Iwsdk RAG MCP
Semantic code search and API reference for Immersive Web SDK using RAG with vector embeddings
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Iwsdk RAG MCP?
Provides semantic code search and API reference for the Immersive Web SDK, leveraging Retrieval-Augmented Generation (RAG) techniques with vector embeddings to enhance developer productivity.
Key differentiator
“The only self-hosted library providing RAG-based semantic code search and API reference specifically tailored to the Immersive Web SDK, offering developers an efficient way to navigate and utilize the SDK's extensive features.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Currently only supports basic integration with VSCode, lacks support for JetBrains or Eclipse
Search performance degrades significantly in projects exceeding 10k lines of code
Fit analysis
Who is it for?
✓ Best for
Developers building immersive web applications with the Immersive Web SDK who need quick access to API references and documentation
Teams working on complex projects where efficient code navigation is critical for productivity
✕ Not a fit for
Projects that do not use or require the Immersive Web SDK
Developers looking for a general-purpose semantic search tool across multiple frameworks
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Iwsdk RAG MCP
Step-by-step setup guide with code examples and common gotchas.