Does ContextPulse require a cloud service or API key?

The README describes it as local-first with zero cloud dependency, no accounts, and no third-party servers.

Which MCP clients are mentioned as compatible?

The README mentions Claude Desktop, Cursor, Windsurf, and VS Code as MCP clients that can access its tools.

What does the memory system support?

It supports key-value storage, tags, TTLs, listing, deletion, statistics, hybrid or keyword search, and vector search using all-MiniLM-L6-v2 embeddings.

Linux support is not complete; the README says community contributions are welcome and platform modules still need implementation.

Contextpulse

Q: Where does ContextPulse run?

It runs as a local desktop daemon with full support listed for Windows 10+ and macOS 13+ on Apple Silicon or Intel.

desktop-contextscreen-capturespeech-to-textactivity-trackingsemantic-memory

Local desktop MCP daemon for screen, voice, clipboard, input activity, project context, and semantic memory.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "contextpulse-contextpulse": {
      "command": "uvx",
      "args": [
        "contextpulse-memory"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

ContextPulse captures screen content, OCR text, local Whisper transcriptions, clipboard data, and keyboard or mouse activity on Windows and macOS. It exposes this context through 35 MCP tools, including history search, project detection, and local semantic memory. Use it when an AI agent needs awareness of a developer’s current or recent desktop activity without sending data to cloud services.

Use cases

Inspect the current screen and extract visible text

Search recent screen, clipboard, voice, and input activity

Review work history and identify the active project

Retrieve or store project-specific semantic memories

Capture local voice dictation and transcription history

Key features

Screen capture with native-resolution OCR

Local Whisper voice transcription

Keyboard, mouse, and clipboard activity tracking

Activity and cross-modal full-text search

Project detection and PROJECT_CONTEXT.md retrieval

Hybrid and vector semantic memory search

Capabilities & Tool Schemas (31)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Contextpulse.

get_screenshot

Capture screen (active monitor, all monitors, or a region)

get_recent

Recent frames from the rolling buffer (with diff filtering)

get_screen_text

OCR the current screen at native resolution

get_monitor_summary

Lightweight text summary of all monitors (low token cost)

get_buffer_status

Daemon health check + buffer stats

get_activity_summary

App usage breakdown over last N hours

Documentation Overview

ContextPulse

Local-first ambient context for AI agents.
Screen capture, voice dictation, clipboard, keyboard/mouse activity. All local, all private.

Developer Preview (v0.1-alpha). ContextPulse is under active development. APIs and configuration may change between releases. Report issues.

ContextPulse is a desktop daemon that captures your screen, voice, and keyboard/mouse activity in real time, then delivers it to AI agents through the Model Context Protocol (MCP). One process, one tray icon, 35 MCP tools, zero cloud dependency.

Everything stays local. No cloud. No telemetry. Your data never leaves your machine.

Code

┌─────────────────────────────────────────────────┐
│              ContextPulse Daemon                 │
│                                                  │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐      │
│  │  Sight   │  │  Voice   │  │  Touch   │      │
│  │ Screen   │  │ Dictate  │  │ Keys +   │      │
│  │ OCR      │  │ Whisper  │  │ Mouse    │      │
│  │ Clipboard│  │ Vocab    │  │ Bursts   │      │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘      │
│       └──────────────┼──────────────┘            │
│                      ▼                           │
│              ┌──────────────┐                    │
│              │  EventBus    │                    │
│              │  (Spine)     │                    │
│              └──────┬───────┘                    │
│                     ▼                            │
│              ┌──────────────┐                    │
│              │ activity.db  │                    │
│              │ SQLite+FTS5  │                    │
│              └──────────────┘                    │
└────────────────────┬────────────────────────────┘
                     │ MCP (streamable-http :8420)
        ┌────────────┼────────────┐
        ▼            ▼            ▼
   Claude Code    Cursor      Any MCP
                              Client

Quick Demo

server.ts

> You: "What am I looking at right now?"

Claude calls get_screenshot → get_screen_text:

  Active window: VS Code, src/auth/middleware.ts
  OCR text: "export async function validateToken(req: Request)..."
  Clipboard: "Bearer eyJhbGciOiJIUzI1NiIs..."

> Claude: "You're editing the auth middleware in VS Code.
>          I can see the validateToken function, and you have
>          a Bearer token in your clipboard. Want me to help
>          debug the token validation?"

Code

> You hold Ctrl+Space and say: "refactor this to use the new auth provider"

ContextPulse Voice transcribes → pastes into editor
Claude calls get_recent_transcriptions → get_screen_text:

> Claude: "I can see your dictation and the current file.
>          Here's the refactored middleware using AuthProvider..."

Code

> You: "What was I working on before lunch?"

Claude calls get_activity_summary(hours=4) → search_history("auth"):

  10:15 AM  VS Code, auth/middleware.ts (45 min)
  11:00 AM  Chrome, JWT.io (12 min)
  11:15 AM  VS Code, auth/tests/test_middleware.py (30 min)
  11:45 AM  Slack, #backend channel (15 min)

> Claude: "You spent the morning on auth middleware: writing
>          the implementation, checking JWT specs, then adding
>          tests. You were in Slack #backend right before lunch."

Why ContextPulse?

AI coding assistants are powerful but blind. They can't see your screen, hear your voice notes, or know what you were just doing. ContextPulse bridges this gap:

Local-first, zero cloud dependency. Your screen, voice, and input data never leave your machine. No accounts, no subscriptions, no third-party servers. Privacy by architecture, not by policy.
MCP-native from day one. ContextPulse exposes all context as MCP tools. Any MCP client (Claude Desktop, Cursor, Windsurf, VS Code) gets full context without custom integrations.
True multi-modal in a single daemon. Screen capture, voice dictation, keyboard/mouse input, and semantic memory run in one lightweight process (<1% CPU). No stitching multiple tools together.
Open source (AGPL-3.0). Fully auditable, self-hostable, and extensible. No vendor lock-in, no SaaS dependency, no risk of acquisition-driven shutdowns.

What Makes ContextPulse Different

Capability	ContextPulse	Typically Available?
Screen capture + OCR	Yes, native resolution	Common
Voice dictation	Yes, local Whisper	Rare as integrated feature
Keyboard + mouse tracking	Yes	Rare
Semantic memory	Yes, three-tier with hybrid search	Rare
All modalities in one daemon	Yes, single lightweight process	No, usually separate tools
MCP-native	Yes, 35 tools	Emerging
100% local, zero cloud	Yes, privacy by architecture	Uncommon
Open source	AGPL-3.0	Varies

Platform Support

Platform	Status
Windows 10+	Full support
macOS 13+ (Apple Silicon and Intel)	Full support
Linux	Community contributions welcome -- core abstractions are in place, platform modules need implementation

Installation

bash

git clone https://github.com/ContextPulse/contextpulse
cd contextpulse
# Windows
pip install -e packages/core -e packages/screen -e packages/voice -e packages/touch -e packages/project

# macOS — the [macos] extras are REQUIRED, not optional niceties. They pull in
# pyobjc (clipboard, window, caret, session monitor), rumps (menu bar) and
# mlx-whisper (Apple Silicon transcription). Without them the install succeeds
# and then fails at runtime.
pip install -e "packages/core[macos]" -e "packages/screen[macos]" -e "packages/voice[macos]" \
            -e packages/touch -e packages/project

# Optional: persistent memory + semantic search
pip install -e packages/memory

Configure your AI agent and install companion skills:

bash

contextpulse --setup claude-code   # configures MCP + installs skills
# or: contextpulse --setup gemini  # for Gemini CLI
# or: contextpulse --setup all     # both

Start ContextPulse:

bash

contextpulse       # starts the background daemon
contextpulse-mcp   # starts the MCP server on port 8420

That's it. Your AI agent now has tools for reading your screen, voice, activity, and memory.

Manual MCP configuration (if not using --setup)

Add to ~/.claude.json:

config.json

{
  "mcpServers": {
    "contextpulse": {
      "type": "http",
      "url": "http://127.0.0.1:8420/mcp"
    }
  }
}

MCP Tools

Sight (11 free tools)

Tool	What it does
`get_screenshot`	Capture screen (active monitor, all monitors, or a region)
`get_recent`	Recent frames from the rolling buffer (with diff filtering)
`get_screen_text`	OCR the current screen at native resolution
`get_monitor_summary`	Lightweight text summary of all monitors (low token cost)
`get_buffer_status`	Daemon health check + buffer stats
`get_activity_summary`	App usage breakdown over last N hours
`search_history`	Full-text search across window titles + OCR text
`get_context_at`	Frame + metadata from N minutes ago
`get_clipboard_history`	Recent clipboard entries
`search_clipboard`	Search clipboard by text content
`get_agent_stats`	Which MCP clients are consuming context, and how often

Voice (3 free tools)

Tool	What it does
`get_recent_transcriptions`	Recent voice dictation history (raw + cleaned)
`get_voice_stats`	Dictation count, duration, accuracy stats
`get_vocabulary`	Current word correction entries

Touch (3 free tools)

Tool	What it does
`get_recent_touch_events`	Typing bursts, clicks, scrolls, drags
`get_touch_stats`	Keystroke count, WPM, click/scroll totals
`get_correction_history`	Voice-to-typing correction detections

Project (5 free tools)

Tool	What it does
`identify_project`	Score text against all projects, return best match
`get_active_project`	Detect current project from CWD or window title
`list_projects`	All indexed projects with overviews
`get_project_context`	Full PROJECT_CONTEXT.md for a project
`route_to_journal`	Route an insight to the project journal

Memory (5 free + 2 Pro tools)

Basic memory is free forever. No license required.

Tool	Tier	What it does
`memory_store`	Free	Store a key-value memory with optional tags and TTL
`memory_recall`	Free	Retrieve a memory by exact key
`memory_list`	Free	List memories, optionally filtered by tag
`memory_forget`	Free	Delete a memory by key
`memory_stats`	Free	Storage statistics (entry counts, DB sizes, tiers)
`memory_search`	Pro	Hybrid/keyword/semantic search across all stored memories
`memory_semantic_search`	Pro	Pure vector search using all-MiniLM-L6-v2 embeddings

Memory uses a 3-tier hot/warm/cold architecture: in-memory LRU cache → SQLite WAL + FTS5 → compressed archive. The optional pip install contextpulse-memory package ships these tools.

Pro (4 tools, requires license or 30-day trial)

Read the full README →View source on GitHub →

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Contextpulse

It runs as a local desktop daemon with full support listed for Windows 10+ and macOS 13+ on Apple Silicon or Intel.

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Technical Specs & Signals

CategoryWorkplace & Productivity

PricingFree

11/11 checks healthy over the last 34d

57Quality signal: Good · 57/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools29/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · contextpulse-memory (PyPI)

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More in 🏢 Workplace & Productivity →Best MCP servers for Workplace & Productivity →Alternatives to Contextpulse →Install in Claude Desktop Install in Cursor Install in VS Code

Contextpulse

desktop-contextscreen-capturespeech-to-textactivity-trackingsemantic-memory

Local desktop MCP daemon for screen, voice, clipboard, input activity, project context, and semantic memory.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "contextpulse-contextpulse": {
      "command": "uvx",
      "args": [
        "contextpulse-memory"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Inspect the current screen and extract visible text

Search recent screen, clipboard, voice, and input activity

Review work history and identify the active project

Retrieve or store project-specific semantic memories

Capture local voice dictation and transcription history

Key features

Screen capture with native-resolution OCR

Local Whisper voice transcription

Keyboard, mouse, and clipboard activity tracking

Activity and cross-modal full-text search

Project detection and PROJECT_CONTEXT.md retrieval

Hybrid and vector semantic memory search

Capabilities & Tool Schemas (31)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Contextpulse.

get_screenshot

Capture screen (active monitor, all monitors, or a region)

get_recent

Recent frames from the rolling buffer (with diff filtering)

get_screen_text

OCR the current screen at native resolution

get_monitor_summary

Lightweight text summary of all monitors (low token cost)

get_buffer_status

Daemon health check + buffer stats

get_activity_summary

App usage breakdown over last N hours

Documentation Overview

ContextPulse

Local-first ambient context for AI agents.
Screen capture, voice dictation, clipboard, keyboard/mouse activity. All local, all private.

Developer Preview (v0.1-alpha). ContextPulse is under active development. APIs and configuration may change between releases. Report issues.

Everything stays local. No cloud. No telemetry. Your data never leaves your machine.

Code

┌─────────────────────────────────────────────────┐
│              ContextPulse Daemon                 │
│                                                  │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐      │
│  │  Sight   │  │  Voice   │  │  Touch   │      │
│  │ Screen   │  │ Dictate  │  │ Keys +   │      │
│  │ OCR      │  │ Whisper  │  │ Mouse    │      │
│  │ Clipboard│  │ Vocab    │  │ Bursts   │      │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘      │
│       └──────────────┼──────────────┘            │
│                      ▼                           │
│              ┌──────────────┐                    │
│              │  EventBus    │                    │
│              │  (Spine)     │                    │
│              └──────┬───────┘                    │
│                     ▼                            │
│              ┌──────────────┐                    │
│              │ activity.db  │                    │
│              │ SQLite+FTS5  │                    │
│              └──────────────┘                    │
└────────────────────┬────────────────────────────┘
                     │ MCP (streamable-http :8420)
        ┌────────────┼────────────┐
        ▼            ▼            ▼
   Claude Code    Cursor      Any MCP
                              Client

Quick Demo

server.ts

> You: "What am I looking at right now?"

Claude calls get_screenshot → get_screen_text:

  Active window: VS Code, src/auth/middleware.ts
  OCR text: "export async function validateToken(req: Request)..."
  Clipboard: "Bearer eyJhbGciOiJIUzI1NiIs..."

> Claude: "You're editing the auth middleware in VS Code.
>          I can see the validateToken function, and you have
>          a Bearer token in your clipboard. Want me to help
>          debug the token validation?"

Code

> You hold Ctrl+Space and say: "refactor this to use the new auth provider"

ContextPulse Voice transcribes → pastes into editor
Claude calls get_recent_transcriptions → get_screen_text:

> Claude: "I can see your dictation and the current file.
>          Here's the refactored middleware using AuthProvider..."

Code

> You: "What was I working on before lunch?"

Claude calls get_activity_summary(hours=4) → search_history("auth"):

  10:15 AM  VS Code, auth/middleware.ts (45 min)
  11:00 AM  Chrome, JWT.io (12 min)
  11:15 AM  VS Code, auth/tests/test_middleware.py (30 min)
  11:45 AM  Slack, #backend channel (15 min)

> Claude: "You spent the morning on auth middleware: writing
>          the implementation, checking JWT specs, then adding
>          tests. You were in Slack #backend right before lunch."

Why ContextPulse?

AI coding assistants are powerful but blind. They can't see your screen, hear your voice notes, or know what you were just doing. ContextPulse bridges this gap:

Local-first, zero cloud dependency. Your screen, voice, and input data never leave your machine. No accounts, no subscriptions, no third-party servers. Privacy by architecture, not by policy.
MCP-native from day one. ContextPulse exposes all context as MCP tools. Any MCP client (Claude Desktop, Cursor, Windsurf, VS Code) gets full context without custom integrations.
True multi-modal in a single daemon. Screen capture, voice dictation, keyboard/mouse input, and semantic memory run in one lightweight process (<1% CPU). No stitching multiple tools together.
Open source (AGPL-3.0). Fully auditable, self-hostable, and extensible. No vendor lock-in, no SaaS dependency, no risk of acquisition-driven shutdowns.

What Makes ContextPulse Different

Capability	ContextPulse	Typically Available?
Screen capture + OCR	Yes, native resolution	Common
Voice dictation	Yes, local Whisper	Rare as integrated feature
Keyboard + mouse tracking	Yes	Rare
Semantic memory	Yes, three-tier with hybrid search	Rare
All modalities in one daemon	Yes, single lightweight process	No, usually separate tools
MCP-native	Yes, 35 tools	Emerging
100% local, zero cloud	Yes, privacy by architecture	Uncommon
Open source	AGPL-3.0	Varies

Platform Support

Platform	Status
Windows 10+	Full support
macOS 13+ (Apple Silicon and Intel)	Full support
Linux	Community contributions welcome -- core abstractions are in place, platform modules need implementation

Installation

bash

git clone https://github.com/ContextPulse/contextpulse
cd contextpulse
# Windows
pip install -e packages/core -e packages/screen -e packages/voice -e packages/touch -e packages/project

# macOS — the [macos] extras are REQUIRED, not optional niceties. They pull in
# pyobjc (clipboard, window, caret, session monitor), rumps (menu bar) and
# mlx-whisper (Apple Silicon transcription). Without them the install succeeds
# and then fails at runtime.
pip install -e "packages/core[macos]" -e "packages/screen[macos]" -e "packages/voice[macos]" \
            -e packages/touch -e packages/project

# Optional: persistent memory + semantic search
pip install -e packages/memory

Configure your AI agent and install companion skills:

bash

contextpulse --setup claude-code   # configures MCP + installs skills
# or: contextpulse --setup gemini  # for Gemini CLI
# or: contextpulse --setup all     # both

Start ContextPulse:

bash

contextpulse       # starts the background daemon
contextpulse-mcp   # starts the MCP server on port 8420

That's it. Your AI agent now has tools for reading your screen, voice, activity, and memory.

Manual MCP configuration (if not using --setup)

Add to ~/.claude.json:

config.json

{
  "mcpServers": {
    "contextpulse": {
      "type": "http",
      "url": "http://127.0.0.1:8420/mcp"
    }
  }
}

MCP Tools

Sight (11 free tools)

Tool	What it does
`get_screenshot`	Capture screen (active monitor, all monitors, or a region)
`get_recent`	Recent frames from the rolling buffer (with diff filtering)
`get_screen_text`	OCR the current screen at native resolution
`get_monitor_summary`	Lightweight text summary of all monitors (low token cost)
`get_buffer_status`	Daemon health check + buffer stats
`get_activity_summary`	App usage breakdown over last N hours
`search_history`	Full-text search across window titles + OCR text
`get_context_at`	Frame + metadata from N minutes ago
`get_clipboard_history`	Recent clipboard entries
`search_clipboard`	Search clipboard by text content
`get_agent_stats`	Which MCP clients are consuming context, and how often

Voice (3 free tools)

Tool	What it does
`get_recent_transcriptions`	Recent voice dictation history (raw + cleaned)
`get_voice_stats`	Dictation count, duration, accuracy stats
`get_vocabulary`	Current word correction entries

Touch (3 free tools)

Tool	What it does
`get_recent_touch_events`	Typing bursts, clicks, scrolls, drags
`get_touch_stats`	Keystroke count, WPM, click/scroll totals
`get_correction_history`	Voice-to-typing correction detections

Project (5 free tools)

Tool	What it does
`identify_project`	Score text against all projects, return best match
`get_active_project`	Detect current project from CWD or window title
`list_projects`	All indexed projects with overviews
`get_project_context`	Full PROJECT_CONTEXT.md for a project
`route_to_journal`	Route an insight to the project journal

Memory (5 free + 2 Pro tools)

Basic memory is free forever. No license required.

Tool	Tier	What it does
`memory_store`	Free	Store a key-value memory with optional tags and TTL
`memory_recall`	Free	Retrieve a memory by exact key
`memory_list`	Free	List memories, optionally filtered by tag
`memory_forget`	Free	Delete a memory by key
`memory_stats`	Free	Storage statistics (entry counts, DB sizes, tiers)
`memory_search`	Pro	Hybrid/keyword/semantic search across all stored memories
`memory_semantic_search`	Pro	Pure vector search using all-MiniLM-L6-v2 embeddings

Memory uses a 3-tier hot/warm/cold architecture: in-memory LRU cache → SQLite WAL + FTS5 → compressed archive. The optional pip install contextpulse-memory package ships these tools.

Pro (4 tools, requires license or 30-day trial)

Read the full README →View source on GitHub →

Related MCP Servers

View all in Workplace & Productivity View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Contextpulse

It runs as a local desktop daemon with full support listed for Windows 10+ and macOS 13+ on Apple Silicon or Intel.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/contextpulse-contextpulse?style=directory)](https://allmcps.com/mcp/contextpulse-contextpulse)

HTML Embed

<a href="https://allmcps.com/mcp/contextpulse-contextpulse"><img src="https://allmcps.com/api/badge/contextpulse-contextpulse?style=directory" alt="Contextpulse on AllMCPs" /></a>

Technical Specs & Signals

CategoryWorkplace & Productivity

PricingFree

11/11 checks healthy over the last 34d

57Quality signal: Good · 57/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools29/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · contextpulse-memory (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🏢 Workplace & Productivity →Best MCP servers for Workplace & Productivity →Alternatives to Contextpulse →Install in Claude Desktop Install in Cursor Install in VS Code