Blekline
v0.3.0GitHub

Integrations

Contextual AI Stack

Blekline ingress governance with Contextual AI.

View as Markdown
LayerProductRole
L4BleklineMask, enforce tool policy, audit
L2Contextual AIFramework / retrieval

Wiring

  1. Add @blekline/mcp-server or @blekline/client to your agent pipeline
  2. Pattern: Mask queries before RAG pipeline
  3. Route tool calls through @blekline/mcp-proxy when agents invoke external tools

Flow: Agent → L4 Blekline → L2 Contextual AI → models / vector stores.

Security

  • Tool-arg governance — Block PII in embedding queries via MCP tool policy.
  • Tenant isolation — You manage Contextual AI credentials; Blekline does not store them.

See Contextual AI documentation.

Next steps: Frameworks hub · MCP proxy · TypeScript SDK · Open workspace