Project onboarding
Help new team members understand architecture, terminology, standards, and previous decisions.
Engineering knowledge
Give AI assistants and internal applications access to architecture decisions, standards, runbooks, and technical documentation without connecting each tool directly to every source.
Teams retrieve the context available to their selected project through Remote MCP, REST API, or the Web portal.
The context problem
Architecture decisions, engineering standards, API specifications, platform guidance, runbooks, and previous delivery lessons frequently sit outside the current repository.
Help new team members understand architecture, terminology, standards, and previous decisions.
Retrieve design documents and decision records while investigating an unfamiliar system.
Match API names, identifiers, class names, and error codes alongside semantic meaning.
Make reusable knowledge available only within the projects and memberships selected for each user.
Expand a relevant result with the surrounding chunks when the immediate passage is not enough.
Connect compatible team AI clients through the shared deployment using a project-aware MCP key.
Engineering workflow
Submit a project-specific question from an MCP-compatible client or internal tool.
Search only the configured ContextHarbor project and the sources available to that user.
Combine conceptual retrieval with API names, error codes, identifiers, and technical terms.
Supply project context with source information and retrieve neighboring passages when needed.
Use the retrieved material while reviewing the source when the decision requires it.
Example question
Why does this service publish events instead of calling the downstream system directly?
ContextHarbor can retrieve the relevant architecture decision, integration standard, and operational constraints from the selected project knowledge.
The development assistant can use that context when explaining the design or proposing a change.
How teams use it
Connect through the interfaces supported by the selected tool and keep every request within the intended project.
Ask a project question and retrieve approved architecture context with source information.
Private demonstration availableRequest an implementation pattern from the selected engineering knowledge namespace.
Private demonstration availableReview the project, retrieved passages, processing status, and original knowledge source.
Private demonstration availableContextHarbor does not require a particular coding assistant and does not imply a partnership with third-party AI-tool vendors.
ContextHarbor
See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.
Pricing depends on deployment, integration, and support requirements.