ContextPulse
OfficialRelated Servers
Alternatives to ContextPulse
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to search and retrieve memories from your Mac, including screen captures, meeting transcripts, and browsing history, all locally and privately.1-
- AlicenseNot gradedqualityCmaintenanceLocal-first ambient memory for Mac that captures screen content, indexes it on-device, and provides MCP tools for searching memory, timeline, and open tasks.MIT

Pastea MCPofficial
AlicenseAqualityAmaintenanceGives AI assistants local access to a Mac's clipboard history, letting them search past clips and lists, read a clip in full (including text recognized inside screenshots), and place a clip back on the system clipboard for the user to paste. Everything runs over 127.0.0.1 with explicit user approval, and assistants cannot delete clips or see items concealed by password managers.121 npmMIT- FlicenseAqualityAmaintenanceRuns locally on your Mac to give AI agents a shared, private memory of your profile, notes, projects, and saved web pages, with semantic search and version history.28-
- AlicenseNot gradedqualityAmaintenanceA local autonomous AI agent that watches your screen, understands the visual layout, and executes native OS commands (clicking, typing) without cloud APIs.32MIT
- AlicenseAqualityAmaintenanceA macOS utility that captures screenshots and analyzes them with AI vision, enabling AI assistants to see and interpret what's on your screen.32,681 npm5,335MIT
TDQS
Scored across 36 tools
Every tool has a clearly distinct purpose with no ambiguity. Tools like get_screen_text, get_screenshot, get_recent, and get_context_at are well-delineated in their descriptions, and memory operations are separated by exact, substring, and semantic search. The tool set is well-organized and logically partitioned.
All tool names follow a consistent snake_case convention with predictable verb_noun patterns (e.g., get_activity_summary, add_to_vocabulary, search_history). The naming is uniform and intuitive, facilitating easy understanding of each tool's function.
With 36 tools, the count is relatively high, but the server's scope is broad, covering screen capture, OCR, voice transcription, clipboard, memory, project context, activity tracking, and more. Each tool serves a specific need, and the descriptions justify their inclusion. The count is slightly above what is typically considered ideal, but it is still well-scoped and not excessive.
The tool set provides comprehensive coverage of the ContextPulse domain, including capture, recall, search, statistics, vocabulary management, memory operations, project context, and activity summaries. All major functionality is exposed, and there are no obvious gaps. The design intentionally avoids destructive operations like clear-all, which is a deliberate choice.