BigCactusLabs/dead-letter
by Various
Convert .eml email exports to Markdown with YAML front matter
MCP
BigCactusLabs/dead-letter
Added 13 July 2026
Overview
Dead Letter is a Python tool that converts .eml email files into Markdown documents with YAML front matter. It extracts metadata like subject, sender, and date and formats the email body as Markdown. The output is a clean plain-text representation suitable for further processing or archival.
Best for
Best for
Developers who need to batch convert .eml files to plain-text Markdown for archival or indexing
Use cases
- Archive email exports as readable Markdown files
- Migrate email content into static site generators or knowledge bases
- Extract and transform email data for documentation or search indexing
How to use
Install
pip install dead-letter[mcp] Tools exposed
dead-letter-mcp
Tested with
Claude Desktop, Claude Code, Codex
Example client config
{\n "mcpServers": {\n "dead-letter": {\n "command": "uv",\n "args": ["--directory", "/path/to/dead-letter", "run", "--extra", "mcp", "dead-letter-mcp"]\n }\n }\n} Notes
Dead Letter is a Python tool that converts .eml email files into Markdown documents with YAML front matter. It extracts metadata like subject, sender, and date and formats the email body as Markdown. The output is a clean plain-text representation suitable for further processing or archival.
4 stars on GitHub. Last updated 2026-07-13.
Use cases
- Archive email exports as readable Markdown files
- Migrate email content into static site generators or knowledge bases
- Extract and transform email data for documentation or search indexing
Pros
- Simple focused tool with a single clear purpose
- Lightweight open source implementation in Python
- Produces structured output with YAML metadata
Cons
- Only supports the .eml format, not other email exports
- Does not handle attachments or render HTML email bodies
- Limited adoption with only 4 stars on GitHub
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple focused tool with a single clear purpose
- Lightweight open source implementation in Python
- Produces structured output with YAML metadata
Cons
- Only supports the .eml format, not other email exports
- Does not handle attachments or render HTML email bodies
- Limited adoption with only 4 stars on GitHub
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.