经 AI Skill Hub 精选评估,Mimir 获评「推荐使用」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。
Mimir 是一个开源的 MCP 工具,用于自我演进的方法论,适用于定义明确的任务。它提供了一个基础框架,帮助用户创建自适应的工作流程和工具。
Mimir 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。
Mimir 是一个开源的 MCP 工具,用于自我演进的方法论,适用于定义明确的任务。它提供了一个基础框架,帮助用户创建自适应的工作流程和工具。
Mimir 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/phainestai/mimir
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mimir": {
"command": "npx",
"args": ["-y", "mimir"]
}
}
}
# 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 Mimir 执行以下任务... Claude: [自动调用 Mimir 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": {
"mimir": {
"command": "npx",
"args": ["-y", "mimir"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Your Ever-Evolving Engineering Playbook
Mimir helps you work more effectively by providing structured playbooks that your AI assistant can access directly in your IDE. Get guidance, generate work plans, track progress, and continuously improve your development process.
For architecture and design details, see docs/architecture/SAO.md
Two containers: FOB (Django web UI + API) and MCP Facade (connects your AI IDE to FOB).
1. Clone the repository
git clone https://github.com/petelind/mimir.git
cd mimir
2. Create virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
3. Install dependencies
pip install -r requirements.txt
4. Initialize database
python manage.py migrate
Note: The default database (mimir.db) includes the FeatureFactory playbook, which was used to build Mimir itself. This playbook provides a complete feature development workflow with 8 activities covering planning, implementation, testing, and finalization.
Create or restore the conventional dev superuser used by MCP/facade tests:
python manage.py create_default_admin
Run this whenever your SQLite auth drifts after local experiments (recommended before pytest facade tests).
For production or shared environments:
python manage.py createsuperuser
You'll be prompted for: - Username (required) - Email (optional, for password reset) - Password (minimum 8 characters)
6. Run tests Run unit and integration tests:
pytest tests/
> Note: BDD feature files in docs/features/act-*/ serve as comprehensive UI specifications (46 files covering Acts 0-15). Step definitions will be implemented during development.
Mimir runs as two processes that work together:
docker run -d \ --name mimir-fob \ -p 8000:8000 \ -v ~/mimir-data:/app/data \ -e MIMIR_USER=admin \ -e MIMIR_PASSWORD=changeme \ -e MIMIR_EMAIL=admin@localhost \ 411113550285.dkr.ecr.us-east-1.amazonaws.com/mimir:latest
open http://localhost:8000 ```
The MCP facade is published as a public Docker Hub image (featurefactory/mimir-mcp) — no registry login needed.
Windsurf (~/.codeium/windsurf/mcp_config.json), Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json), Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"mimir": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "MIMIR_SERVER_URL=http://localhost:8000",
"-e", "MIMIR_TOKEN=<your-token>",
"-e", "MCP_TRANSPORT=stdio",
"featurefactory/mimir-mcp:latest"
]
}
}
}
Replace <your-token> with the token from Step 2. Restart your IDE after saving.
Multi-platform: amd64 + arm64 · Data safety: SQLite in mounted volume · Hosted FOB: changeMIMIR_SERVER_URLtohttps://mimir.featurefactory.io
See docs/DOCKER_QUICK_START.md for docker-compose setup and full reference.
~/.codeium/windsurf/mcp_config.json~/Library/Application Support/Claude/claude_desktop_config.json~/.cursor/mcp.jsonSee the Quick Start section above for the config snippet.
---
Register at mimir.featurefactory.io to get your token, then add to your IDE config:
Windsurf (~/.codeium/windsurf/mcp_config.json) · Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json) · Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"mimir": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "MIMIR_SERVER_URL=https://mimir.featurefactory.io",
"-e", "MIMIR_TOKEN=<your-token>",
"-e", "MCP_TRANSPORT=stdio",
"featurefactory/mimir-mcp:latest"
]
}
}
}
For a local FOB, set MIMIR_SERVER_URL=http://localhost:8000. Restart your IDE after saving.
curl -s -X POST http://localhost:8000/api/auth/token/ \
-d "username=admin&password=changeme" | python3 -c \
"import sys,json; print(json.load(sys.stdin)['token'])"
python manage.py runserver 8000
Open http://localhost:8000 in your browser and log in with your credentials.
Once logged in, you can: - Browse playbooks: View activities, workflows, phases, artifacts, roles, and howtos - Review PIPs: Approve or reject Playbook Improvement Proposals - Compare versions: See what changed between playbook versions - Edit locally: Customize playbooks for your team
Your AI assistant can query Mimir directly from your IDE (powered by FastMCP):
You: "How do I build a TSX component per FDD playbook?"
AI: → Queries Mimir → Returns activity guidance and relevant Howtos
Mimir 是一个帮助开发者更有效工作的工具,通过提供结构化的工作手册,让您的 AI 助手直接在 IDE 中访问。它提供了指导、生成工作计划、跟踪进度和持续改进开发过程的功能。
环境依赖与系统要求:Python 3.11 或更高版本、支持 MCP 的 IDE(如 Claude Desktop、Cursor、Windsurf 等)以及 HOMEBASE 访问凭证(可选,用于同步)
快速开始使用 Docker:创建两个容器,FOB(Django web UI + API)和 MCP Facade(连接您的 AI IDE 到 FOB)
Mimir 运行为两个进程,协同工作:
配置说明:使用持久存储(可选:传递 GITHUB_TOKEN + GITHUB_EMAIL)
获取 API 令牌:使用 curl 命令向 http://localhost:8000/api/auth/token/ 发送 POST 请求,传递 username 和 password
典型工作流:
常见问题:使用 MCP 直接回答工作手册问题
Mimir 是一个有潜力的开源 MCP 工具,提供了一个基础框架,帮助用户创建自适应的工作流程和工具。然而,缺乏更多的文档和示例可能会限制其广泛的采用。
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。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:Mimir 的核心功能完整,质量良好。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | mimir |
| 原始描述 | 开源MCP工具:Mimir is a foundation for self-evolving methodologies for well-defined tasks - i。⭐10 · Python |
| Topics | mcppython |
| GitHub | https://github.com/phainestai/mimir |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-05-19 · 更新时间:2026-05-24 · License:Apache-2.0 · 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