productive-mcp

productive-mcp

An MCP server for Productive.io that enables users to log time, inspect projects, and manage time entries using natural language commands. It features fuzzy project matching, local caching, and remembers default services per project for streamlined time tracking.

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README

productive-mcp

An MCP server for Productive.io — log time, inspect projects, manage entries, and get team reports from any MCP-compatible client (Claude Code, Claude Desktop, Cursor, etc.) using plain English:

"log 2.5 hours on the Acme security review project"

"how many hours did Alice log this week?"

"give me my weekly briefing"

Built around the Productive.io JSON:API v2 with fuzzy project and person matching, a local disk cache, billing-cutoff-aware period resolution, and per-project default-service memory.


Features

  • 14 tools covering projects, people, services, time entries, reports, and briefings
  • Cross-platform credential storage — macOS Keychain, Windows Credential Manager (DPAPI/TPM-backed), Linux Secret Service, or environment variables
  • Fuzzy matching for projects and people — "Acme", "1099 Acme", "Alice", or "me" all resolve naturally
  • Billing-cutoff-aware period resolution"this_month" shifts based on your invoicing cycle
  • Remembers your default service per project so you don't have to specify it every time
  • Local cache for projects, people, and services (1-hour TTL, manually refreshable)
  • TOON output mode — optional token-optimised encoding for 30–60% fewer tokens
  • hours in, hours out — the API uses minutes internally, but you never see them
  • Scoped to "me" by defaultlist_time_entries only shows your own entries unless you opt out

Requirements

  • Python 3.11+
  • A Productive.io account with API access enabled
  • macOS, Windows, or Linux

Install

1. Clone and install

git clone https://github.com/cameronfairbairn/productive-mcp.git
cd productive-mcp
uv venv
uv pip install -e .

(or python -m venv .venv && .venv/bin/pip install -e . if you don't use uv)

2. Get your Productive credentials

You need three values:

Value Where to find it
API token Productive → Settings → API integrations → Generate new token
Organization ID The numeric segment in your Productive URL: app.productive.io/<ORG_ID>/…
Person ID Your own user ID — open your profile in Productive; it's the numeric segment in the URL

3. Store credentials

Option A — OS credential store (recommended)

Works on any platform via the keyring library:

python -c "import keyring; keyring.set_password('productive-mcp', 'token', '<token>')"
python -c "import keyring; keyring.set_password('productive-mcp', 'org_id', '<org_id>')"
python -c "import keyring; keyring.set_password('productive-mcp', 'person_id', '<person_id>')"
Platform Backend Security
macOS Keychain Secure Enclave where available
Windows Credential Manager (DPAPI) TPM-backed on TPM 2.0 systems
Linux (desktop) Secret Service (GNOME Keyring / KWallet) Session-encrypted

On macOS, the security CLI also works (keyring reads from the same Keychain):

security add-generic-password -s productive-mcp -a token      -w "<token>"      -U
security add-generic-password -s productive-mcp -a org_id     -w "<org_id>"     -U
security add-generic-password -s productive-mcp -a person_id  -w "<person_id>"  -U

Option B — environment variables (CI / headless / override)

export PRODUCTIVE_MCP_TOKEN="<token>"
export PRODUCTIVE_MCP_ORG_ID="<org_id>"
export PRODUCTIVE_MCP_PERSON_ID="<person_id>"

Environment variables take precedence over the credential store.

4. Register the server with your MCP client

Claude Code (~/.claude.json)

{
  "mcpServers": {
    "productive": {
      "type": "stdio",
      "command": "/path/to/productive-mcp/.venv/bin/productive-mcp",
      "args": []
    }
  }
}

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "productive": {
      "command": "/path/to/productive-mcp/.venv/bin/productive-mcp"
    }
  }
}

Restart the client after editing its config.

5. (Optional) Global install with the bundled deploy script

bash scripts/install.sh

This creates ~/.local/share/productive-mcp/ containing a fresh venv and a run.sh launcher. Point your MCP client at ~/.local/share/productive-mcp/run.sh instead. Re-running the script upgrades in place.


Tools

All tools are prefixed with productive_ so they namespace cleanly alongside other MCP servers.

Time tracking

Tool Purpose
productive_log_time Create a time entry
productive_list_time_entries List time entries with date/project/owner filters
productive_update_time_entry Edit hours / date / note / service on an existing entry
productive_delete_time_entry Permanently delete a time entry

Reports and briefings

Tool Purpose
productive_get_time_report Categorised hours summary (worked/client/internal/holidays)
productive_get_employee_hours Hours summary for any team member by name
productive_my_projects Projects you've logged time on recently
productive_my_briefing Weekly summary with hours-by-project breakdown

Projects, people, and services

Tool Purpose
productive_list_projects List all active projects
productive_find_project Fuzzy-search projects by name and/or number
productive_find_person Fuzzy-search people by name or email
productive_list_services List services (billable activity types) on a project

Administration

Tool Purpose
productive_refresh_cache Force an immediate cache refresh
productive_set_default_service Override the remembered default service for a project

Key tool details

productive_get_time_report

period   : str?  — "this_month", "last_month", "this_week", "last_week"
after    : str?  — ISO date; ignored if period set
before   : str?  — ISO date; ignored if period set
person   : str?  — Name, email, id, or "me" (default)
project  : str?  — Scope to a specific project

Returns totals_hours: {worked, client, internal, holidays}. When PRODUCTIVE_BILLING_CUTOFF_DAY is set, "this_month" shifts based on your billing cycle.

productive_my_briefing

period : str — Default "this_week"

Returns total hours, projects touched, hours-by-project breakdown, and recent entries. Designed for the Monday-morning "what am I working on?" question.

productive_get_employee_hours

person : str  — Fuzzy name, email, or "me"
period : str? — Symbolic period (default: no filter)
after  : str? — ISO date
before : str? — ISO date

Finds a person by fuzzy match, returns their hours for the period.


Configuration

Environment variables

Variable Default Purpose
PRODUCTIVE_MCP_TOKEN API token (overrides credential store)
PRODUCTIVE_MCP_ORG_ID Organization ID (overrides credential store)
PRODUCTIVE_MCP_PERSON_ID Person ID (overrides credential store)
PRODUCTIVE_BILLING_CUTOFF_DAY unset Day of month (1–31) when "this_month" flips to the current calendar month
PRODUCTIVE_MCP_OUTPUT_FORMAT json Set to toon for Token-Optimized Object Notation (30–60% fewer tokens)

Billing cutoff day

The PRODUCTIVE_BILLING_CUTOFF_DAY controls how symbolic periods resolve for invoicing workflows:

  • Before cutoff day: "this_month" = previous calendar month (you're still closing invoices)
  • From cutoff day onward: "this_month" = current calendar month
  • Unset: "this_month" always means the current calendar month

Example: with PRODUCTIVE_BILLING_CUTOFF_DAY=10, on April 5th, "this_month" resolves to March 1–31.


Security & permissions

Credential storage

API tokens are never written to disk by this project. They live in the OS credential store (Keychain / Credential Manager / Secret Service) or in environment variables.

Productive's permission model

Each team member generates their own API token via Productive → Settings → API integrations (docs). Tokens inherit the generating user's permissions:

"API tokens inherit the same access restrictions as the user they are associated with. If a user does not have permission to access certain features or data within Productive, these limitations will also apply to their API token."

Tokens also have a read-only vs read/write scope chosen at creation time.

What this means for team deployments:

  • A "Member"-role user's token cannot query other members' time entries — Productive returns 403.
  • The real access boundary is the Productive role (Settings → People → Role), not MCP-side configuration.
  • Tools like productive_get_employee_hours will simply return empty/error for users whose Productive role doesn't grant team visibility.

For more on roles: User Permissions Overview | Productive API docs


How it works

Architecture

┌─────────────────────┐   stdio    ┌──────────────────────┐   HTTPS   ┌─────────────────┐
│  MCP client         │ ─────────► │  productive-mcp      │ ────────► │  Productive.io  │
│  (Claude Code etc.) │            │  (FastMCP server)    │           │  JSON:API v2    │
└─────────────────────┘            └──────────┬───────────┘           └─────────────────┘
                                              │
                                              ▼
                                    ~/.config/productive-mcp/
                                    ├── cache.json        (projects, people, services)
                                    └── preferences.json  (per-project default service)

Credential lookup order

  1. Environment variable (PRODUCTIVE_MCP_TOKEN / _ORG_ID / _PERSON_ID)
  2. OS credential store via keyring (Keychain / Credential Manager / Secret Service)
  3. Error with a helpful message pointing at both options

Local state

Two files under ~/.config/productive-mcp/, both 0600:

  • cache.json — projects, people (active only), per-project services. 1-hour TTL.
  • preferences.json{ "default_services": { "<project_id>": "<service_id>" } }.

Neither file ever contains credentials.


Development

uv pip install -e ".[dev]"

# unit tests (no network required)
pytest

# integration tests (hit the real Productive API — requires credentials)
pytest -m integration

# lint + type check
ruff check .
mypy src

Project layout

src/productive_mcp/
├── __main__.py      Entrypoint (python -m productive_mcp)
├── server.py        FastMCP tool definitions (14 tools)
├── client.py        Async Productive.io API client + fuzzy matcher
├── auth.py          Cross-platform credential loader (keyring + env)
├── storage.py       Local cache + preferences persistence
├── periods.py       Billing-cutoff-aware period resolution
└── reporting.py     Time entry categorisation for reports
scripts/
└── install.sh       One-shot deploy script for the global launcher
tests/
├── test_client.py   Fuzzy matching + trim functions
├── test_periods.py  Period resolution + billing cutoff
├── test_reporting.py  Entry categorisation
└── test_formatter.py  TOON output encoding

Troubleshooting

"Credential store lookup failed" The keyring backend isn't configured or accessible. Check: python -c "import keyring; print(keyring.get_keyring())". On headless Linux, use environment variables instead.

"No credential found for service=productive-mcp" Credentials haven't been stored yet. Run the keyring.set_password(...) commands from the install section.

"No project matches 'X'" Cache may be stale. Call productive_refresh_cache and retry.

"Ambiguous project query" Two projects scored nearly identically. Be more specific — add the project number.

"Project has multiple services; pass service_hint" Either pass service_hint="…" (it'll be remembered), or call productive_set_default_service once upfront.


Alternatives

Several other Productive.io MCP servers exist:

Why pick this one?

  1. Cross-platform credential store — not a .env file. macOS Keychain, Windows Credential Manager (TPM-backed), Linux Secret Service.
  2. Fuzzy matching for projects and people — say "Alice" or "1099 Acme" instead of looking up IDs.
  3. Per-project default service memory — log time without specifying the service after the first call.
  4. Billing-cutoff-aware reports"this_month" means what your invoicing cycle says it means.
  5. TOON output mode — 30–60% fewer tokens for long sessions.

License

MIT — see LICENSE.

Contributing

Issues and PRs welcome. Please include tests for new behaviour.


Not affiliated with Productive.io. "Productive" is a trademark of its respective owners.

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