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Context Portal MCP (ConPort)

@GreatScottyMac

代码仓库

基本信息

分类

记忆与知识

许可证

Apache-2.0

传输方式

stdio

作者

GreatScottyMac

关于 Context Portal MCP

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

Context Portal MCP 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "context-portal": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Context Portal MCP 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Context Portal MCP (ConPort)?

Context Portal MCP (ConPort) is a database-backed Model Context Protocol server that functions as a project's "memory bank" for AI assistants. It stores structured project context—such as decisions, tasks, and architectural patterns—in a SQLite database, enabling AI to retrieve relevant information via semantic search (vector embeddings) and power Retrieval Augmented Generation (RAG). It is designed for developer tools and IDEs that support MCP.

How to use Context Portal MCP (ConPort)?

Install via uvx (recommended) by adding a configuration entry to your MCP client settings (e.g., mcp_settings.json) with the command uvx and arguments including conport-mcp with --mode stdio and --workspace_id. Alternatively, clone the repository, create a virtual environment with uv venv, install dependencies, and run via uv run. Use one of the provided custom instruction strategy files (for Roo Code, Cline, Windsurf, or generic) to guide your LLM agent on how to use ConPort tools.

Key features of Context Portal MCP (ConPort)

  • SQLite-backed structured context storage (one database per workspace)
  • Multi-workspace support via workspace_id parameter
  • Vector embeddings for semantic search and RAG capabilities
  • Project knowledge graph with explicit relationships between context items
  • Runs in STDIO mode for tight IDE integration
  • Includes Alembic migrations for seamless schema updates

Use cases of Context Portal MCP (ConPort)

  • AI assistants maintaining persistent project memory across sessions
  • Developers storing and querying decisions, progress, and architectural designs
  • Enabling AI to answer questions using up-to-date, project-specific information
  • Building a knowledge base for sprint planning and retrospectives

评论

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