AI Skill Hub 推荐使用:PawFlow代理 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。
PawFlow代理 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。
PawFlow代理 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/allcolor/PawFlow-Agents
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"pawflow--": {
"command": "npx",
"args": ["-y", "pawflow-agents"]
}
}
}
# 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 PawFlow代理 执行以下任务... Claude: [自动调用 PawFlow代理 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": {
"pawflow__": {
"command": "npx",
"args": ["-y", "pawflow-agents"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <a href="https://pawflow.allcolor.org/"> <img src="pawflow-logo-512.png" alt="PawFlow" width="180"> </a> </p>
<p align="center"> <strong>Self-hosted agent runtime for real infrastructure.</strong><br> Run durable AI agents against your own files, tools, browsers, desktops, services, and workflows. </p>
<p align="center"> <a href="https://pawflow.allcolor.org/"><strong>Website</strong></a> · <a href="https://pawflow.allcolor.org/quickstart.html">Quickstart</a> · <a href="https://pawflow.allcolor.org/docs.html">Docs</a> · <a href="https://github.com/allcolor/PawFlow-Agents/releases/latest">Releases</a> </p>
<p align="center"> <a href="https://github.com/allcolor/PawFlow-Agents/actions"><img src="https://github.com/allcolor/PawFlow-Agents/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="MIT License"></a> <a href="https://www.python.org/"><img src="https://img.shields.io/badge/python-3.10%2B-blue.svg" alt="Python 3.10+"></a> <a href="https://github.com/allcolor/PawFlow-Agents/releases"><img src="https://img.shields.io/badge/status-alpha-orange.svg" alt="Alpha"></a> </p>
---
PawFlow is the runtime layer between chat agents, local tools, and production workflows. The server keeps conversations, context, memory, files, flows, and provider sessions durable. Relays execute filesystem, shell, browser, desktop, and media tools next to the machines where the work actually happens.
Use it when a hosted coding assistant is too boxed-in, a workflow tool is too rigid, and a library is not enough runtime.
Downloadable artifacts are published on the latest GitHub release: installer zip, PawCode packages, Relay CLI archives, Relay Desktop installers, checksums, and source archives.
PAWFLOW_VERSION=$(curl -fsSL https://api.github.com/repos/allcolor/PawFlow-Agents/releases/latest \
| python3 -c 'import json,sys; print(json.load(sys.stdin)["tag_name"])')
curl -L -o "pawflow-install-$PAWFLOW_VERSION.zip" \
"https://github.com/allcolor/PawFlow-Agents/releases/download/$PAWFLOW_VERSION/pawflow-install-$PAWFLOW_VERSION.zip"
unzip "pawflow-install-$PAWFLOW_VERSION.zip"
cd "pawflow-install-$PAWFLOW_VERSION"
bash scripts/install-pawflow.sh --port PORT --pull-images --version "$PAWFLOW_VERSION"
On Windows PowerShell with Docker Desktop Linux containers, use the bundled PowerShell installer instead:
powershell -ExecutionPolicy Bypass -File scripts/install-pawflow.ps1 -Port PORT -PullImages -Version $env:PAWFLOW_VERSION
Check and apply release updates with:
bash scripts/install-pawflow.sh --check-updates
bash scripts/install-pawflow.sh --self-update
bash scripts/install-pawflow.sh --version NEW_VERSION --port PORT --pull-images
The update command recreates the PawFlow server container on the requested image while keeping persistent data under PAWFLOW_HOME, then removes older PawFlow server/relay image tags unless --keep-old-images is set.
Open the installer at:
https://localhost:PORT/install
The first-run Private Gateway key is RoyBetty. Finalizing the wizard replaces it.
The easiest path is the Docker installer from the latest release. It starts PawFlow, opens the bootstrap wizard, creates the first admin user, configures the selected LLM services, deploys the starter flow, and opens your first agent conversation.
Agents, services, and flows are configured via JSON. Parameters cascade: flow → conversation → user → global.
{
"llm_service": "claude_code_llm_service",
"summarizer_service": "claude_code_llm_service",
"permission_mode": "auto",
"max_iterations": 200
}
See .env.example for environment variables.
100+ tasks across 5 categories for data processing workflows:
| Category | Count | Examples |
|---|---|---|
| **System** | 11+ | log, wait, executeScript, cronTrigger, listFiles |
| **IO** | 50+ | HTTP, Telegram, Discord, Slack, WhatsApp, S3, GCS, Azure, SFTP, Kafka, MQTT, email, chat UI, relay |
| **Data** | 25+ | transformJSON, inferLLM, executeSQL, compressContent, validateJSON, Avro/Parquet |
| **Control** | 10+ | routeOnAttribute, splitContent, mergeContent, controlRate, subflows, wait/notify |
| **AI** | 2+ | agentLoop, agentActions, tool-use cycle |
Flows are defined in JSON, executed as DAGs, and support backpressure, checkpointing, crash recovery, parameter contexts, subflows, and CRON scheduling.
PawFlow Packages (.pfp) are signed zip artifacts for distributing PawFlow resources. A package can include agents, prompts, skills, themes, task definitions, flows, service definitions, tools, service providers, flow tasks, task providers, and UI extensions. Install is review-first: PawFlow verifies the package signature and lock file, shows a selectable install plan, records per-object provenance, and executes code-bearing objects through a relay runtime instead of importing third-party code into the server process.
Common package workflows:
/pfp key-create
/pfp build ./my-package.pfpdir --key-env PAWFLOW_PFP_SIGNING_KEY
/pfp inspect ./dist/my-package-1.0.0.pfp
/pfp install ./dist/my-package-1.0.0.pfp --include skill:x,service_provider:y
/pfp dev-load ./my-package.pfpdir --include service_provider:image --secret api_key=my_provider_key
/pfp export --package my.bundle --version 0.1.0 --include agent:helper,flow:daily --out ./my.bundle.pfpdir
Marketplace and registry support is decentralized. Users can add static package registries, search them, inspect remote packages with explicit download confirmation, then install or update selected objects. Skill marketplace import is also supported for Codex/OpenAI skills, Claude/Anthropic plugin marketplaces, HermesHub, and OpenClaw GitHub tree URLs; imports are bounded, reviewed, and never grant tool permissions automatically.
See PawFlow Packages, PFP Developer Guide, PFP Publisher Guide, and Marketplace.
Use the relay CLI or Relay Desktop to connect workspaces, desktops, browsers, and terminals. The VS Code extension can attach to the same conversation and resource panel.
高质量的开源MCP工具,具有较大潜力
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,PawFlow代理 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 | PawFlow-Agents |
| 原始描述 | 开源MCP工具:PawFlow (Platform for Agentic Workflows) Self-hosted agent runtime for real infr。⭐7 · Python |
| Topics | mcpagentic-aiai-agents |
| GitHub | https://github.com/allcolor/PawFlow-Agents |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-09 · 更新时间:2026-06-09 · 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