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  1. Home
  2. 🧠 Knowledge & Memory
  3. Velixar MCP Server
Velixar MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 1:01:10 AM

Velixar MCP Server

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Persistent memory for AI assistants. Store, search, and recall across sessions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "memory-6": {
      "command": "uvx",
      "args": [
        "velixar"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (25) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Capabilities & Tool Schemas (25) ~388 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Velixar MCP Server.

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 β€” orientation in one call

Documentation Overview

Velixar MCP Server

npm License

The first cognitive memory server for AI assistants. Not a vector database wrapper β€” 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 β€” 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 β€” 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

40 tools. 5 live resources. 19 workflow prompts. One npm install.

Quick Start

Terminal
npm install -g velixar-mcp-server

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

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

Restart your assistant. Done.

Tool Surface

Memory

ToolWhat it does
velixar_storeStore a memory with tags, tier, and type
velixar_searchSemantic search across all memories
velixar_listBrowse with pagination and filtering
velixar_updateEdit content or tags on an existing memory
velixar_deleteRemove a memory

Cognitive

ToolWhat it does
velixar_contextSynthesized workspace briefing β€” orientation in one call
velixar_identityGet, store, or update the user's profile, preferences, and expertise
velixar_contradictionsSurface conflicting facts or beliefs with resolution guidance
velixar_timelineHow a topic or belief evolved over time
velixar_patternsRecurring problem/solution motifs across your history
velixar_inspectDeep inspection of a specific memory with full provenance chain
velixar_graph_traverseWalk entity relationships β€” "what connects to X?"
velixar_distillExtract durable memories from session content with deduplication

Lifecycle

ToolWhat it does
velixar_session_saveSave a session summary for later recall
velixar_session_recallRestore context from a previous session
velixar_batch_storeStore up to 20 memories in one call
velixar_batch_searchRun up to 10 search queries simultaneously
velixar_consolidateMerge related memories into a single durable memory
velixar_retagBulk update tags across memories
velixar_exportExport memories as JSON or Markdown, optionally with graph data
velixar_importBulk import from JSON, Markdown, Notion, or Obsidian exports

System

ToolWhat it does
velixar_healthBackend connectivity, latency, workspace status
velixar_debugCache state, circuit breaker, API timings
velixar_capabilitiesFeature list, tool inventory, resource URIs
velixar_securityGet or set content scanning mode

Live Resources

Resources are injected into your assistant's context automatically β€” no tool call needed.

ResourceWhat it provides
velixar://system/constitutionBehavioral rules and cognitive modes for the assistant
velixar://identity/currentYour persistent user profile
velixar://memories/recentMost recent memories (compact)
velixar://memories/relevantContextually relevant memories based on current activity
velixar://domains/{domain}/shadow_graphKnowledge graph view for a specific domain

Workflow Prompts

16 built-in prompts that guide multi-step reasoning workflows:

  • Orientation β€” recall prior reasoning, build project context, profile an entity, orient-then-narrow
  • Conflict β€” resolve contradictions, identify knowledge gaps
  • Continuity β€” trace belief evolution, resume sessions, reconstruct decision paths
  • Lifecycle β€” distill sessions, consolidate topic memory, retag recent memories
  • Identity β€” summarize user identity, detect preference shifts, align response style
  • Enterprise β€” evaluate enterprise fit for a domain

Workspace Isolation

Memories are scoped to workspaces. Your personal project never bleeds into work.

PrioritySourceHow
1VELIXAR_WORKSPACE_ID env varExplicit
2.velixar.json in project root{ "workspace_id": "my-project" }
3Git root directory nameAutomatic

Host Compatibility

HostToolsResourcesPrompts
Kiro CLIβœ…βœ…βœ…
Claude Desktopβœ…βœ…βœ…
Cursorβœ…βš οΈβ€”
Windsurfβœ…βš οΈβ€”
Continue.devβœ…βœ…βœ…

When a host doesn't support resources or prompts, the server degrades gracefully β€” all tools still work independently.

Environment Variables

VariableRequiredDescription
VELIXAR_API_KEYYesYour API key (starts with vlx_)
VELIXAR_WORKSPACE_IDNoExplicit workspace scope
VELIXAR_API_URLNoCustom API endpoint
VELIXAR_USER_IDNoExplicit end-user identity. Leave unset (recommended): the API derives scope from your key β€” you see your own memories, same as the dashboard. Set it only when one key serves multiple named end users
VELIXAR_DEBUGNotrue for verbose logging
VELIXAR_LOG_FORMATNojson for structured Datadog/CloudWatch logging
VELIXAR_HEALTH_PORTNoPort for HTTP health check endpoint

Reliability

  • Automatic retry with exponential backoff (3 attempts)
  • Circuit breaker β€” opens after sustained failures, auto-recovers
  • Cache fallback β€” serves stale data during outages rather than failing
  • Structured logging compatible with Datadog and CloudWatch

SDKs

Use Velixar directly from code:

  • JavaScript/TypeScript: npm install velixar β€” docs
  • Python: pip install velixar β€” docs

CI/CD Integration

  • GitHub Actions: velixar-memory-sync β€” distill PR merges into memories
  • GitHub Actions: velixar-decision-capture β€” store issue resolutions as decisions
  • Webhook: POST /webhook/ci β€” generic CI event ingestion

License

MIT

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
25
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Velixar MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "velixar-mcp-server": { "command": "uvx", "args": ["velixar"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 22, 2026
11/12 checks healthy over the last 45d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 22, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev Β· velixar (PyPI)

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