Engineering knowledge

Bring project knowledge into the tools where engineering work happens

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

The repository contains code. The reasons often live elsewhere.

Architecture decisions, engineering standards, API specifications, platform guidance, runbooks, and previous delivery lessons frequently sit outside the current repository.

Project onboarding

Help new team members understand architecture, terminology, standards, and previous decisions.

Architecture discovery

Retrieve design documents and decision records while investigating an unfamiliar system.

Exact technical terms

Match API names, identifiers, class names, and error codes alongside semantic meaning.

Knowledge by project

Make reusable knowledge available only within the projects and memberships selected for each user.

Read beyond the matched passage

Expand a relevant result with the surrounding chunks when the immediate passage is not enough.

Remote MCP over HTTPS

Connect compatible team AI clients through the shared deployment using a project-aware MCP key.

Engineering workflow

Bring project context into the point of implementation.

  1. Ask from the development environment

    Submit a project-specific question from an MCP-compatible client or internal tool.

  2. Retrieve from the selected project

    Search only the configured ContextHarbor project and the sources available to that user.

  3. Match meaning and terminology

    Combine conceptual retrieval with API names, error codes, identifiers, and technical terms.

  4. Return relevant source material

    Supply project context with source information and retrieve neighboring passages when needed.

  5. Continue with informed implementation

    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?

Recover the decision, not only the implementation.

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

Use the same project-scoped knowledge from different engineering tools.

Connect through the interfaces supported by the selected tool and keep every request within the intended project.

Retrieve architecture knowledge from Cursor

Ask a project question and retrieve approved architecture context with source information.

Private demonstration available

Retrieve delivery standards from Cline

Request an implementation pattern from the selected engineering knowledge namespace.

Private demonstration available

Inspect the source in ContextHarbor

Review the project, retrieved passages, processing status, and original knowledge source.

Private demonstration available

ContextHarbor does not require a particular coding assistant and does not imply a partnership with third-party AI-tool vendors.

ContextHarbor

Discuss your team’s knowledge workflow.

See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.

Pricing depends on deployment, integration, and support requirements.