# DAVS Gmail MCP Server

> DAVS Gmail MCP Server — davsdevelop-davs-gmail-mcp-server. Use this tool when you need to integrate a large language model (LLM) with a Gmail account to automate email management tasks, such as listing and sending emails, accessing profiles, and injecting context from PDF resources. It solves problems related to email automation, data extraction, and contextual understanding, with inputs including OAuth2 credentials and PDF files, and outputs including email lists and sent emails. Ideal for use cases requiring automated email processing and analysis, with a user-friendly Streamlit interface.

Canonical page: https://skillsregistry.net/skills/davsdevelop-davs-gmail-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/davsdevelop-davs-gmail-mcp-server

## Description

Enables an LLM to interact with a Gmail account via MCP, supporting email listing, sending, profile access, and PDF resource injection for context, with OAuth2 authentication and a Streamlit interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s36jdz440a)
- **Repository:** <https://github.com/davsdevelop/DAVS-gmail-mcp-server>

## 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": "davsdevelop-davs-gmail-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davsdevelop-davs-gmail-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davsdevelop-davs-gmail-mcp-server/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