Provides structured, provenance-backed context for Shopify applications by ingesting and analyzing data from app listings, websites, and help centers into a graph-based memory system.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ContextBuilder (ctx)get the starter context for the Notify Me! app"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ContextBuilder (ctx)
Context-as-a-Service MCP server for Hengam's multi-agent system. Maintains app-isolated, structured, provenance-backed context for Shopify apps and delivers "just enough context" to other agents.
Features
App-scoped context: Isolated context for 4 Shopify apps (Notify Me!, Subi, Discounty, Convi)
Agentic Graph Memory: Graph-based retrieval with multi-hop traversal, not just vector search
Hybrid delivery: Push starter context bundles + Pull targeted context slices
Observation Masking: Budget-aware compression with full transparency on what was included/excluded
Provenance tracking: Every statement traceable to source URL + snapshot timestamp + content hash
Configurable LLM: Provider-agnostic (OpenAI, Anthropic, Gemini) with editable prompt templates
Schema-validated: All data objects validated with Zod at boundaries
Quick Start
# Install dependencies
pnpm install
# Set up LLM API key (at least one required for refresh)
export OPENAI_API_KEY=sk-...
# or
export ANTHROPIC_API_KEY=sk-ant-...
# Run the MCP server
pnpm dev
# Run tests
pnpm testMCP Tools
Tool | Description |
| Refresh and rebuild context for an app |
| Push compact starter context bundle |
| Pull targeted context slice by intent |
| Get app state summary + refresh status |
| Get provenance for a bundle/slice |
Architecture
Ingestion → Extraction → Graph → Delivery
fetch summarize build push/pull
parse extract traverse mask
snapshot score validate provenancePipeline Flow
Ingestion: Fetch public web sources (listing, website, help center), parse HTML, create snapshots with content hashes
Extraction: LLM-powered structuring — summarize pages, extract concepts/procedures, score observations, detect conflicts
Graph: Build context graph with nodes (features, procedures, constraints, FAQs, entities) and typed edges (explains, depends_on, resolves, etc.)
Delivery: Serve context via push (starter bundles) or pull (targeted slices) with observation masking and provenance
Configuration
All configuration is in config/:
apps.yaml— App source URLs and crawl settingsmodel-profiles.yaml— LLM provider configs (model, temperature, rate limits)settings.yaml— Task bindings, budgets, masking thresholds, graph settingsprompt-templates/*.hbs— Handlebars templates for all 8 LLM tasks
Supported Apps (MVP)
App | Listing | Website | Help Center |
Notify Me! | apps.shopify.com | notify-me.io | help.notify-me.io |
Subi | apps.shopify.com | subi.co | help.subi.co |
Discounty | apps.shopify.com | discounty.ai | help.discounty.ai |
Convi | apps.shopify.com | conviapp.com | help.conviapp.com |
Development
pnpm build # Compile TypeScript
pnpm dev # Run with tsx (dev mode)
pnpm test # Run all tests
pnpm test:unit # Run unit tests only
pnpm test:contract # Run MCP contract tests
pnpm lint # Type checkRequirements Coverage
Implements REQ-CTX-1 through REQ-CTX-38 from the ContextBuilder agent repository spec. See CLAUDE.md for architecture details.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.