Novyx MCP Server

1

Add it to Claude Code

Run this in a terminal.

Run in terminal
claude mcp add novyx-mcp -- uvx novyx-mcp
README.md

Persistent memory for AI agents with rollback, audit trails, and semantic search

Novyx MCP — Desktop Extension

Desktop Extension (.mcpb) for Claude Desktop. One-click install for persistent AI agent memory with rollback, audit trails, and semantic search.

Features

  • Persistent Memory — Store and recall memories with semantic search
  • Time-Travel Rollback — Undo mistakes by rewinding to any point in time
  • Audit Trails — Cryptographic proof of every memory operation
  • Knowledge Graph — Link memories with subject-predicate-object triples
  • Context Spaces — Isolated memory scopes for different projects
  • Local-First — Works instantly with SQLite, no API key needed
  • Cloud Upgrade — Optional cloud sync, team sharing, and advanced features

23 tools, 6 resources, 3 prompts.

Installation

From the Anthropic Directory (recommended):

Install directly from Claude Desktop → Settings → Extensions.

Manual install:

  1. Download the latest .mcpb file from Releases
  2. Double-click the file, or drag it into Claude Desktop

Prerequisites: Python 3.10+ must be installed. The extension automatically installs novyx-mcp via uvx or uses an existing pip install novyx-mcp.

Configuration

No configuration required for local mode. The extension works out of the box with a local SQLite database.

Optional — Cloud mode:

When prompted during installation, enter your Novyx API key. Get a free key at novyxlabs.com (5,000 memories, no credit card).

Cloud mode enables:

  • Cross-device memory sync
  • RSA-signed audit trails
  • Team sharing and context spaces
  • Replay and cortex features

Usage Examples

Example 1: Store and recall memories

User prompt:

Remember that the project deadline is March 15th and we're using React with TypeScript.

What happens: Claude calls the remember tool to store two tagged memories. Later:

What tech stack are we using for this project?

What happens: Claude calls recall with a semantic search, finds the stored memory about React + TypeScript, and answers accurately.

Example 2: Roll back a mistake

User prompt:

I accidentally told you the deadline was March 15th — it's actually April 1st. Roll back the wrong memory and fix it.

What happens: Claude calls rollback to undo the incorrect memory, then remember to store the corrected date. The audit trail shows the full history: original store → rollback → corrected store.

Example 3: Build a knowledge graph

User prompt:

Track these relationships: Alice manages the frontend team, Bob manages the backend team, and both teams report to Carol.

What happens: Claude calls triple three times to create knowledge graph entries:

  • Alice → manages → frontend team
  • Bob → manages → backend team
  • frontend team, backend team → reports_to → Carol

Later, asking "Who does the frontend team report to?" triggers a triples query that returns the answer.

Example 4: Isolated project contexts

User prompt:

Create a separate memory space for my side project so it doesn't mix with work memories.

What happens: Claude calls create_space to create an isolated context. Memories stored in that space are scoped and don't appear in general searches.

Privacy Policy

Novyx MCP operates in two modes:

Local mode (default): All data is stored locally in a SQLite database at ~/.novyx/local.db. No data is sent to any external server. No analytics or telemetry.

Cloud mode (opt-in): When you provide an API key, memories are sent to the Novyx API (novyx-ram-api.fly.dev) for storage and sync. Data is encrypted in transit (TLS) and at rest. We do not share your data with third parties. See our full privacy policy at novyxlabs.com/privacy.

You can switch between modes at any time by adding or removing your API key.

Data retention: Local data persists until you delete it. Cloud data is retained until you delete it or close your account. Audit trails are immutable by design.

For privacy questions, contact blake@novyxlabs.com.

Support

How It Works

This Desktop Extension is a thin Node.js wrapper that spawns the Python novyx-mcp server as a child process. The Node.js layer handles process lifecycle; the Python server handles all MCP logic.

Launch order:

  1. uvx novyx-mcp (fastest — no install needed)
  2. python3 -m novyx_mcp (if pip installed)
  3. novyx-mcp (if pipx installed)

License

MIT

Tools (5)

rememberStores a memory with semantic search capabilities.
recallPerforms a semantic search to retrieve stored memories.
rollbackUndoes a memory operation by rewinding to a previous state.
tripleCreates a knowledge graph entry using subject-predicate-object triples.
create_spaceCreates an isolated memory context space.

Environment Variables

NOVYX_API_KEYAPI key for cloud mode features like sync and team sharing

Configuration

claude_desktop_config.json
{ "mcpServers": { "novyx": { "command": "uvx", "args": ["novyx-mcp"], "env": { "NOVYX_API_KEY": "your_api_key_here" } } } }

Try it

Remember that the project deadline is March 15th and we're using React with TypeScript.
What tech stack are we using for this project?
I accidentally told you the deadline was March 15th — it's actually April 1st. Roll back the wrong memory and fix it.
Track these relationships: Alice manages the frontend team, Bob manages the backend team, and both teams report to Carol.
Create a separate memory space for my side project so it doesn't mix with work memories.

Frequently Asked Questions

What are the key features of Novyx MCP?

Persistent memory storage with semantic search capabilities. Time-travel rollback to undo memory operations. Cryptographic audit trails for memory history. Knowledge graph construction using subject-predicate-object triples. Isolated context spaces for project-specific memory management.

What can I use Novyx MCP for?

Maintaining long-term project context across multiple Claude sessions. Tracking complex organizational relationships and hierarchies in a knowledge graph. Managing separate memory environments for work and personal projects. Auditing AI decision-making history for accuracy and accountability.

How do I install Novyx MCP?

Install Novyx MCP by running: Download .mcpb file from GitHub Releases and drag into Claude Desktop

What MCP clients work with Novyx MCP?

Novyx MCP works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep Novyx MCP docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare