A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer
A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer tools within IDEs
Context Portal (ConPort) is your project's memory bank. It's a tool that helps AI assistants understand your specific software project better by storing important information like decisions, tasks, and architectural patterns in a structured way. Think of it as building a project-specific knowledge base that the AI can easily access and use to give you more accurate and helpful responses.
Before you begin, ensure you have the following installed: - Python: Version 3.8 or higher is recommended. - Download Python - Ensure Python is added to your system's PATH during installation (especially on Windows). - uv: (Highly Recommended) A fast Python environment and package manager. Using uv significantly simplifies virtual environment
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_product_context | Retrieves the overall project goals, features, and architecture. |
| update_product_context | Updates the product context. Accepts full content (object) or patch_content (object) for partial updates (use __DELETE__ as a value in patch to remove a key). |
| get_active_context | Retrieves the current working focus, recent changes, and open issues. |
| update_active_context | Updates the active context. Accepts full content (object) or patch_content (object) for partial updates (use __DELETE__ as a value in patch to remove a key). |
| log_decision | Logs an architectural or implementation decision. |
| get_decisions | Retrieves logged decisions. |
| search_decisions_fts | Full-text search across decision fields (summary, rationale, details, tags). |
| delete_decision_by_id | Deletes a decision by its ID. |
| log_progress | Logs a progress entry or task status. |
| get_progress | Retrieves progress entries. |
| update_progress | Updates an existing progress entry. |
| delete_progress_by_id | Deletes a progress entry by its ID. |
| log_system_pattern | Logs or updates a system/coding pattern. |
{
"mcpServers": {
"conport": {
"command": "uvx",
"args": [
"--from",
"context-portal-mcp",
"conport-mcp",
"--mode",
"stdio",
"--workspace_id",
"${workspaceFolder}",
"--log-file",
"./logs/conport.log",
"--log-level",
"INFO"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Before you begin, ensure you have the following installed: - Python: Version 3.8 or higher is recommended. - Download Python - Ensure Python is added to your system's PATH during installation (especially on Windows). - uv: (Highly Recommended) A fast Python environment and package manager. Using uv significantly simplifies virtual environment
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