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版本数
在 OpenClaw 中安装
/install pieces-mcp
功能描述
Connect OpenClaw to Pieces via MCP-only (no SSE) and use Pieces as external long-term memory. Use this when the human runs PiecesOS with LTM enabled on anoth...
安全使用建议
This skill appears coherent for connecting OpenClaw to a Pieces MCP server via a tunnel. Before installing or using it: 1) Be aware it will instruct you to expose a PiecesOS MCP endpoint to the public internet via ngrok or a custom tunnel — only do this if you trust the remote machine and understand the exposure risk. Use short-lived tunnels and restrict access where possible. 2) Do not paste or share any secret tokens, SSH keys, or private URLs in public chat; the skill only needs the HTTPS tunnel URL and the server-assigned session id pattern. 3) Confirm any instructions that tell you to install or run third-party tooling (mcp-remote, MCPorter) come from trusted sources before you run them. 4) If additional parts of the SKILL.md (not included here) instruct running downloads from arbitrary URLs or ask for unrelated credentials, treat that as suspicious and stop. If you want a stricter assessment, provide the rest of SKILL.md or any lines that instruct installing binaries or running remote scripts.
功能分析
Type: OpenClaw Skill
Name: pieces-mcp
Version: 1.0.3
The skill bundle provides detailed instructions for an OpenClaw agent to integrate with Pieces Long-Term Memory using the Model Context Protocol (MCP). It guides the agent through setting up a secure tunnel (e.g., ngrok), installing the 'mcp-remote' npm package, and configuring 'mcporter.json'. The instructions include security-conscious practices, such as using file-based JSON for curl commands to prevent shell injection, and the overall logic is transparently aligned with the stated purpose of external memory integration.
能力评估
Purpose & Capability
The name/description describe integrating OpenClaw with Pieces MCP and the instructions focus on constructing and using an MCP URL, session handling, and using Pieces tools. The SKILL.md references MCPorter and mcp-remote (expected bridge components) but does not require unexpected credentials or unrelated system access.
Instruction Scope
Instructions are narrowly about validating a user-provided HTTPS tunnel, initializing MCP sessions, and making properly formed requests. The skill asks the agent to prompt the human to run ngrok or a similar tunnel and to paste the tunnel URL. This requires the agent to instruct the human to expose a local service to the internet (a legitimate but security-sensitive operation). The SKILL.md does not appear to instruct the agent to read unrelated host files or exfiltrate secrets.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest-risk install surface. It references external tools but does not attempt to download or execute code itself.
Credentials
The skill declares no required environment variables, secrets, or config paths. The runtime instructions rely on a user-supplied HTTPS URL and server-assigned session IDs only, which is proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request permanent or system-wide modifications. Nothing in the SKILL.md requests modifying other skills or global agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pieces-mcp - 安装完成后，直接呼叫该 Skill 的名称或使用
/pieces-mcp触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
No functional changes detected; documentation update only.
v1.0.2
- Emphasizes file-based JSON for curl and string IDs for JSON-RPC requests to prevent shell/formatting errors.
- Clarifies session management: always extract and use the server-assigned session ID from the response header.
- Enhances troubleshooting and error-handling instructions for connecting to the MCP server.
- Streamlines setup steps and improves language for guiding human users.
v1.0.1
Added exact example requests for initializing Pieces, asking Pieces, and creating memories in Pieces.
v1.0.0
pieces-mcp v1.0.0
- Initial release of the Pieces MCP Skill for OpenClaw.
- Enables OpenClaw agents to connect to Pieces as long-term memory using MCP-only (no SSE) via a remote MCP server exposed over an ngrok tunnel.
- Provides step-by-step instructions for setup, including human guidance, MCPorter configuration, and connection verification.
- Documents correct usage of Pieces tools (`ask_pieces_ltm`, `create_pieces_memory`, search functions) as part of agent reasoning.
- Includes troubleshooting guidelines for common setup and connectivity issues.
元数据
常见问题
Pieces Long-Term Memory (MCP) 是什么？
Connect OpenClaw to Pieces via MCP-only (no SSE) and use Pieces as external long-term memory. Use this when the human runs PiecesOS with LTM enabled on anoth... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 245 次。
如何安装 Pieces Long-Term Memory (MCP)？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pieces-mcp」即可一键安装，无需额外配置。
Pieces Long-Term Memory (MCP) 是免费的吗？
是的，Pieces Long-Term Memory (MCP) 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pieces Long-Term Memory (MCP) 支持哪些平台？
Pieces Long-Term Memory (MCP) 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Pieces Long-Term Memory (MCP)？
由 Jack Ross（@jackrosspieces）开发并维护，当前版本 v1.0.3。
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