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Lumi vs Unified MCP Server

Offers a generic MCP server with many integrations; Lumi is a specialized memory product for LLMs.

Side by side

What it is
Lumi:Lumi adds persistent, searchable memory to Claude, ChatGPT and Gemini so AI remembers your context across sessions.
Unified MCP Server:Unified MCP Server provides a real-time Model Context Protocol server that exposes authorized SaaS data as callable tools for LLMs.
Best for
Lumi:Persistent memory layer for LLMs
Unified MCP Server:Real-time SaaS data tools for LLM agents
Who it’s for
Lumi:Developers and AI enthusiasts who use LLMs and need cross-chat context.
Unified MCP Server:Developers building AI agents or AI-first applications that need live SaaS data.
Pricing
Lumi:Freemium
Unified MCP Server:Paid
Plans
Lumi:—
Unified MCP Server:Grow $750+/month per month · Pro $1,500+/month per month · Scale $3,000+/month per month
Open source
Lumi:—
Unified MCP Server:Yes, 1 GitHub stars
Works with
Lumi:Claude, ChatGPT, Gemini
Unified MCP Server:OpenAI, Anthropic, Google Gemini, Cohere, React, Vue, Angular, TypeScript
DevHunt upvotes
Lumi:1
Unified MCP Server:29
Launched on DevHunt
Lumi:May 2026
Unified MCP Server:Jan 2026

Lumi features

  • Cross-LLM Memory. Store and retrieve context across Claude, ChatGPT and Gemini from a single vault.
  • Semantic Search. AI-powered search finds relevant memories by meaning, not just keywords.
  • Vault Organization. Create vaults and collections with hierarchical control to structure memories.
  • Document Upload. Upload PDFs and docs for instant retrieval-augmented generation without setup.
  • End-to-End Encryption. AES-256 at rest, TLS 1.3 in transit, row-level isolation and 30-day backup deletion.
  • MCP OAuth Connect. Connect your tools in ~60 seconds via MCP token authentication.

Unified MCP Server features

  • Zero-storage architecture. Tool calls fetch data directly from source APIs; no data is cached or stored.
  • Authorization-first access. All tools require explicit customer authorization before they become callable.
  • Bi-directional actions. Agents can read and write data (e.g., update records) where the integration supports it.
  • Unified auth handling. OAuth, API-key flows, token refresh and optional embedded sign-in UI are provided out of the box.
  • Tool discovery controls. Scope available tools to fit model limits and reduce surface area.
  • SDKs & language support. Client SDKs for TypeScript, Python, PHP, Java, C#, Ruby, Go and UI components for React, Vue, Angular, JS.
  • Embedded security boundaries. Each connection defines isolated access, with read/write, object and action restrictions.
  • Virtual & native webhooks. Unlimited webhook subscriptions with virtual polling for systems lacking native webhooks.

Based on each tool's website and DevHunt data. Details may change; check the official sites.