MCP server for Velixar persistent cognitive context — memory, identity, graph, time, and contradiction for LLMs
MCP server for Velixar persistent cognitive context — memory, identity, graph, time, and contradiction for LLMs
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.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| 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 |
| 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 |
| 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 |
| 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 |
{
"mcpServers": {
"velixar": {
"command": "velixar-mcp-server",
"env": {
"VELIXAR_API_KEY": "YOUR_VELIXAR_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| VELIXAR_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Arca is a private data vault where your AI stores your structured data, semantic memory and skills.
Read and write to a Pinecone index.
MCP server for TouchDesigner
Voice notes that organize themselves. Capture by Siri, AI auto-tags, semantic search retrieves.