Deferno MCP Server

Deferno MCP Server

Exposes the Deferno task-manager backend to AI agents, enabling them to read, create, update, and manage tasks, habits, chores, events, and daily plans.

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Deferno MCP Server

An MCP server that exposes the Deferno task-manager backend to AI agents.

MCP is the open standard used by Claude Desktop / Claude Code, Cursor, Windsurf, Zed, VS Code Copilot agents, Continue, OpenAI Agents, and others, so this server works with any of them — you configure it once in your client and every tool and resource below becomes available.

What the agent can do

Reading items (kind-neutral)

Reads are kind-neutral: one set of tools spans Tasks, Habits, Chores, and Events. Every read returns a Compact projection by default — a small fixed field set chosen so reads don't flood the agent's context — and accepts full=true to get the complete record instead.

Tool Purpose
get_item Fetch ONE item (any kind) by any Ref input form
list_items Bounded, kind-neutral list backed by GET /items (filters + limit + window)
search_items Compact full-text search over items

Removed: the old task-list tools list_tasks, get_task, and search_tasks are gone. Use the kind-neutral list_items / get_item / search_items above instead. (Their defernowork://tasks and defernowork://task/{task_id} resources were removed too — see the Resources table.)

get_item(item, full=False, as_alias=False) — fetch a single item by any Ref input form. Compact projection by default (single-item compact keeps description); full=true returns the complete record (action history, comments, children, mood, attachments…). as_alias=true forces the by-alias lookup for ambiguous external strings (e.g. ABC-223) that the classifier deliberately won't auto-route.

list_items(kind=, status=, from_date=, to_date=, limit=, full=False, window=None) — the canonical bounded list. kind / status / from_date / to_date compose into an OData $filter; limit maps to $top (the backend caps it at 500 by rejecting larger values with a 400 — it does not silently clamp); full=true returns full rows; window="all" opts out of the default done-visibility window for full history. Compact list rows are narrower than get_item — roughly ref, kind, title, status, complete_by, parent_id, labels, with the body dropped.

search_items(query, status=, label=, from_date=, to_date=, parent_id=, full=False) — compact full-text search; output is the same narrow Compact projection as list_items (full=true for full rows). Note: full-text is Tasks-only in the backend today (a kind-neutral /items/search is a known backend follow-on); use list_items to enumerate non-Task kinds.

Other tools

Tool Purpose
start_auth Begin browser-based login (returns a URL + session ID)
complete_auth Exchange the browser code for a saved token
logout Invalidate session and remove saved credentials
whoami Return the currently authenticated user
create_task Create a new task (optionally nested under a parent)
update_task Patch any mutable field (title, description, status, mood…)
set_task_status Convenience wrapper for open/in-progress/done/…
move_task Reparent or reorder a task in the hierarchy
split_task Decompose a task into two child tasks
fold_task Insert a next-step task into the sibling chain
merge_task Roll a parent's active children back into the parent
convert_item Convert an item to a different kind (Task/Chore/Habit/Event)
create_chore / create_habit / create_event Create the other recurring/calendar item kinds
get_daily_plan Today's curated daily plan (recurring + carried forward)
get_items_plan Daily plan across all item kinds (polymorphic)
add_to_plan / remove_from_plan / reorder_plan Manage the daily plan ordering
get_calendar_events Query recurring + one-off events for a date range
get_items_calendar Calendar view across all item kinds
get_mood_history Mood log for finished tasks

Kind-specific mutations (update_*, delete_*, occurrence tools, attachment tools, etc.) accept any Ref input form for their item-id arguments — Transparent resolution resolves the ref to a UUID before the backend call runs. (This is the full list trimmed for brevity; every kind — Task, Habit, Chore, Event — has its own create/update/ delete and occurrence/attachment tools.)

Ref input forms

Anywhere a tool names a single item (and the defernowork://item/{ref} resource), the MCP accepts any Ref input form and resolves it to a UUID before acting — the agent never has to know which form it holds (Transparent resolution). The recognised forms are:

Form Example Notes
UUID b1c2… passed straight through (no lookup)
Sequence shorthand #123 or bare 123 resolves against your personal org only
Canonical ref acme-123, u-1y0e2v-123 resolves across orgs
App URL https://app.defernowork.com/o/{org_slug}/items/{seq-or-id} paste verbatim; resolves across orgs
GitHub alias owner/repo#N auto-routes to by-alias (External tasks feature)

A bare #N always means a Deferno Sequence shorthand here — it is not inferred as a GitHub issue. Ambiguous strings like ABC-223 collide with a Canonical ref and are not auto-routed; use get_item(item, as_alias=true) to force the alias path. (Resolving the Deferno-# vs GitHub-# ambiguity from conversation is the job of a future context-adaptive classifier — see CONTEXT.md and docs/adr/0001-transparent-ref-resolution.md.)

Resources

(readable by MCP clients that index resources)

URI Content
defernowork://tasks/plan Today's curated daily plan
defernowork://tasks/mood-history Mood log for finished tasks
defernowork://item/{ref} A single item by any Ref input form (Compact)

The unbounded defernowork://tasks (all-tasks) and UUID-only defernowork://task/{task_id} resources were removed (per ADR-0002): unbounded reads flood agent context, and the any-ref defernowork://item/{ref} above supersedes the single-task resource.

Install

The easiest way is uvx — it runs the package in an isolated environment without a manual install step:

uvx defernowork-mcp

Or install permanently:

pip install defernowork-mcp
# or with uv:
uv pip install defernowork-mcp

Authenticate

Run the one-time auth command:

defernowork-mcp auth --base-url https://app.defernowork.com/api

This opens a browser-based login flow:

  1. A URL is printed — open it in your browser
  2. Sign in (or approve if already signed in)
  3. A short code is shown — paste it back into the terminal

Your token is saved to ~/.config/defernowork/credentials.json and loaded automatically on future runs. No env vars needed.

Alternatively, set DEFERNO_TOKEN as an environment variable to skip the interactive flow (useful for CI or containers).

Authentication flow

The auth flow works the same whether triggered from the CLI (defernowork-mcp auth) or from within an agent (the start_auth / complete_auth MCP tools). Three backend endpoints coordinate the handshake:

MCP / CLI                  Backend                     Browser
  |                          |                           |
  |-- POST /auth/cli/init -->|                           |
  |<-- {session_id, url} ----|                           |
  |                          |                           |
  |  (user opens url)        |                           |
  |                          |<--- GET /cli-auth?s=...---|
  |                          |                           |
  |                          |   (user logs in if needed)|
  |                          |                           |
  |                          |<- POST /auth/cli/approve -|
  |                          |   {session_id}            |
  |                          |-- {code} ---------------->|
  |                          |   (browser shows code)    |
  |                          |                           |
  |  (user pastes code)      |                           |
  |                          |                           |
  |-- POST /auth/cli/verify->|                           |
  |   {session_id, code}     |                           |
  |<-- {token, user} --------|                           |
  |                          |                           |
  |  (token saved to disk)   |                           |

Backend endpoints

Endpoint Auth Request Response
POST /auth/cli/init none {} {session_id: string, auth_url: string}
POST /auth/cli/approve Bearer {session_id: string} {code: string}
POST /auth/cli/verify none {session_id: string, code: string} {token: string, user: {id, username, …}}

cli/init creates a pending CLI session in Redis with a short TTL (~10 minutes) and returns a URL the user should open in their browser.

cli/approve is called by the frontend after the user is logged in. It creates a new backend session for the CLI (including the cached DEK so encrypted task data remains accessible), generates a short one-time code, and stores both in the CLI session record. The browser session and CLI session are independent — logging out of one does not affect the other.

cli/verify is called by the MCP server / CLI. It looks up the CLI session, verifies the code, returns the session token and user info, and deletes the CLI session record from Redis.

Token resolution order

When the MCP server needs a token it checks, in order:

  1. Per-request Authorization: Bearer header (HTTP transport only)
  2. DEFERNO_TOKEN environment variable
  3. Saved credentials at ~/.config/defernowork/credentials.json

Agent-driven flow

When an agent (Claude Code, Cursor, etc.) calls any tool and gets a 401, the server instructions tell it to:

  1. Call start_auth — returns {auth_url, session_id}
  2. Show the URL to the user and ask them to sign in
  3. Ask the user to paste the code shown in their browser
  4. Call complete_auth(session_id, code) — saves credentials to disk

All subsequent tool calls work automatically, including across restarts.

Configure

Environment variables:

Variable Default Purpose
DEFERNO_BASE_URL http://127.0.0.1:3000/api URL of the Deferno backend HTTP API (must include /api prefix)
DEFERNO_TOKEN (unset) Pre-existing bearer token; skips browser login
DEFERNO_LOG_LEVEL WARNING Python logging level

API envelope versions

The MCP server intentionally speaks both 0.1 and 0.2 of the Deferno API envelope. This is forward-prep: the backend has not cut over yet — it still emits 0.1 today — and accepting 0.2 now means the MCP keeps working unchanged the moment an imminent 0.2 cutover lands (and during any partial rollout where both shapes are in flight). No client-side configuration is needed — DefernoClient accepts either envelope and unwraps data the same way. The set is defined as SUPPORTED_API_VERSIONS in src/defernowork_mcp/client.py; once the backend has settled on "0.2" and rollback to "0.1" is no longer plausible, drop "0.1" from the frozenset.

Client configuration snippets

Claude Desktop / Claude Code (Interactive method)

Add Deferno's MCP server to Claude's MCP configuration using the command line:

claude mcp add --transport http deferno https://app.defernowork.com/mcp

Or add to your MCP client settings (claude_desktop_config.json on Claude Desktop, or Claude Code's mcpServers config):

{
  "mcpServers": {
    "deferno": {
      "command": "uvx",
      "args": ["defernowork-mcp"],
      "env": {
        "DEFERNO_BASE_URL": "https://app.defernowork.com/api"
      }
    }
  }
}

Headless or mcporter (Token method)

If you prefer to skip the interactive flow, or you are running in a headless/SSH environment, provide a token directly. First, generate the MCP Personal access tokens through Deferno's Settings/Interactions page, then paste it into the config:

{
  "mcpServers": {
    "deferno": {
      "command": "uvx",
      "args": ["defernowork-mcp"],
      "env": {
        "DEFERNO_BASE_URL": "https://app.defernowork.com/api",
        "DEFERNO_TOKEN": "..."
      }
    }
  }
}

Development

Syntax / import sanity check:

python -c "from defernowork_mcp.server import create_server; create_server()"

src/defernowork_mcp/server.py wires the server (auth, OAuth, resources) and delegates the tool surface to per-area modules under src/defernowork_mcp/tools/ (e.g. items.py, tasks.py, chores.py, habits.py, events.py, …), each exposing a register(mcp, get_client, format_error, …) entry point. A thin async HTTP client (src/defernowork_mcp/client.py), credential storage (src/defernowork_mcp/credentials.py), and the shared Ref classifier/resolver (src/defernowork_mcp/refs.py) round it out. Adding a new tool is a matter of wrapping a new client method in an @mcp.tool() inside the relevant tools/ module; any id argument should be run through resolve_ref so it accepts every Ref input form.

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