gmail-mcp
Skill1 starsChanged 5 months agoMITView on GitHub
Triage and curate a Gmail inbox by connecting to the GmailMCP server over MCP and calling its typed tools.
In this repository28 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/agent.mdcCursor rule
- .cursor/rules/coding_style.mdcCursor rule
- .cursor/rules/commit_msg.mdcCursor rule
- .cursor/rules/common.mdcCursor rule
- .cursor/rules/deprecated.mdcCursor rule
- .cursor/rules/github_actions.mdcCursor rule
- .cursor/rules/langfuse.mdcCursor rule
- .cursor/rules/llm.mdcCursor rule
- .cursor/rules/long_run_code.mdcCursor rule
- .cursor/rules/makefile-commands.mdCursor rule
- .cursor/rules/package-management.mdCursor rule
- .cursor/rules/tests.mdcCursor rule
- .cursor/rules/typing.mdcCursor rule
- .cursor/rules/uv.mdcCursor rule
- frontend-design-principlesSkill
- goose-gui-e2eSkill
- local-sandboxSkill
- manage-agent-configSkill
- new-agent-ruleSkill
- onboardingSkill
- push-releaseSkill
- cleanupSkill
- code-qualitySkill
- prek-precommit-hookSkill
- thermo-nuclear-code-quality-reviewSkill
- usageSkill
- waitSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Add the MCP server to your client, then discover its tools.
- Very specific: line 23
Call a tool with tools/call and typed JSON arguments.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
GmailMCP
GmailMCP is a Model Context Protocol (MCP) server. Use it to rank, triage, and draft replies for a Gmail inbox. The same tools are also reachable over a CLI and a plain HTTP API; behaviour is identical across all three transports.
Connect
Add the MCP server to your client, then discover its tools.
- Endpoint (streamable HTTP):
https://mcp.gmailmcp.com/mcp - Server name:
gmail-mcp - Discovery metadata:
https://gmailmcp.com/.well-known/mcp.json
Use
- List the available tools with the MCP
tools/listmethod. Call a tool with
tools/calland typed JSON arguments. For example, to triage the inbox:{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "gmail_curate_inbox", "arguments": { "limit": 3 } } }- The server returns structured output (e.g. threads ranked by an importance score, with a flag for whether a draft reply was prepared).
Learn more
- Full description for LLMs:
https://gmailmcp.com/llms-full.txt - Human documentation:
https://gmailmcp.com/docs - Source code:
https://github.com/Miyamura80/MCP-Template
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

