# dead-letter (oci · ghcr.io/bigcactuslabs/dead-letter@sha256:b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b1894c8edf51f71cda2b95ac22)

Convert .eml email exports to clean Markdown for RAG, LLM pipelines, and local knowledge bases

- Trust score: 30/100 (low)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- mcpb · `dead-letter-mcp-0.4.0.mcpb`: 11/100, [markdown](https://verifymcp.io/servers/bigcactuslabs-dead-letter/https-github-com-bigcactuslabs-dead-letter-releases-download-v0-4-0-dead-letter.md), [page](https://verifymcp.io/servers/bigcactuslabs-dead-letter/https-github-com-bigcactuslabs-dead-letter-releases-download-v0-4-0-dead-letter)
- oci · `ghcr.io/bigcactuslabs/dead-letter@sha256:b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b1894c8edf51f71cda2b95ac22`: 30/100 (this document), [markdown](https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b.md), [page](https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b)
- pypi · `dead-letter`: 36/100, [markdown](https://verifymcp.io/servers/bigcactuslabs-dead-letter/dead-letter.md), [page](https://verifymcp.io/servers/bigcactuslabs-dead-letter/dead-letter)

## Channel facts

- Registry: `oci`
- Package: `ghcr.io/bigcactuslabs/dead-letter@sha256:b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b1894c8edf51f71cda2b95ac22`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Supply Chain Security**: 0/100
  - Malware scan not yet available for this package.
  - Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.
- **Provenance & Transparency**: 35/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: the license (PolyForm-Noncommercial-1.0.0) isn't a recognized OSI-approved license.
  - Actively maintained (last published 0 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 40/100
  - AI-judged instruction clarity (fair).
  - Context-footprint check failed: tool/resource definitions use about 832 tokens (~208/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

**Unverified: 2 categories.** Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-20 (score 30)

First indexed and scored.

## MCP tools (4)

### `convert_eml` (~218 tokens)

Convert a .eml email file to Markdown with YAML front matter.

    Returns the full Markdown content (front matter + body). When output_path
    is provided, also writes the file to disk.

    Presets bundle common flag combinations:
    - default: strips signatures, tracking pixels, signature images
    - clean: default + strips disclaimers and quoted headers
    - verbose: includes all headers and raw HTML
    - raw: no stripping, preserves everything

    Individual flags override the preset when provided.

Input parameters:

- `embed_inline_images`
- `eml_path` (string, required)
- `include_all_headers`
- `include_raw_html`
- `no_calendar_summary`
- `output_path`
- `preset` (string)
- `strip_disclaimers`
- `strip_quoted_headers`
- `strip_signature_images`
- `strip_signatures`
- `strip_tracking_pixels`
- `thread_mode` (string)
- `thread_order` (string)

Output parameters:

- `result` (string)

### `convert_eml_to_bundle` (~236 tokens)

Convert a .eml file to a self-contained bundle with markdown and attachments.

    Creates a directory containing the converted markdown, extracted attachments,
    and optionally the original .eml source.

    source_handling only accepts 'copy' over MCP: the original .eml is copied
    into the bundle and left untouched. The 'move' and 'delete' modes are
    rejected here — use the CLI or the Python API for those.

    Returns JSON with bundle_path, markdown_path, attachment_paths, and
    optional diagnostics.

Input parameters:

- `bundle_root` (string, required)
- `embed_inline_images`
- `eml_path` (string, required)
- `include_all_headers`
- `include_raw_html`
- `no_calendar_summary`
- `preset` (string)
- `source_handling` (string)
- `strip_disclaimers`
- `strip_quoted_headers`
- `strip_signature_images`
- `strip_signatures`
- `strip_tracking_pixels`
- `thread_mode` (string)
- `thread_order` (string)

Output parameters:

- `result` (string)

### `convert_directory` (~175 tokens)

Batch convert all .eml files in a directory to Markdown.

    Recursively finds all .eml files and converts them. Returns a JSON
    summary with total, successes, failures, output_paths, and errors.

    Use convert_eml to retrieve individual converted file content.

Input parameters:

- `directory` (string, required)
- `dry_run` (boolean)
- `embed_inline_images`
- `include_all_headers`
- `include_raw_html`
- `no_calendar_summary`
- `output_directory`
- `preset` (string)
- `strip_disclaimers`
- `strip_quoted_headers`
- `strip_signature_images`
- `strip_signatures`
- `strip_tracking_pixels`
- `thread_mode` (string)
- `thread_order` (string)

Output parameters:

- `result` (string)

### `get_diagnostics` (~203 tokens)

Inspect email quality and structure without writing permanent files.

    Use this to assess conversion quality before committing, or to
    troubleshoot problematic .eml files.

    Always returns JSON with: state (normal/degraded/review_recommended),
    selected_body, segmentation_path, client_hint, confidence,
    fallback_used, and warnings. Two keys are conditional: stripped_images
    appears only when images were removed, and attachments only when the
    message had attachments eligible for retention.

Input parameters:

- `embed_inline_images`
- `eml_path` (string, required)
- `include_all_headers`
- `include_raw_html`
- `no_calendar_summary`
- `preset` (string)
- `strip_disclaimers`
- `strip_quoted_headers`
- `strip_signature_images`
- `strip_signatures`
- `strip_tracking_pixels`
- `thread_mode` (string)
- `thread_order` (string)

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b#diagnostics

## Score history

- 2026-09-20: 30

## Common questions

### What is the dead-letter MCP server?

dead-letter is an MCP server listed in the public MCP registry as io.github.BigCactusLabs/dead-letter. Convert .eml email exports to clean Markdown for RAG, LLM pipelines, and local knowledge bases. This page covers its container image (ghcr.io/bigcactuslabs/dead-letter@sha256:b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b1894c8edf51f71cda2b95ac22).

### Is the dead-letter MCP server safe to use?

dead-letter scores 30 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the dead-letter MCP server expose?

dead-letter exposes 4 tools: convert_eml, convert_eml_to_bundle, convert_directory, get_diagnostics. Their descriptions and schemas cost roughly 832 tokens of context every time the server is loaded.

### Is the dead-letter MCP server still maintained?

dead-letter is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the dead-letter MCP server under?

dead-letter declares the PolyForm-Noncommercial-1.0.0 licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.

## Links

- Repository: https://github.com/BigCactusLabs/dead-letter
- Changelog RSS feed: https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b.xml
- Changelog JSON feed: https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b.json
- HTML version of this page: https://verifymcp.io/servers/bigcactuslabs-dead-letter/ghcr-io-bigcactuslabs-dead-letter-sha256-b0dc1c4d76370bf2315a9d5fe46d1bdfe3f932b