# MailBridge MCP

> MailBridge MCP — gexiro-global-mailbridge-mcp. Use this tool when you need to integrate AI assistants with email systems, enabling secure and read-only access to multiple mailboxes for tasks like email thread reconstruction and attachment inspection. It solves problems related to email data analysis and automation, providing a reliable interface for AI agents to input search queries and output relevant email data. Ideal for use cases requiring non-intrusive email analysis, such as customer service automation or email-based data extraction.

Canonical page: https://skillsregistry.net/skills/gexiro-global-mailbridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gexiro-global-mailbridge-mcp

## Description

Enables MCP-compatible AI assistants to securely search multiple mailboxes, reconstruct email threads, and inspect attachments through read-only tools without altering mailbox state.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bhj985c09f)
- **Repository:** <https://github.com/gexiro-global/mailbridge-mcp>

## 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": "gexiro-global-mailbridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gexiro-global-mailbridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gexiro-global-mailbridge-mcp/pull`

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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
