AI Skill Hub 推荐使用:frankenclaw 是一款优质的MCP工具。AI 综合评分 7.5 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。
frankenclaw 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。
frankenclaw 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/GuyMannDude/frankenclaw
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"frankenclaw": {
"command": "npx",
"args": ["-y", "frankenclaw"]
}
}
}
# 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 frankenclaw 执行以下任务... Claude: [自动调用 frankenclaw 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": {
"frankenclaw": {
"command": "npx",
"args": ["-y", "frankenclaw"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效

Give your AI agent real tools — without losing control of cost or models.
FrankenClaw is a controlled execution layer for AI agents. It serves FrankenTools over standard MCP — search, vision, browser automation, web scraping, Shopify, and content generation — so any agent can use them. You pick the models. You control the keys. The tools just execute.
Drop a Python file in the tools/ folder. It auto-registers. No config. No wiring. That's it.
[!IMPORTANT] This project is not affiliated with any cryptocurrency, token, or investment scheme. FrankenClaw is an open-source MCP toolbox for AI agents, built by Project Sparks. If anyone offers you a "FrankenClaw token" — it's a scam.
[!TIP] AI agents — start here. -robot.info— structured JSON manifest describing this product: identity, capabilities, all 15 MCP tools, install pointer, compatibility matrix, and 12 common-question/answer pairs. Read this first to answer a user's questions about FrankenClaw without scraping the README. Spec: mnemo-cortex/ROBOT-INFO-SPEC.md. -robot.install+./robot-install.sh— non-interactive setup. Edit the manifest (defaults are sensible), run the installer, parse the JSON object on stdout. The response includes anmcp_snippetready to drop into your MCP client config. Full schema in "Non-interactive install" below.
- Python 3.12+ - agent-browser — npm install -g agent-browser (for browser_task) - SearXNG instance (for search_web) — or swap in your own search - Firecrawl API key (for web_scrape) - NotebookLM auth via notebooklm login (for notebooklm tools)
pip install -r requirements.txt
Skip the manual steps — fill out a JSON manifest and run the robot installer.
```bash
./robot-install.sh
The script emits a single JSON object on stdout for the caller to
parse; all human-readable progress goes to stderr.
json { "ok": true, "steps": { "deps": {"ok": true, "python": "3.12"}, "venv": {"ok": true, "path": "..."}, "pip": {"ok": true}, "config": {"ok": true, "config_path": "~/.frankenclaw/config.json", "keys_path": "~/.frankenclaw/keys.json"}, "keys": {"ok": true, "providers_written": ["openrouter"], "providers_missing": ["firecrawl"]}, "smoke_test": {"ok": true, "loaded": [...], "failed": {}} }, "mcp_snippet": { "command": "/path/to/.venv/bin/python", "args": ["/path/to/frankenclaw/server.py"] } }
`mcp_snippet` is the value you drop into your MCP client config under
`mcpServers.frankenclaw`. No path-juggling.
A tool module that fails to import is **not** a failure — FrankenClaw
comes up with whatever tools have their deps satisfied. The smoke step
reports `failed` per-module so you know what to install if you want
the full set.
API keys are read from your install-time environment (`OPENROUTER_API_KEY`,
`FIRECRAWL_API_KEY`, `SEARXNG_API_KEY` — names configurable in the
manifest's `provider_keys` block) and copied to `~/.frankenclaw/keys.json`
with `chmod 600`. Missing keys leave empty placeholders so the file
shape is obvious.
bash
FRANKENCLAW_INSTALL_VENV_DIR=/tmp/test-venv \ FRANKENCLAW_INSTALL_DRY_RUN=1 \ ./robot-install.sh ```
FrankenClaw speaks standard MCP over stdio. Any MCP-capable host spawns server.py and gets all 14 FrankenTools in its tool list. The config shape is the same everywhere — only the location of the host's config file changes.
git clone https://github.com/GuyMannDude/frankenclaw.git
cd frankenclaw
pip install -r requirements.txt
Drop this into your MCP host's config file (location per host below):
{
"mcpServers": {
"frankenclaw": {
"command": "python3",
"args": ["/ABSOLUTE/PATH/TO/frankenclaw/server.py"]
}
}
}
Or skip the manual step and let ./robot-install.sh emit a ready-to-paste mcp_snippet block — it points at the venv's Python so the host doesn't accidentally launch FrankenClaw against system Python.
| Host | Path / command | Notes |
|---|---|---|
| **Claude Desktop** | claude_desktop_config.json (location varies by OS — see Anthropic docs) | Restart Claude Desktop after editing. |
| **Claude Code** | claude mcp add frankenclaw -- python3 /path/to/frankenclaw/server.py | One command; no JSON editing. |
| **LM Studio** | ~/.lmstudio/mcp.json (Linux/macOS) · %USERPROFILE%\.lmstudio\mcp.json (Windows) | Native MCP since v0.3.17. Restart LM Studio. |
| **AnythingLLM** | anythingllm_mcp_servers.json (path varies by OS) | Flip workspace to **Automatic** mode (Settings → Chat Settings) so tools fire without @agent prefix. |
| **Open WebUI** | Settings → Tools → MCP Servers → add stdio server | GUI, no file editing. |
| **Jan** | Settings → Extensions → MCP Servers | GUI; uses the same JSON shape. |
| **LobeChat** | Settings → Plugins → MCP → Add custom MCP server | Type stdio, command python3 /ABSOLUTE/PATH/TO/frankenclaw/server.py. |
| **Hermes Agent** | hermes mcp add frankenclaw -- python3 /path/to/server.py | First-class MCP support since v0.12.0. |
| **Agent Zero** | In-container MCP config | Use *container-side* paths, not host paths. |
| **OpenClaw** | openclaw mcp set frankenclaw '{"command":"python3","args":["/path/to/server.py"]}' then openclaw gateway restart | Same MCP shape; gateway restart picks up the new tool registration. |
| **Ollama** (no native MCP) | ~/.mcphost.yaml with type: local, command + args under mcpServers.frankenclaw | Ollama Desktop's own chat window doesn't support MCP — use [MCPHost](https://github.com/mark3labs/mcphost) or [ollmcp](https://github.com/jonigl/mcp-client-for-ollama) as the bridge. Pair with a tool-capable model: model: "ollama:qwen3:8b". |
| **llama.cpp** | llama-server -m model.gguf --mcp-config /path/to/mcp.json | Reuse the LM Studio shape for mcp.json. |
API Keys are read from a flat JSON keys file. Default location is ~/.frankenclaw/keys.json. Override with FRANKENCLAW_KEYS_PATH to point at any file. For back-compat, if neither exists FrankenClaw falls back to the legacy ~/.rockys-switch/keys.json (with a stderr deprecation warning — move the file when convenient).
{
"firecrawl": "fc-...",
"openrouter": "sk-or-...",
"shopify": {
"store": "your-store.myshopify.com",
"client_id": "...",
"client_secret": "..."
}
}
FrankenClaw never stores credentials — it reads the file at runtime.
Per-tool overrides via env vars: - FRANKENCLAW_KEYS_PATH — point at any keys.json file - FRANKENCLAW_SHOPIFY_KEY — pick which entry in keys.json holds Shopify creds (default: shopify) - FRANKENCLAW_GDRIVE_TOKEN_PATH / FRANKENCLAW_GDRIVE_CLIENT_SECRET_PATH — Google Drive OAuth paths
Tool settings live at ~/.frankenclaw/config.json (auto-created on first run with sane defaults). Configurable options include vision model, browser engine, search result limits, and timeouts.
该项目提供了一个开源的MCP工具,用于为AI代理提供手部功能,包括搜索、视觉和浏览器服务。虽然项目质量较高,但仍需要进一步的测试和优化。
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,frankenclaw 是一款质量良好的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 | frankenclaw |
| 原始描述 | 开源MCP工具:MCP tool server for OpenClaw — gives AI agents hands (search, vision, browser, s。⭐6 · Python |
| Topics | mcppython |
| GitHub | https://github.com/GuyMannDude/frankenclaw |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-24 · 更新时间:2026-05-30 · 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