Visual Memory MCP server
io.github.putervision/vision-memory-mcp·v1.4.2·92 starsLocal visual UI cache for AI agents using perceptual hashing, CLIP, and 3D spatial grounding.
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92 stars9.3k downloads/wk
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Visual Memory MCP tools
No tool declarations could be read from the package source. They show once the server is installed.
How Visual Memory MCP compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 94/100
- higher than 96% of 48,255 servers
- GitHub stars
- 92
- more than 95% of 28,688 servers
- Downloads a week
- 9,331
- more than 95% of 12,191 servers with a package
Release history: 6 versions in the registry since 2026-09-16, latest 2026-10-08, typically one every 3 days.
Install Visual Memory MCP in Claude Code, Cursor or VS Code
Runs npx -y @putervision/vision-memory-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add vision-memory-mcp -- npx -y @putervision/vision-memory-mcp
What the publisher says
From the Visual Memory MCP repository's README, as published. We do not edit it. Read it on GitHub
@putervision/vision-memory-mcp
@putervision/vision-memory-mcp is a zero-infrastructure, local-first Model Context Protocol (MCP) server and CLI tool that provides AI coding assistants (such as Cursor, Claude Code, Gemini, or Copilot) with visual state caching using perceptual hashing, local CLIP embeddings, and transition graphs to eliminate repetitive vision LLM calls.
🌐 Official Documentation & Website: visionmemorymcp.com
⚡ Quick Start & Installation
Prerequisites: Node.js >= 18.18.0
1. Installation
# Global installation via npm
npm install -g @putervision/vision-memory-mcp2. Workspace Initialization
Run init in your project root to scaffold database directories, .gitignore, .env, and IDE rules:
vision-memory-mcp init --yes3. Basic MCP Client Setup
Add to your MCP client config (e.g. .cursor/mcp.json or .vscode/mcp.json):
{
"mcpServers": {
"vision-memory-mcp": {
"command": "vision-memory-mcp",
"args": ["run"]
}
}
}Alternative Options & CLI Usage Examples
# Run stdio MCP server directly via binary (after global install)
vision-memory-mcp run
# Start server skipping heavy CLIP model downloads (air-gapped / offline mode)
vision-memory-mcp run --skip-model-load
# Re-initialize across all registered workspace projects
vision-memory-mcp init-global
# Health check dependencies, sharp bindings, and git safety
vision-memory-mcp doctor
# Run health diagnostics & aggregate metrics across all registered projects
vision-memory-mcp doctor-global
# Inspect stored visual states and metadata in terminal ASCII table
vision-memory-mcp inspect
# Register baseline design mockup contract (Visual SDD)
vision-memory-mcp spec set --name "Dashboard" --file ./dashboard-spec.png
# Save visual memory checkpoint snapshot
vision-memory-mcp snapshot save --name "v1.0-milestone"
# Ingest WebM / MP4 video recording into visual state memory timeline
vision-memory-mcp video ingest ./playwright-test.webm --category playwright_test
# Open interactive force-directed visual graph viewer in browser
vision-memory-mcp view🌟 Key Highlights
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Visual Memory MCP: common questions
- Is Visual Memory MCP server safe?
- Yes, by our scan: it is graded A (94/100). Read the Visual Memory MCP safety report
- How do I install Visual Memory MCP?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Visual Memory MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Visual Memory MCP maintained?
- The last commit was 32 days ago (2026-10-02). The latest release is v1.4.2.
- How does Visual Memory MCP compare with other MCP servers?
- safety score 94/100 (higher than 96% of 48,255 servers); github stars 92 (more than 95% of 28,688 servers); downloads a week 9,331 (more than 95% of 12,191 servers with a package). Full comparison.