AI Skill Hub 强烈推荐:MCP代码图引擎 是一款优质的MCP工具。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
MCP代码图引擎 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
MCP代码图引擎 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/maxkle1nz/m1nd
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp-----": {
"command": "npx",
"args": ["-y", "m1nd"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 MCP代码图引擎 执行以下任务... Claude: [自动调用 MCP代码图引擎 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mcp_____": {
"command": "npx",
"args": ["-y", "m1nd"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src=".github/m1nd-logo.svg" alt="m1nd" width="340" /> </p>
( unset M1ND_RUNTIME_DIR M1ND_MCP_ARGS npx -y @maxkle1nz/m1nd@1.6.5 agent first-minute --repo . \ --binary "$M1ND_BINARY" --query "where is configuration loaded?" --json ) ```
first-minute discovers a covering served owner first. Otherwise, the matching wrapper/native runtime prepares only the exact launcher-granted repository in an external private cache. Source files remain inputs. Only when reusing the automatic isolated cache does the CLI refresh the declared root before retrieval. Attached-owner freshness follows the owner's own semantics; inspect that owner's version, repository binding, and freshness rather than inferring them from the selected client binary. Check runtime.boot, returned source locations, and gaps. This is not authority to create a shared brain, move a binding, or call generic ingest.
To connect an MCP host, follow the 1.6.5 quick start. Direct stdio needs an explicit workspace grant and an existing external private runtime; a shared owner has separate preparation and authority requirements. See agent autonomy.
You need Node.js 18+, an MCP host, and a repository. First install the signed native 1.6.3 artifact; that guide uses cosign and an exact release URL. The prebuilt 1.6.3 release covers Linux x86_64 and macOS x86_64/ARM64. Run this POSIX-shell recipe from the repository you want to use; it deliberately pins the wrapper:
```bash
export M1ND_BINARY="$HOME/.local/share/m1nd/versions/1.6.3/m1nd-mcp" "$M1ND_BINARY" --version
npx -y @maxkle1nz/m1nd@1.6.3 hosts plan --host claude --project . --binary "$M1ND_BINARY" npx -y @maxkle1nz/m1nd@1.6.3 hosts apply --host claude --project . --binary "$M1ND_BINARY" --yes ```
Replace claude with your host, such as codex or cursor. Follow the printed instructions: some host-managed configuration and hooks are printed for you to install, not written automatically. Restart or reconnect the host after configuration changes. See the host integration matrix for host-specific behavior.
Before reconnecting, add M1ND_RUNTIME_DIR to the generated MCP server environment with the same absolute path printed by echo "$M1ND_RUNTIME_DIR". Keep the generated M1ND_WORKSPACE_ROOT. hosts apply does not add the runtime selector for you; without it, a host launched elsewhere can open a different graph.
This recipe targets native 1.6.3. Pinning the npm wrapper alone does not pin update apply; that command follows the registry channel and is intentionally excluded here. If the selected binary reports a different version, check that release's setup contract before continuing. The birth command is a human terminal step, not an agent tool call. Its receipt must report brain: "owner_bound_graph", the intended born_root, the exact runtime in store_dir, and node_count > 0. If it refuses, follow its diagnostic rather than replacing another runtime or forcing ingest. For source builds, use the separate contributor path below.
高质量的MCP代码图引擎,智能开发辅助
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,MCP代码图引擎 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | m1nd |
| 原始描述 | 开源MCP工具:A local code graph engine for MCP agents: proof-aware state, guided next steps, 。⭐20 · Rust |
| Topics | mcpagent-toolsai-agentscode-analysiscode-graph |
| GitHub | https://github.com/maxkle1nz/m1nd |
| License | MIT |
| 语言 | Rust |
收录时间:2026-06-28 · 更新时间:2026-07-04 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端