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Lumi vs MCP Bridge by Appfactor
Connects any API to any AI agent, while Lumi stores and retrieves user-generated context across chats.
LumiYour AI finally remembers you. No more starting from zero.Side by side
- What it is
- Lumi:Lumi adds persistent, searchable memory to Claude, ChatGPT and Gemini so AI remembers your context across sessions.
- MCP Bridge by Appfactor:MCP Bridge auto-generates Model Context Protocol tool definitions from any REST, GraphQL, SOAP or gRPC API and runs as a self-hosted Docker service.
- Best for
- Lumi:Persistent memory layer for LLMs
- MCP Bridge by Appfactor:Auto-generated MCP tools for LLM agents
- Who it’s for
- Lumi:Developers and AI enthusiasts who use LLMs and need cross-chat context.
- MCP Bridge by Appfactor:Platform engineers, AI engineers, and enterprises building AI agents that need API access.
- Pricing
- Lumi:Freemium
- MCP Bridge by Appfactor:Freemium
- Works with
- Lumi:Claude, ChatGPT, Gemini
- MCP Bridge by Appfactor:OpenAI, Claude, Gemini, Docker, AWS ECS, Azure Container Apps
- DevHunt upvotes
- Lumi:1
- MCP Bridge by Appfactor:8
- Launched on DevHunt
- Lumi:May 2026
- MCP Bridge by Appfactor:May 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.
MCP Bridge by Appfactor features
- Schema-driven tool generation. Imports OpenAPI, GraphQL, WSDL or .proto schemas and creates fully typed MCP tools automatically.
- Self-hosted deployment. Runs in a Docker container on any orchestrator (AWS ECS, Azure Container Apps, etc.) with zero SaaS dependencies.
- Code Mode token optimization. Reduces context window usage by ~98% using three meta-tools instead of hundreds of individual definitions.
- Enterprise auth & rate limiting. Supports Bearer, Basic, API Key, OAuth2, AWS Cognito SRP and configurable token bucket limits.
- Observability dashboard. Provides latency, throughput, token usage and error metrics via OpenTelemetry integration.
- Semantic tool search. Hybrid full-text, fuzzy and optional vector similarity search for quick tool discovery.
Based on each tool's website and DevHunt data. Details may change; check the official sites.