Helix Foundry
Server Details
Company context and memory for agents: typed ontology knowledge graph with cited answers
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over the last 24 hours
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
- ChatGPT
- –
- Claude
- –
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.
Persistent working memory for AI agents: a knowledge graph with semantic search and decay.
Long-term memory and a knowledge graph for AI agents: recall, notes, secrets and data sources.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Related MCP Servers
- AlicenseAqualityCmaintenanceLong-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.83MIT

xanther-context-engineofficial
AlicenseNot gradedqualityBmaintenanceGraph RAG based context management engine for coding agents2MIT- AlicenseNot gradedqualityDmaintenanceAn on-prem knowledge graph for AI agents that uses typed entities and relationships, enabling persistent memory and cross-agent handoff via the Model Context Protocol.8 npm1Apache 2.0
- AlicenseNot gradedqualityNot gradedmaintenanceEnables agents to build and query structured semantic graphs, extracting, traversing and multi-hop reasoning over entity-relation-object triples while producing Cypher and JSON-LD graph output. It also combines BM25 lexical and dense vector retrieval with rank fusion, semantic caching and context reordering for grounded agentic memory.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.