Claude Code
Retrieve project requirements, decisions, and source evidence during planning and implementation.
Integrations
Developers and AI agents can retrieve the same requirements, architecture decisions, documentation, and project memory through MCP, REST API, CLI, and the Web portal.
Each client or application can use the existing retrieval layer instead of building and maintaining its own.
Coding tools
Give Claude Code, Codex, Cursor, Cline, OpenCode, and custom agents access to the same project-scoped context without locking knowledge inside one IDE or model.
Retrieve project requirements, decisions, and source evidence during planning and implementation.
Bring architecture rationale and project memory into repository work across sessions.
Use the same governed project context from an IDE-centered development workflow.
Connect agentic coding work to knowledge that lives beyond the repository.
Keep an open coding workflow grounded in the same project sources and decisions.
Use Streamable HTTP MCP or the REST API for internal engineering applications and approved automation.
Available interfaces
Connect compatible team AI clients over HTTPS with an MCP key that respects project access.
Add project-scoped search and optional AI Answer to internal applications, portals, automations, and custom AI services.
Manage users, projects, documents, live indexing, search, MCP setup, and observability from the browser.
Synchronize a selected repository, branch, and optional path into the standard project ingestion and retrieval pipeline.
Install focused retrieval guidance that helps compatible AI assistants query, scope, and inspect ContextHarbor evidence effectively.
Connect named embedding and OpenAI-compatible LLM providers only after an administrator enables and configures them.
Connection flow
Use the interface and credential model that fit the selected team workflow.
Choose the knowledge boundary the client or application should search.
Use an MCP API key or application credential with access to the required project.
Configure Remote MCP, call the REST API, or work through the Web portal.
Return relevant project passages with source information for inspection.
Integration principles
Connect clients and applications through the interface selected for the 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 the network controls required by your deployment.
Third-party compatibility depends on the interfaces and authentication methods supported by the selected client.
MCP tools
The server always advertises the core retrieval set and adds more groups when the deployment enables them — a full-tenant deployment exposes around forty tools in all.
query_documents, search_project_docs, read_chunk_neighbors, list_projects, get_project_brief, planning_context, requirement_lookup, status.get_project_structure, get_area_brief, get_knowledge_item, search_area for consolidated, source-cited briefs. Knowledge Briefs.setup_code_graph, code_context, code_impact, get_code_brief. Code Intelligence.GitHub connectors
Add a connector with a personal access token, pick a branch and optional path prefix, and Sync Now — synced files land in Files and are chunked, embedded, and searchable like uploads.

ContextHarbor
See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.
Pricing depends on deployment, integration, and support requirements.