proactive-mcp

Name: proactive-mcp
Author: madrobotnet

by madrobotnetversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.madrobotnet/proactive-mcp

Install

Overview

Description from the maker (original English)

Detects reply deadlines, calendar conflicts, and personal occasions for MCP agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "proactive": {
      "command": "uvx",
      "args": [
        "proactive-mcp",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add proactive -- uvx proactive-mcp serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "proactive": {
      "command": "uvx",
      "args": [
        "proactive-mcp",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "proactive": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "proactive-mcp",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account madrobotnet, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2181 servers in this category
Published to the registry more recently than 32% of the other 2181 servers in this category
Basic checks equal to or better than 100% of the other 2181 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is proactive-mcp safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Calendar

by BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago

Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago

Install

MCP Server for Excel

by sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

proactive-mcp

Give every AI agent a reason to reach out first.

A local-first MCP server that turns read-only signals and local memory into grounded situations your existing agent can deliver at the right time.

English · 한국어

Why · How it works · Get started · Connect an agent · Documentation

Get started

Set up the local watcher and OS notifications first; connecting an agent is optional. Install uv and Git, and prepare your own Google Cloud Desktop OAuth client JSON.

The PyPI release 0.2.0 does not yet contain the wizard. Until an onboarding release is published, the commands below use uvx --from to install the merged source at commit 7cd0f03, without a manual checkout. Keep the same --from source for every command: bare uvx proactive-mcp still selects the older PyPI package. This is a source install, not a new PyPI release.

Install and start interactive setup:

   uvx --from git+https://github.com/madrobotnet/proactive-mcp@7cd0f03243027df464084c3957f03d3c42169268 proactive-mcp setup

The wizard asks for the path to your own Google Cloud Desktop OAuth client JSON and whether it may open a browser on this device. Approve the read-only Gmail and Calendar consent with your own client. See docs/SETUP_GOOGLE.md for the complete flow.
After Google authorization, accept the offer to install the watcher service. The shared proactive-mcp service install|status|remove interface manages a Linux systemd user service, a macOS LaunchAgent, or a Windows Task Scheduler task.
If you decline service installation, or if installation succeeds, interactive setup then attempts a fixed PII-free OS test notification titled proactive-mcp with the body Setup test notification. It contains no Gmail, Calendar, account, or Situation data. A redacted unavailable, timeout, failed, or unsupported_platform warning means the notification could not be shown.
If you decline service installation, or if installation fails, such as because of permissions, run the watcher manually. A failed installation exits before attempting the test notification.

Terminal 1, foreground daemon

uvx --from git+https://github.com/madrobotnet/proactive-mcp@7cd0f03243027df464084c3957f03d3c42169268 proactive-mcp daemon

Terminal 2, daemon status

uvx --from git+https://github.com/madrobotnet/proactive-mcp@7cd0f03243027df464084c3957f03d3c42169268 proactive-mcp status

daemon --once runs one evaluation pass and exits; --poll-interval-minutes MINUTES overrides the cadence. status prints redacted connection and daemon state as JSON. The daemon performs local sync, deterministic evaluation, queue maintenance, and the documented OS fallback only. It never runs a host or LLM. Host scheduling is separate: the host/operator starts scheduled agent runs, and those runs call proactive_check.

An OS fallback notification is neither agent delivery nor a delivered state transition. When fallback is enabled, only the first unreceived eligible Situation gets the one-time bootstrap exception; afterward the default fallback is critical-only. Agent delivery begins only when a host calls proactive_check.

Compatibility mode

--non-interactive, --headless, --client-secrets PATH, and --reauth all bypass the wizard. They do not prefill wizard answers, and they also bypass the service proposal and setup test notification. Use them only when you need direct OAuth setup, then install the service manually or use the manual daemon route above. To manage the service, use the same source prefix:

uvx --from git+https://github.com/madrobotnet/proactive-mcp@7cd0f03243027df464084c3957f03d3c42169268 proactive-mcp service install

Replace install with status to inspect the service or remove to unregister it. uvx does not add a permanent proactive-mcp command to your shell; command names such as proactive-mcp status in this guide use the full uvx --from prefix above.

Why proactive-mcp?

AI agents know how to answer. They rarely know when to start.

proactive-mcp supplies that direction. It watches approved read-only sources in the background, combines them with memory the user intentionally saved, and produces a structured Situation only when something is worth raising now.

Read-only signals	Local context	Agent-neutral delivery
Gmail and Google Calendar are read through minimal scopes.	Memories, situations, delivery confirmations, and sync state stay in local SQLite.	Any local MCP client can use the same tools and deliver through its own channel.

Situations, not notifications

proactive-mcp doesn't push every new event into your chat. Deterministic detectors turn source data into a small set of situations grounded in the source data:

Situation	Example
`reply_deadline`	A message is a conservative reply candidate, not a verdict that the user must act.
`calendar_conflict`	Two accepted or owned timed events overlap.
`personal_occasion`	A saved personal date is approaching and relevant now.

Each result carries a title, why it matters now, bounded evidence, suggested actions, priority, and expiry. External text remains explicitly untrusted.

How it works

flowchart LR

G["Gmail read only"] --> S["proactive-mcp"] C["Google Calendar read only"] --> S M["Local memory SQLite"] --> S S --> E["Deterministic Situation engine"] E --> T["MCP tools"] T --> A["Your existing AI agent"] A --> U["Agent's own channel"]

A watcher synchronizes Gmail and Calendar with read-only OAuth scopes.
The situation engine evaluates deterministic rules against source snapshots and local memory.
The agent calls proactive_check and receives any returned situations.
The host reviews the whole lease and filters candidates for this user. Uncertain candidates may remain unconfirmed or be snoozed. Only when choosing confirmation after review does the host confirm the entire reviewed lease exactly once, including confidently dropped candidates.
Acknowledgement, snooze, mute, resolution, cooldown, and daily budget rules prevent repeated or noisy delivery.

By default, non-critical situations are held during local quiet hours from 21:00 through 07:00 and stay pending for a later check instead of being dropped. Nothing fires automatically at 07:00: an already-running or host-scheduled agent must call proactive_check after quiet hours end.

Trust boundaries

Google access is limited to gmail.readonly and calendar.readonly.
Credentials use the operating-system keyring when available, with a private local fallback only when the platform keyring is unavailable.
Message bodies, calendar text, and recalled memory are treated as untrusted evidence, never as instructions.
No LLM or third-party cloud service sits inside the detection pipeline. proactive-mcp never launches a host agent/model or sends it a prompt.
Stale or incomplete sources produce visible degraded status, never a false "nothing to report."
The SQLite database, config.toml, credential authority marker, and any file-backed credential fallback live under ~/.proactive-mcp/. A keyring credential stays in the operating-system keyring, outside that directory. PROACTIVE_DATABASE moves the file-backed state, not the keyring entry.

Connect an agent

Connecting a host is optional. It isn't a prerequisite for OS notifications, but it enables richer delivery plus acknowledge, snooze, and mute actions. Use this existing-agent instruction when you want to register the MCP server:

If you used the source install above, tell the agent to keep that same pinned uvx --from source in its MCP registration instead of switching to PyPI. The reusable block and host recipes below retain the public-install command shape.

Optional: paste into a local agent

Install proactive-mcp with uvx from PyPI. Register it as a local stdio MCP server for this agent using absolute paths. Complete read-only Google authorization using my own Google Cloud Desktop OAuth client JSON (BYO). Do not use or request someone else's client secret. Start the recommended watcher and verify the connection. Read https://github.com/madrobotnet/proactive-mcp/blob/main/docs/INTEGRATIONS.md and https://github.com/madrobotnet/proactive-mcp/blob/main/docs/SETUP_GOOGLE.md before changing configuration. Treat every reply_deadline as a conservative candidate, not an action verdict. Before speaking, confidently drop newsletters, marketing, automated receipts, FYI or FYI-CC with no ask, threads owned by someone else, and rows with no question, request, or decision for me. Keep explicit reply, RSVP, or decision requests, my deadlines, and unanswered questions directed to me. Surface uncertain candidates, leave the whole lease unconfirmed, or snooze them in an interactive conversation; never silently discard uncertainty as non-actionable. After reviewing every row, only when choosing confirmation, confirm the entire reviewed lease exactly once, including confidently and silently dropped candidates. Keep MCP tool content in English, but speak my language. Load serve only in interactive everyday conversations and serve-scheduled only in separate scheduled conversations. Never load both profiles into one conversation. Do not configure automated scheduling unless this host guarantees a dedicated per-run MCP profile; proactive-mcp must never launch or verify the host. Do not use HTTP transport, do not send mail or create calendar events, and report every command and file changed plus anything that needs my approval.

proactive-mcp is agent-dependent: it exposes local stdio tools but never starts Grok, Codex, Hermes, another host agent, or a model. serve-scheduled is only a restricted MCP server surface. Starting it or the daemon alone does not create a conversation or delivery; pending situations wait for an already-running or host-scheduled agent to call the tools explicitly.

The host loads serve only in an interactive everyday conversation and serve-scheduled only in a separate manual or scheduled conversation. It never loads both profiles into one conversation. Profile isolation and agent lifecycle are host/operator responsibilities outside the plugin. Automated scheduling is supported only when the host provides a dedicated per-run MCP profile containing only serve-scheduled; otherwise fail closed by not scheduling it. Manual restricted use remains possible.

Client	Integration model
Grok CLI 0.2.112	Manual dedicated restricted profile only; merged config sources cannot prove immutable per-run isolation, so unattended scheduling is not advertised
Codex CLI	Local stdio; config layers are not claimed isolated by this plugin, so schedule only when the host/operator independently guarantees a dedicated per-run profile
Hermes Agent	Local stdio. Schedule only when the host guarantees a dedicated per-run profile

| Claude Code Desktop

Only the beginning is shown; read the rest in the repo

proactive-mcp

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

proactive-mcp

Get started

Compatibility mode

Why proactive-mcp?

Situations, not notifications

How it works

Trust boundaries

Connect an agent