affine-mcp-server
Documentation
AFFiNE MCP Server
A Model Context Protocol (MCP) server for AFFiNE. It exposes AFFiNE workspaces and documents to AI assistants over stdio (default) or HTTP (`/mcp`) and supports both AFFiNE Cloud and self-hosted deployments.
Table of Contents
- Overview
- Choose Your Path
- Quick Start
- Compatibility Matrix
- Tool Surface
- Documentation Map
- Verify Your Setup
- Security and Scope
- Development
- Release Notes
- License
- Support
Overview
AFFiNE MCP Server is designed for three common scenarios:
- Run a local stdio MCP server for Claude Code, Codex CLI, Cursor, or Claude Desktop
- Expose a remote HTTP MCP endpoint for hosted or browser-connected clients
- Automate AFFiNE workspace, document, database, organization, and comment workflows through a stable MCP tool surface
Highlights:
- Supports AFFiNE Cloud and self-hosted AFFiNE instances
- Supports stdio and HTTP transports
- Supports session-cookie and email/password authentication, plus compatible bearer tokens for older deployments
- Exposes 96 canonical MCP tools backed by AFFiNE GraphQL and WebSocket APIs
- Includes semantic page composition, native template instantiation, database intent composition, capability and fidelity reporting, and workspace blueprint helpers
- Includes Docker images, health probes, and end-to-end test coverage
Scope boundaries:
- This server can access only server-backed AFFiNE workspaces
- Browser-local workspaces stored only in local storage are not available through AFFiNE server APIs
- AFFiNE 0.27+ removed the legacy personal-access-token GraphQL API; this server no longer exposes token-management tools
- AFFiNE Cloud requires browser-session authentication for this external GraphQL integration; programmatic email/password sign-in is blocked by Cloudflare
> New in v3.2.1: Scripted cookie login now keeps session secrets out of process arguments, validates workspace access before saving credentials, and restores document pagination for ordinary workspace members.
Choose Your Path
| Goal | Start here |
|---|---|
| Set up a local stdio server with the least friction | docs/getting-started.md |
| Run the server in Docker or another OCI runtime | docs/getting-started.md#path-c-run-from-the-docker-image |
| Configure Claude Code, Claude Desktop, Codex CLI, or Cursor | docs/client-setup.md |
| Run the server remotely over HTTP or behind OAuth | docs/configuration-and-deployment.md |
| Lock down tool exposure for least-privilege deployments | docs/configuration-and-deployment.md#least-privilege-tool-exposure |
| Learn common AFFiNE workflows and tool sequences | docs/workflow-recipes.md |
| Browse the tool catalog by domain | docs/tool-reference.md |
Quick Start
1. Install the CLI
npm i -g affine-mcp-server
affine-mcp --versionYou can also run the package ad hoc:
npx -y -p affine-mcp-server affine-mcp -- --version2. Or run the server in Docker
docker run -d \
-p 3000:3000 \
-e MCP_TRANSPORT=http \
-e AFFINE_BASE_URL=https://your-affine-instance.com \
-e AFFINE_EMAIL=you@example.com \
-e AFFINE_PASSWORD=your-password \
-e AFFINE_MCP_AUTH_MODE=bearer \
-e AFFINE_MCP_HTTP_TOKEN=your-strong-secret \
ghcr.io/dawncr0w/affine-mcp-server:latestThen point your client at:
{
"mcpServers": {
"affine": {
"type": "http",
"url": "http://localhost:3000/mcp",
"headers": {
"Authorization": "Bearer your-strong-secret"
}
}
}
}For Docker, health checks, and remote deployment details, see docs/configuration-and-deployment.md#docker.
3. Save credentials with interactive login
affine-mcp loginThis stores credentials in `$XDG_CONFIG_HOME/affine-mcp/config` when `XDG_CONFIG_HOME` is set, otherwise in `~/.config/affine-mcp/config`, with mode `600`.
- For AFFiNE Cloud, paste the Cookie request header from a signed-in browser session
- For self-hosted AFFiNE, use email/password (recommended) or a signed-in session cookie
- `AFFINE_API_TOKEN` remains available only for deployments that still accept a compatible GraphQL bearer token
For scripted session-cookie setup, keep the cookie out of process arguments:
affine-mcp login --url https://app.affine.pro --cookie-stdin --workspace-id your-workspace-id --forcePaste the cookie at the hidden prompt, or pipe it from a trusted secret source. The CLI verifies `--workspace-id` against the authenticated account before saving it. Piped input requires `--force` when existing credentials would be replaced.
4. Register the server with your client
Claude Code project config:
{
"mcpServers": {
"affine": {
"command": "affine-mcp"
}
}
}Codex CLI:
codex mcp add affine -- affine-mcpMore client-specific setup is in docs/client-setup.md.
5. Verify the connection
affine-mcp status
affine-mcp doctorIf you want to expose the server remotely over HTTP instead of stdio, start with docs/configuration-and-deployment.md.
Compatibility Matrix
Node.js 20.18.1 is the minimum supported runtime. CI validates the Node.js 20, 22, 24, and 26 release lines.
| Target | Transport | Recommended auth | Recommended path |
|---|---|---|---|
| Claude Code | stdio | Saved config | docs/client-setup.md#claude-code |
| Claude Desktop | stdio | Saved config or session cookie | docs/client-setup.md#claude-desktop |
| Codex CLI | stdio | Saved config or self-hosted email/password | docs/client-setup.md#codex-cli |
| Cursor | stdio | Saved config or session cookie | docs/client-setup.md#cursor |
| Containerized remote deployment | HTTP | Bearer token or OAuth | docs/getting-started.md#path-c-run-from-the-docker-image |
| Remote MCP clients | HTTP | Bearer token or OAuth | docs/configuration-and-deployment.md#http-mode |
| AFFiNE Cloud | stdio or HTTP | Signed-in browser session cookie | docs/configuration-and-deployment.md#auth-strategy-matrix |
| Self-hosted AFFiNE | stdio or HTTP | Email/password or session cookie | docs/configuration-and-deployment.md#auth-strategy-matrix |
Tool Surface
`tool-manifest.json` is the source of truth for canonical tool names. The MCP server exposes those tools through `tools/list` and `tools/call`; tool definitions returned by `tools/list` include MCP annotations that mark read-only, destructive, idempotent, and external-world behavior for client-side tool selection.
Every canonical tool also declares an MCP `outputSchema` for its `structuredContent`. Object results retain their existing top-level fields, while array and scalar results use stable `{ items }`, `{ text }`, or `{ value }` envelopes. The existing text `content` remains unchanged for compatibility with clients that do not consume structured results.
Advertised input and output schemas omit the SDK-generated draft-07 `$schema` marker. Schema interpretation follows the client context, allowing clients that reject an explicit draft-07 declaration to consume the tool surface.
Domains:
- Workspace: create, inspect, update, delete, and traverse workspaces
- Organization: collections, collection-rule sync, workspace blueprints, and experimental organize or folder helpers
- Documents: search, read, create, publish, move, tag, custom properties, import/export, semantic composition, template inspection and native instantiation, capability and fidelity reporting, and block-level mutation
- Databases: create columns, add rows, update rows, inspect schema, and compose database structures from intent
- Comments: list, create, update, delete, and resolve
- History: version history listing
- Users and authentication: current user, sign-in, and profile/settings
- Notifications: list and mark notifications as read
- Blob storage: upload, delete, and cleanup blobs
Use `AFFINE_TOOL_PROFILE=read_only`, `core`, or `authoring` when a deployment should expose a smaller surface than the complete `full` default. This is the recommended path for hosted, browser-connected, or least-privilege deployments because it reduces agent choice overload while keeping the full tool catalog available as an opt-in surface. You can also combine profiles with `AFFINE_DISABLED_GROUPS` such as `docs.database`, `destructive`, or `admin` for finer control.
For the grouped catalog, notes, and operational caveats, see docs/tool-reference.md.
Documentation Map
| Document | Purpose |
|---|---|
| docs/getting-started.md | First-run setup paths and verification |
| docs/client-setup.md | Client-specific configuration snippets and tips |
| docs/configuration-and-deployment.md | Environment variables, auth modes, Docker, HTTP mode, and deployment guidance |
| docs/workflow-recipes.md | End-to-end workflows and example tool sequences |
| docs/tool-reference.md | Tool catalog grouped by domain |
| docs/edgeless-canvas-cookbook.md | Edgeless canvas layout helpers and surface elements, worked end-to-end |
| CONTRIBUTING.md | Contributor workflow |
| SECURITY.md | Security reporting |
Verify Your Setup
Useful CLI commands:
- `affine-mcp status` - test the effective configuration
- `affine-mcp status --json` - machine-readable status output
- `affine-mcp doctor` - diagnose config and connectivity issues
- `affine-mcp show-config` - print the effective config with secrets redacted
- `affine-mcp config-path` - print the config file path
- `affine-mcp snippet [--env]` - generate ready-to-paste client config
- `affine-mcp logout` - remove stored credentials
`status`, `doctor`, and the server runtime use the same `environment > saved config > defaults` resolution. For a self-hosted deployment with a non-standard GraphQL route, use `affine-mcp login --graphql-path /your/graphql/path` or set `AFFINE_GRAPHQL_PATH`; `show-config --json` prints the exact resolved `graphqlEndpoint` without exposing secrets.
For common failures, see:
- docs/getting-started.md#common-first-run-failures
- docs/configuration-and-deployment.md#deployment-checklist
Security and Scope
- Never commit passwords, session cookies, or compatible bearer tokens
- Use a dedicated least-privilege AFFiNE account for unattended deployments
- Email/password HTTP sessions share one login and never fall back to anonymous backend requests after authentication failure
- Use HTTPS for non-local deployments
- Keep remote HTTP MCP listeners authenticated; bearer mode refuses a non-loopback bind without `AFFINE_MCP_HTTP_TOKEN`
- Send MCP bearer tokens in the `Authorization` header, never in the URL
- Re-run `affine-mcp login` when a saved browser session expires
- Restrict exposed tools with `AFFINE_DISABLED_GROUPS` and `AFFINE_DISABLED_TOOLS` for least-privilege setups
- Treat OAuth mode as a shared AFFiNE service-account deployment: it defaults to `read_only`, and write-capable profiles require `AFFINE_OAUTH_ALLOW_SERVICE_WRITES=true`
- Use `/healthz` and `/readyz` when running the HTTP server behind a container platform or load balancer
- Set HTTP body, session, idle, and shutdown limits explicitly for high-volume deployments
Development
Run the main quality gates before opening a PR:
npm run ciAdditional validation:
- `npm test` verifies tool metadata, test-suite coverage, and the fast regression suite without requiring a live AFFiNE instance
- `npm run test:comprehensive` boots a local Docker AFFiNE stack and validates the tool surface
- `npm run test:e2e` runs Docker, MCP, and Playwright together
- `npm run test:playwright` runs the Playwright suite only
- Focused runners for the new high-level tool surface include `npm run test:create-placement`, `npm run test:capabilities-fidelity`, `npm run test:native-template`, `npm run test:mutation-ack`, `node tests/test-database-intent.mjs`, `node tests/test-semantic-page-composer.mjs`, `node tests/test-structured-receipts.mjs`, `node tests/test-organize-tools.mjs`, and `node tests/test-supporting-tools.mjs`
Live tests can mutate or delete AFFiNE data. They allow loopback targets by
default and refuse non-loopback targets unless the disposable target is
explicitly enabled and confirmed as documented in `CONTRIBUTING.md`. Never run
them against production.
Local clone flow:
git clone https://github.com/dawncr0w/affine-mcp-server.git
cd affine-mcp-server
npm install
npm run build
node dist/index.jsRelease Notes
License
MIT License - see LICENSE.
Support
- Open an issue on GitHub
- Review AFFiNE product documentation at docs.affine.pro
Acknowledgments
- Built for the AFFiNE knowledge base platform
- Uses the Model Context Protocol specification
- Powered by @modelcontextprotocol/sdk
Frequently asked questions
What is affine-mcp-server?
affine-mcp-server is a Model Context Protocol (MCP) server listed in the TrackMCP directory.
How do I install affine-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is affine-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/dawncr0w/affine-mcp-server and has 24 stars.
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