Model Context Protocol
Connect compatible AI clients to a selected ContextHarbor project through MCP.
Integrations
ContextHarbor exposes the same project-scoped knowledge through MCP, REST API, CLI, and Web UI.
Organizations can integrate knowledge into approved AI assistants, engineering workflows, internal portals, and custom applications without rebuilding retrieval for every use case.
Available interfaces
Connect compatible AI clients to a selected ContextHarbor project through MCP.
Use project-scoped retrieval from internal applications, portals, automations, and custom AI services.
Support technical users, development workflows, administration, testing, and controlled automation.
Manage projects, upload documents, monitor processing, search knowledge, and inspect retrieved context.
Enterprise applications
The REST API and MCP interfaces can support internal knowledge assistants, employee portals, support tools, engineering platforms, workflow automation, and agent orchestration.
45–60 seconds
Ask a project question and return the relevant architecture material with source information.
Private demonstration available45–60 seconds
Search the selected engineering project for approved implementation guidance.
Private demonstration available45–60 seconds
Integrate project-scoped knowledge into an existing employee or engineering experience.
Private demonstration availableIntegration principles
Connect clients and applications through interfaces reviewed for the intended workflow.
Select the relevant project rather than querying the full knowledge estate.
Keep retrieved material connected to the source available for inspection.
Keep integration credentials outside browser code and apply organizational network controls.
Third-party compatibility depends on the interfaces supported by the selected client. References to Cursor and Cline describe example workflows and do not imply a commercial partnership.
ContextHarbor
See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.
Pricing is available on request and depends on deployment, integration, support, and evaluation requirements.