# proton-bridge-mcp

> proton-bridge-mcp — alpharomercoma-proton-bridge-mcp-py. Use this tool when you need to securely access and manage Proton Mail accounts via the Proton Mail Bridge, providing functionalities to list mailboxes, search messages, and retrieve message details with enhanced security through TLS certificate pinning. It solves problems related to secure email management and integration, offering a reliable interface for inputs such as mailbox and message queries, and outputs including message lists and details. Ideal for use cases requiring secure and private email access and management.

Canonical page: https://skillsregistry.net/skills/alpharomercoma-proton-bridge-mcp-py  
JSON: https://api.skillsregistry.net/v1/skills/alpharomercoma-proton-bridge-mcp-py

## Description

MCP server for reading and searching Proton Mail via Proton Mail Bridge, providing tools to list mailboxes, list/search messages, and get message details with TLS certificate pinning.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pc0j0hdqbx)
- **Repository:** <https://github.com/alpharomercoma/proton-bridge-mcp-py>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpharomercoma-proton-bridge-mcp-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpharomercoma-proton-bridge-mcp-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpharomercoma-proton-bridge-mcp-py/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt