exports. It works perfectly with files generated by Outlook, Apple Mail, Gmail, and Thunderbird.

One connection away

Give your agent a direct line to mailparser.

Connect mailparser once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available