
DataToRAG
com.datatorag由 datatorag.com 发布官方发布者v1.0.0更新于 Oct 29, 2026
Hosted MCP for Google Workspace, Atlassian and Notion: one OAuth, per-user accounts, write access.
概览
托管式 MCP 网关,通过一次 OAuth 登录让助手访问用户自己的 Google Workspace、Atlassian 和 Notion 账户。
- 可以做什么
- 读写 Gmail、日历、Drive、文档、表格、幻灯片、联系人和任务
- 处理 Jira 工单与 Confluence 内容
- 创建和编辑 Notion 页面、数据库与评论
- 列出已连接账户、运行现成技能,并生成一次性文件上传和下载链接
- 按引用在服务之间搬运文件,并返回大小与 SHA-256
- 适用场景
- 适合需要让助手在一个连接下同时操作 Google Workspace、Jira、Confluence 和 Notion 的场景,包括同一服务多个账户,也适合希望使用托管端点而非本地进程的用户。
- 运行要求
- 远程端点 datatorag.com/mcp,使用 Streamable HTTP;客户端与仪表盘需用同一邮箱完成 OAuth 登录。每位用户须在仪表盘中连接自己的 Google、Atlassian 或 Notion 账户并授予所需权限。自托管需要 Node.js 20 或更高版本、pnpm 9、通过 DATABASE_URL 提供的 Postgres、CONNECTION_TOKEN_KEYS,以及各服务商的 OAuth 客户端凭据。
安装
在 SourceWeft 中
- 打开 控制台中的 DataToRAG,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.datatorag%2Fmcp-gateway/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"datatorag": {
"type": "http",
"url": "https://datatorag.com/mcp"
}
}
}README
Google Workspace, Jira, Confluence and Notion for Claude and other MCP clients, through one endpoint.
[License: MIT] [CI status on main] [Last commit on main] [143 tools as of October 2026] [Works with Claude, Cursor and ChatGPT]
DataToRAG is an open-source Model Context Protocol gateway. You point your AI client at one URL. Each person connects their own Google, Atlassian and Notion accounts, and the gateway hands the client the tools for those accounts, calling the services with the person's own OAuth grant. It runs hosted at datatorag.com, or on your own infrastructure under the MIT license.
Website · Docs · Status · Changelog · Skills
Try it in 60 seconds
Setup is two connections, and both are needed:
- Connect your accounts. Sign in at datatorag.com/dashboard and connect Google, Atlassian or Notion. Google's consent screen arrives with every box unticked: tick "Select all", or the services you want.
- Connect your AI client to
https://datatorag.com/mcp, then sign in with the same email when the client asks.
Claude (web and Desktop). Customize, then Connectors, then Add, then "Add custom connector". Paste the URL and leave the advanced OAuth fields empty.
Claude Code.
Cursor and other clients that take a JSON config.
ChatGPT. Settings, then Connectors, enable Developer mode, then Create, and paste the URL.
The getting started guide has screenshots of each step. Every client connects with OAuth.
The server is listed in the official MCP registry as com.datatorag/mcp-gateway; server.json is the listing.
Screenshots
The agent in the dashboard runs the same tools against your connected accounts, with no client setup.
An upload link takes one file from your computer, up to 25 MB, and answers its size and SHA-256.
The status page shows the latest end-to-end run against production, by service.
Connectors
Tool counts are from the code as of October 2026: 133 tools in the three connectors, and 10 built into the gateway.
The three connectors live in this repository under plugins/ and ship inside the gateway's image. A client only sees the tools for services its user has connected.
What makes it different
Several accounts per service. Connect a work and a personal Google account, or two Notion workspaces, under one login, and pick a default. Every connector tool takes an account argument to choose one (how we built it).
Responses sized for a context window. Tools return what the model needs rather than the raw API response. A two-page Google Doc comes back as 2 to 3 KB of text instead of 50 KB or more of JSON (the write-up).
OAuth per user. Each person grants access to their own accounts, and the gateway refreshes the grants. A connector receives only the calling user's access token, never a shared credential.
Files move between services without passing through the chat. A file reference names an email, an attachment or a Drive file, and the gateway carries it to Jira, Drive or an email in one call, answering with its size and SHA-256. Files from your computer arrive through a single-use upload link (file references).
Skills. Ready-made workflows, such as a morning brief or inbox triage, that run in the dashboard, on a schedule, or from any client as MCP prompts (skills, announcement).
A public status page. A test run calls the tools on production the way a user would and publishes what works, by service (status).
Architecture
In text:
- Client. Any MCP client sends Streamable HTTP to
POST /mcpwith a bearer token: an OAuth access token from the gateway's own authorization server, the only credential it accepts. - Gateway (
apps/gateway, one Node.js process: Express plus Next.js). It authenticates the bearer, opens or reuses the session, and answerstools/listfrom thetoolstable in Postgres, filtered to the services the user has connected. Atools/callis split on__into the plugin and the tool, the user's token for that service is resolved (and refreshed if expired), and the call is forwarded to the plugin. Every call is metered. The same process serves the dashboard and its agent, the docs, the changelog and the status page. - Built-ins.
list_connected_accounts,skills_*,file_upload_linkandfile_download_linkare answered by the gateway itself, with no plugin and no registry row. - Plugins. Each connector is an MCP server under
plugins/. The gateway starts each one as a child process under its own non-root account, with an environment ofPATH,NODE_ENVandPORTonly, and passes the user's token on each call in theX-User-Tokenheader. A crashing plugin is restarted up to three times a minute, and/healthreports each plugin as up or down. - Registry. Postgres holds users, connected accounts, provider tokens and the tool registry (name, description and input schema for each plugin tool). Changes to the registry in production are SQL files under
registry/, applied by theregistryworkflow after an approval.
Self-hosting
Prerequisites
- Node.js 20 or later and pnpm 9.
- A Postgres database, and its connection string as
DATABASE_URL. Any Postgres works; nothing here starts one for you. - An OAuth client for each provider you want: Google (one client for sign-in, a second for Workspace scopes), Atlassian, Notion.
Run the gateway
The gateway listens on http://localhost:8285 (set by GATEWAY_PORT):
On a laptop the gateway loads plugins from ~/.datatorag/plugins, or from DATATORAG_PLUGINS_DIR when it is set. Build them with pnpm --filter @datatorag-mcp/gws-mcp run build (and the same for atlassian-mcp and notion-mcp).
Environment variables
The full list, with comments, is in .env.example, and the schema that validates it is packages/config/src/index.ts. The ones a self-host needs:
Production
Production runs the image built from apps/gateway/Dockerfile, which carries the three plugins. A merge to main builds and publishes it (build.yml), and a deploy is dispatched by hand and approved (release.yml), starting it with docker/docker-compose.prod.yml.
Project structure
Contributing
Issues and pull requests are welcome. For a substantial change, open an issue first so we can agree on the direction; every pull request runs the gate (typecheck and tests) and a leak scan.
Security
Please report a vulnerability privately to [email protected] rather than in a public issue.
License
来源:README.md,提交 9aa3915
工具
0版本历史
1- v1.0.0最新Oct 29, 2026
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