AuroraDocs MCP Server
Enables local MCP clients to interact with an AuroraCloud workspace, supporting object listing, content reading, search, and task management through authenticated API calls.
README
AuroraDocs MCP Server
@henrikogard/auroradocs-mcp connects a local MCP client to one AuroraCloud
workspace. It runs on your computer over stdio and sends authenticated requests
to https://api.auroradocs.eu.
The public package is @henrikogard/auroradocs-mcp, the executable is
aurora-mcp, and this documentation targets version 0.1.1.
For an end-to-end installation walkthrough, use the dedicated Setup guide.
Requirements
- Node.js 20 or newer
- an AuroraDocs account with an AuroraCloud-backed workspace
- permission to create an MCP token for that workspace
- a supported local MCP client: Claude Desktop, Claude Code, Codex, or another client that can start a stdio server
Browser-only workspaces and Local folders workspaces are not supported. The server does not read a browser tab or a folder on your computer.
Create an MCP key
- Sign in to AuroraDocs and open the AuroraCloud workspace you want to use.
- Go to Settings → Workspace → MCP Access.
- Enter a label that identifies the client, such as
Personal laptop — Codex. - Select the minimum scopes the client needs. Start with
read:objects; addread:contentonly when the client must read document bodies. - Choose a bounded expiry: 30, 60, 90, 180, or 365 days. The default is 90 days. Prefer a bounded expiry even if your role offers a no-expiry option.
- Select Create token.
- Copy the raw
aur_mcp_token immediately. It is shown only once and cannot be recovered later. Store it in the local client configuration or a trusted secret manager; never paste it into an issue, pull request, chat, or screenshot. - Copy the workspace ID from the configuration snippet on the same MCP Access
page. You will use it as
AURORA_WORKSPACE_ID.
Only workspace owners and admins can create tokens. A token is a workspace-scoped service credential, not an account-wide API key.
Choose least-privilege scopes
Scopes are independent: read:objects does not include read:content, and a
write scope does not imply its read counterpart.
| Goal | Start with these scopes |
|---|---|
| Confirm the connection and list titles | read:objects |
| Read page or Canvas content | read:objects, read:content |
| Search and read workspace knowledge | read:objects, read:content, search |
| Review or update tasks and week planning | read:objects, tasks |
| Update task metadata after confirmation | read:objects, tasks, write:objects |
| Create or rename non-task objects | read:objects, write:objects |
| Replace or append document content | read:objects, read:content, write:content |
read:objects is the practical baseline because the server verifies workspace
membership at startup and most tools operate on object metadata. Add
write:objects or write:content only when you intend to let the client modify
the workspace. See the complete scope and tool reference.
The tasks scope permits both reading and writing task metadata. Do not grant
it to a client that should have strictly read-only access.
search_objects and its search alias search object titles with read:objects only.
wiki_search searches workspace knowledge and requires read:objects plus search.
Add read:content when the workflow will open and read the matching pages, as
in the knowledge-search recipe above.
Configure a client
All examples below use the production AuroraCloud API and pin package version
0.1.1. Replace WORKSPACE_ID and REDACTED locally. Do not commit the
resulting configuration. The examples store the token in the client's saved
configuration, so protect that file as a credential.
The server requires exactly these environment variables:
| Variable | Value |
|---|---|
AURORA_API_URL |
https://api.auroradocs.eu |
AURORA_WORKSPACE_ID |
the workspace ID shown on the MCP Access page |
AURORA_API_TOKEN |
the one-time aur_mcp_ token |
Do not configure an AuroraDocs email or password. Public onboarding supports MCP-token authentication only.
Claude Desktop
Open Claude Desktop's developer settings and edit its MCP configuration. Add
this server under mcpServers, preserving any servers already present:
{
"mcpServers": {
"auroradocs": {
"command": "npx",
"args": ["-y", "@henrikogard/auroradocs-mcp@0.1.1"],
"env": {
"AURORA_API_URL": "https://api.auroradocs.eu",
"AURORA_WORKSPACE_ID": "WORKSPACE_ID",
"AURORA_API_TOKEN": "REDACTED"
}
}
}
}
Save the file and restart Claude Desktop. Anthropic's current local MCP server guide describes how to reach the configuration screen.
Claude Code
Current Claude Code accepts local stdio servers through claude mcp add.
Options must appear before the server name:
claude mcp add --transport stdio --scope user \
--env AURORA_API_URL=https://api.auroradocs.eu \
--env AURORA_WORKSPACE_ID=WORKSPACE_ID \
--env AURORA_API_TOKEN=REDACTED \
auroradocs -- npx -y @henrikogard/auroradocs-mcp@0.1.1
Run claude mcp get auroradocs to inspect the saved entry, then use /mcp in
Claude Code to check its connection. See Anthropic's current
Claude Code MCP documentation.
Codex
The installed Codex CLI accepts --env for local stdio servers:
codex mcp add \
--env AURORA_API_URL=https://api.auroradocs.eu \
--env AURORA_WORKSPACE_ID=WORKSPACE_ID \
--env AURORA_API_TOKEN=REDACTED \
auroradocs -- npx -y @henrikogard/auroradocs-mcp@0.1.1
Run codex mcp get auroradocs to inspect the saved entry.
Other stdio clients
Use this valid generic JSON shape when a client accepts an MCP server object:
{
"command": "npx",
"args": ["-y", "@henrikogard/auroradocs-mcp@0.1.1"],
"env": {
"AURORA_API_URL": "https://api.auroradocs.eu",
"AURORA_WORKSPACE_ID": "WORKSPACE_ID",
"AURORA_API_TOKEN": "REDACTED"
}
}
The client must launch the process locally and communicate over stdio. Do not
configure https://api.auroradocs.eu as an MCP HTTP/SSE URL; it is the API the
local server calls, not a hosted MCP endpoint.
Verify read-only access first
- Mint a token with only
read:objects. - Start or restart the client.
- Ask the client to call
list_objectswith a small limit and return only object titles and IDs. - Confirm that the result belongs to the intended workspace.
- Only then mint a replacement token with any additional scopes your workflow genuinely needs. Update the client, verify it, and revoke the first token.
If the connection fails, see Troubleshooting. Never paste the raw token into logs or bug reports.
Manage and revoke access
Return to Settings → Workspace → MCP Access to manage credentials.
- Review each token's fingerprint, scopes, expiry, last-used time, status, and activity.
- Open a token's activity view to review allowed requests and denials.
- Revoke one token when a client is retired, a device is lost, or a replacement token is working.
- Only workspace owners can use Revoke all active tokens in the UI.
- Admins should revoke each affected token individually and contact a workspace owner for emergency bulk revocation.
- After emergency revocation, create fresh least-privilege tokens only for trusted clients.
Revocation is immediate. To renew access, create a new token before the old one expires, update the local client, verify a read-only request, and then revoke the old token. Tokens cannot be extended or recovered.
Security model
- The MCP protocol process is local and stdio-only; AuroraDocs does not provide a hosted MCP HTTP, SSE, or OAuth endpoint.
- AuroraCloud checks workspace membership, token scopes, the member's current role, expiry, revocation, rate limits, and audit events on requests.
- E2EE content that is locked or unavailable is reported that way. The server does not return encrypted ciphertext as readable content.
- The package sends no product telemetry. Network requests are the AuroraCloud API calls required by the selected tools.
Read Security boundaries before granting write scopes. To report a vulnerability, follow SECURITY.md.
Reference
- Tools and scopes
- Agent planning and knowledge roadmap
- Security boundaries
- Troubleshooting
- Contributing
- Code of Conduct
Development
pnpm install --frozen-lockfile
pnpm test
pnpm check
The live AuroraCloud smoke test is intentionally separate because it requires a
real workspace and a least-privilege aur_mcp_ token. Give the smoke token only
read:objects, read:content, and search; explicitly omit tasks because
that scope authorizes both task reads and task writes. The smoke authenticates,
checks membership, lists tools, members, and objects, and reads the recent
knowledge catalog. Every dispatched tool must carry the catalog's authoritative
read-only classification, and the smoke never creates, updates, or deletes
workspace data. See CONTRIBUTING.md before using it.
License
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。