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.
Model Context Protocol server for AFFiNE - enables AI assistants to interact with AFFiNE workspaces, documents, and collaboration features.
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
Coordinates concurrent writes per workspace through one shared MCP server; optional document revisions reject stale edits
Supports session-cookie and email/password authentication, plus compatible bearer tokens for older deployments
Exposes 107 canonical MCP tools backed by AFFiNE GraphQL and WebSocket APIs
Reads native database created-by (user ID) and created-time (timestamp) columns from row metadata; missing or invalid metadata returns null without backfilling it
Sets and clears native AFFiNE Journal dates with set_doc_journal
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
After a content write, transient workspace timestamp failures are retried up to three times with backoff. If metadata still cannot be confirmed, inspect the saved document before any repair; do not repeat the content edit. See document mutation recovery.
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
delete_doc removes workspace page metadata and requests content deletion. Some AFFiNE servers retain content despite acknowledging the request; the tool returns a partial result with a warning unless content absence is verified. Use trash_doc for recoverable cleanup.
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
HTTP deployments have two environment-only session limits:
Variable
Default
Purpose
AFFINE_MCP_HTTP_MAX_SESSIONS
32
Combined Streamable HTTP and legacy SSE session capacity, including sessions being initialized
AFFINE_MCP_HTTP_SESSION_IDLE_TIMEOUT_MS
1800000 (30 minutes)
Idle time before an inactive session is closed
Short-lived Streamable HTTP clients, including cron jobs, should send DELETE /mcp
with their Mcp-Session-Id and authentication headers when finished. Exiting the
client process alone does not terminate its server-side session. A long idle
timeout can let abandoned sessions fill the limit and cause 503 / -32002
errors. Close unused sessions and choose an appropriate idle timeout before
raising the cap. See session capacity troubleshooting.
3. Save credentials with interactive login
affine-mcp login
This stores credentials in $XDG_CONFIG_HOME/affine-mcp/config when XDG_CONFIG_HOME is set, otherwise in ~/.config/affine-mcp/config, with mode 600.
The login flow reuses the configured or saved AFFiNE URL when you press Enter at
the URL prompt. After authentication, workspace discovery displays the workspace
name first and falls back to Workspace name unavailable when profile metadata
has no name; the full ID remains visible. An invalid numeric selection is rejected
and prompted again. Enter q or send end-of-file to cancel without writing a new
config. A failed discovery request is reported as a failure; it is not treated as
a completed login.
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
The prompt defaults to AFFINE_BASE_URL from the environment or the saved config file, so pressing Enter keeps an already-configured self-hosted URL instead of switching back to AFFiNE Cloud.
For a self-hosted instance reached over plain HTTP on a trusted private network, AFFINE_ALLOW_INSECURE_HTTP=true must be set for the login run as well as for the server. The opt-in is read from the environment first and then from the saved config file.
To avoid re-running login when a session expires, persist the account credentials instead of the session cookie:
affine-mcp login --save-credentials
With the email/password method, this stores AFFINE_EMAIL and AFFINE_PASSWORD so the server signs in on its own and renews the session before it expires. The password is written to the mode-600 config file, so use a dedicated least-privilege AFFiNE account. Without this flag the CLI keeps storing only the session credential, which never renews by itself.
For scripted session-cookie setup, keep the cookie out of process arguments:
Paste 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.
After login, inspect and switch the saved default workspace without signing in
again:
workspaces lists names first and marks the current default. workspace validates
the requested ID with the active credentials and changes only the local default
(AFFINE_WORKSPACE_ID); it does not grant access to a workspace or change the
authenticated account. With no ID, it uses the same validated selection flow.
affine-mcp status
affine-mcp doctor
affine-mcp snippet codex
The recommended Codex form is a command-only registration line that keeps using
the current saved login. snippet claude and snippet cursor print JSON
configuration instead. Apply the generated snippet, then restart or reconnect
the MCP client so it starts a fresh server process.
For an explicit environment snapshot, add --env to any snippet command. It
copies the currently resolved URL, authentication, headers, workspace, and
relevant OAuth settings; client environment variables win over saved config at
runtime. Remove or regenerate copied credentials when they expire instead of
expecting a saved login to override them.
If you want to expose the server remotely over HTTP instead of stdio, start with docs/configuration-and-deployment.md.
If an HTTP server already runs on the same host as your stdio client, use the
private stdio HTTP bridge
instead of starting another full server process.
Compatibility Matrix
Node.js 20.18.1 is the minimum supported runtime. CI validates the Node.js 20, 22, 24, and 26 release lines.
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.
get_capabilities exposes the full implemented list in
server.supportedTools and the currently enabled surface in
server.effective.profile and server.effective.enabledTools, after profiles,
disabled groups or tools, and auth-mode policy. Inspect tools/list when you
need the final set of callable tools.
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
For new document content, use create_doc for an optional single plain-text
paragraph and create_doc_from_markdown for native headings, lists, links,
code blocks, and $$...$$/$...$ math equations. Both tools accept folderId for immediate organize-folder placement.
New pages record the authenticated AFFiNE account in the app's Created by
property, including semantic pages, template instances, and workspace welcome pages.
Existing creator records are preserved; older pages are not backfilled.
New database rows also record the authenticated AFFiNE account and creation time,
including rows composed from intent or inserted as paragraph blocks. Editing or
moving existing rows preserves their creation metadata; older rows are not backfilled.
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.
Full-note replacement with replace_doc_with_markdown is destructive and requires full without disabling the destructive group. core and authoring retain incremental editing through append_markdown and update_block.
Core configuration uses environment > saved config > defaults. HTTP body/session
limits, proxy settings, WebSocket timeouts, and the HTTP compatibility escape
hatches are environment-only runtime flags; they are not read from the saved
KEY=value file. See configuration precedence and environment scope.
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. Generated workspace and document URLs
use the configured AFFiNE base URL, so a custom GraphQL path does not become part
of a browser link.
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
For GUI clients, verify command -v affine-mcp and command -v node; an absolute
script path does not fix a #!/usr/bin/env node shebang when the GUI process has
no Node.js directory in PATH. See GUI client PATH troubleshooting.
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 ci
Additional 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.js
Списка инструментов пока нет. У удалённых серверов он появляется после первой проверки состояния.
FAQ
Вопросы
Как установить Affine?
Скопируйте на этой странице конфигурацию stdio для Cursor, Claude Desktop, Claude Code или VS Code. Она использует установку издателя, а не прокси PlugMCP.
Нужен ли API-ключ для Affine?
В этой записи не указано обязательных переменных окружения.
Какой транспорт использует Affine?
Affine работает локально через stdio.
Когда Affine проверялся в последний раз?
Последняя проверка: 2026-11-15. Model Context Protocol server for AFFiNE - enables AI assistants to interact with AFFiNE workspaces, documents, and collaboration features.
