Velixar MCP Server

The first cognitive memory server for AI assistants. Not a vector database wrapper — a full reasoning layer that gives your AI persistent memory, a knowledge graph, identity awareness, contradiction detection, and belief tracking across every session.

Works with any Model Context Protocol client: Claude Desktop, Kiro, Cursor, Windsurf, Continue.dev, or custom hosts.

Why This Exists

Every AI assistant starts from zero every conversation. Velixar fixes that — but not by just storing and retrieving text. The MCP server gives your assistant the ability to:

• Orient itself in a workspace with a single call — no manual context assembly
• Track how beliefs evolve over time and surface when they contradict
• Build and traverse a knowledge graph of entities and relationships it discovers
• Maintain a persistent identity model of who you are, what you prefer, and how you work
• Distill sessions into durable memories automatically, with deduplication
• Import and export your entire memory corpus for backup or migration

25 tools. 5 live resources. 16 workflow prompts. One npm install.

Quick Start

npm install -g velixar-mcp-server

Get an API key at velixarai.com/settings/api-keys, then add to your MCP client:

{
  "mcpServers": {
    "velixar": {
      "command": "velixar-mcp-server",
      "env": {
        "VELIXAR_API_KEY": "vlx_your_key_here"
      }
    }
  }
}

Restart your assistant. Done.

Tool Surface

Memory

Tool	What it does
velixar_store	Store a memory with tags, tier, and type
velixar_search	Semantic search across all memories
velixar_list	Browse with pagination and filtering
velixar_update	Edit content or tags on an existing memory
velixar_delete	Remove a memory

Cognitive

Tool	What it does
velixar_context	Synthesized workspace briefing — orientation in one call
velixar_identity	Get, store, or update the user's profile, preferences, and expertise
velixar_contradictions	Surface conflicting facts or beliefs with resolution guidance
velixar_timeline	How a topic or belief evolved over time
velixar_patterns	Recurring problem/solution motifs across your history
velixar_inspect	Deep inspection of a specific memory with full provenance chain
velixar_graph_traverse	Walk entity relationships — "what connects to X?"
velixar_distill	Extract durable memories from session content with deduplication

Lifecycle

Tool	What it does
velixar_session_save	Save a session summary for later recall
velixar_session_recall	Restore context from a previous session
velixar_batch_store	Store up to 20 memories in one call
velixar_batch_search	Run up to 10 search queries simultaneously
velixar_consolidate	Merge related memories into a single durable memory
velixar_retag	Bulk update tags across memories
velixar_export	Export memories as JSON or Markdown, optionally with graph data
velixar_import	Bulk import from JSON, Markdown, Notion, or Obsidian exports

System

Tool	What it does
velixar_health	Backend connectivity, latency, workspace status
velixar_debug	Cache state, circuit breaker, API timings
velixar_capabilities	Feature list, tool inventory, resource URIs
velixar_security	Get or set content scanning mode

Live Resources

Resources are injected into your assistant's context automatically — no tool call needed.

Resource	What it provides

... View full README on GitHub