Poke Google Docs MCP

Poke Google Docs MCP

A remote MCP server that lets your Poke agent create and edit Google Docs.

Category
访问服务器

README

Poke ↔ Google Docs MCP

A remote MCP server that lets your Poke agent create and edit Google Docs. Built with Python + FastMCP, deployable to Render in a few minutes, and structured so you can extend it to Sheets, Drive, and other Google APIs.

License: MIT Deploy to Render

Auth model: single-tenant per deployment. You (or anyone who forks this) bring your own Google OAuth client and mint your own refresh token. There's no shared multi-user server to run — clone it, plug in your credentials, deploy.

Tools

Tool What it does
create_document(title, content="") Create a new Doc, optionally with starting text. Returns its ID + edit URL.
read_document(document_id) Return the document's title and plain-text body.
append_text(document_id, text) Add text to the end of a Doc.
insert_text(document_id, text, index=1) Insert text at a character index (1 = start).
replace_text(document_id, find, replace, match_case=False) Find & replace all occurrences.

A document ID is the long string in a Doc's URL: https://docs.google.com/document/d/THIS_PART/edit.


Setup

1. Google Cloud: create OAuth credentials

  1. Go to the Google Cloud Console and create (or pick) a project.
  2. APIs & Services → Library → enable the Google Docs API. (Enable Google Sheets API / Google Drive API here too if you extend later.)
  3. APIs & Services → OAuth consent screen:
    • User type: External.
    • Fill in app name + your email.
    • Under Test users, add your own Google address. (In "Testing" mode the refresh token works indefinitely for test users.)
  4. APIs & Services → Credentials → Create Credentials → OAuth client ID:
    • Application type: Desktop app.
    • Download the JSON, rename it to client_secret.json, and put it in this project's root folder.

2. Mint your refresh token (one time, local)

pip install -r requirements.txt
python setup_auth.py

A browser opens — sign in and approve. The script prints:

GOOGLE_CLIENT_ID=...
GOOGLE_CLIENT_SECRET=...
GOOGLE_REFRESH_TOKEN=...

Keep these secret.

3. Generate an API key for Poke

This protects your public server URL so only Poke can use it:

python -c "import secrets; print(secrets.token_urlsafe(32))"

Save the output as MCP_API_KEY.

4. Deploy to Render

Fork this repo first (so the env vars are yours), then click the button on your fork's README — or do it manually:

Deploy to Render

  1. Push this repo to your own GitHub.
  2. In Render: New → Blueprint (it auto-detects render.yaml) or New → Web Service, and connect your repo.
  3. Add these environment variables (Environment tab):
    • GOOGLE_CLIENT_ID
    • GOOGLE_CLIENT_SECRET
    • GOOGLE_REFRESH_TOKEN
    • MCP_API_KEY
  4. Deploy. Your server is at https://<your-service>.onrender.com/mcp.

Render's free tier sleeps when idle, so the first request after a pause has a cold-start delay of ~30s. Upgrade the plan if that bothers you.

5. Connect it to Poke

In Poke → Settings → Integrations → Connect MCP (or poke.com/settings/connections):

  • URL: https://<your-service>.onrender.com/mcp — ⚠️ the /mcp suffix is required. The bare domain (https://<your-service>.onrender.com) has nothing listening on it and Poke will reject it with "Invalid MCP server URL."
  • API Key: the MCP_API_KEY from step 3.

Then ask Poke something like: "Create a Google Doc called 'Weekly Plan' and add a heading and three bullet points."


Troubleshooting

Poke says "Invalid MCP server URL. Please check your URL and try again." You almost certainly left off the /mcp path. Use https://<your-service>.onrender.com/mcp, not the bare domain.

Verify the server yourself (replace the URL and key). A GET returns 405 Method Not Allowed — that's correct, MCP only accepts POST:

# Should print: HTTP 405, allow: POST, DELETE
curl -i https://<your-service>.onrender.com/mcp

# Full handshake — should return HTTP 200 and serverInfo "Google Docs MCP":
curl -i -X POST https://<your-service>.onrender.com/mcp \
  -H "Authorization: Bearer <MCP_API_KEY>" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'
  • 404 on the root (/) is normal — only /mcp is mounted.
  • 401/auth errors → the Authorization: Bearer key doesn't match the MCP_API_KEY set in Render's Environment tab.
  • First request after the server's been idle takes ~30s (free-tier cold start); retry if Poke times out.
  • If the handshake fails entirely, check the Render dashboard: the latest deploy should be Live and all 4 env vars must be set.

Run locally

cp .env.example .env        # fill in the values from setup_auth.py
# load .env into your shell, then:
python src/server.py        # serves http://localhost:8000/mcp

To expose a local server to Poke for testing, tunnel it with e.g. ngrok http 8000 and give Poke the https://…/mcp URL.


Extending to Sheets, Drive, etc.

The codebase is built for this:

  1. Add the scope in src/config.py (e.g. uncomment the Sheets scope) and re-run python setup_auth.py to get a token with the new permission.
  2. Enable the API in Google Cloud (e.g. Google Sheets API).
  3. Add a client helper in src/google_client.py:
    def sheets_service():
        return get_service("sheets", "v4")
    
  4. Copy src/tools/docs.pysrc/tools/sheets.py, write a register_sheets_tools(mcp) with your new @mcp.tool() functions.
  5. Register it in src/server.py:
    from tools.sheets import register_sheets_tools
    register_sheets_tools(mcp)
    

Every tool just needs the @require_auth decorator (under @mcp.tool()) to stay protected by your API key.


How it works / security notes

  • Transport: streamable HTTP at /mcp, stateless — the format Poke expects.
  • MCP auth: every tool checks Authorization: Bearer <MCP_API_KEY> via the @require_auth decorator. If MCP_API_KEY is unset, auth is disabled — only do that locally.
  • Google auth: a long-lived refresh token (yours) is exchanged for short-lived access tokens automatically by google-auth.
  • Secrets live in env vars only. .gitignore excludes .env, client_secret.json, and token.json so they never reach git.

Project layout

setup_auth.py          # one-time: mint your refresh token
render.yaml            # Render deploy config
requirements.txt
.env.example
src/
  server.py            # FastMCP app + HTTP transport; registers tool modules
  config.py            # OAuth scopes (single source of truth)
  auth.py              # Bearer-token check for the MCP server (@require_auth)
  google_client.py     # builds cached, auto-refreshing Google API clients
  tools/
    docs.py            # Google Docs tools  (template for new services)

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选