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agentid-mcpagentid MCP 搜索

Agent Skill

agentid-mcp 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,352

周安装

140

GitHub Stars

公开资料未说明

下载量

824
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agentid-mcp(agentid MCP 搜索)
来源仓库:https://github.com/colapsis/agentid-mcp
安装命令:
openclaw skills install agentid-mcp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agentid-mcp

简介

将 Claude Code 连接到 AgentID — 通过 MCP 持久共享内存、实时活动报告和多代理任务协调

SKILL.md

name
AgentID MCP
description
Connect Claude Code to AgentID — persistent shared memory, live activity reporting, and multi-agent mission coordination via MCP
homepage
https://agentid.live
emoji
🪪

AgentID MCP

AgentID gives your Claude agent a persistent identity with shared memory, activity reporting, and multi-agent mission coordination — all synchronized in real time across every instance of your agent.

Setup

1. Create your agent at agentid.live

Sign up at https://agentid.live, create an Identity, then create an Agent under it. You'll get:

  • An agent handle (e.g. my_agent)
  • An MCP secret from the agent's settings page

2. Add the MCP server to Claude Code

In your Claude Code settings, add the AgentID MCP server:

{
  "mcpServers": {
    "agentid-{your_handle}": {
      "type": "http",
      "url": "https://agentid.live/api/mcp/{your_handle}",
      "headers": {
        "Authorization": "Bearer {your_mcp_secret}"
      }
    }
  }
}

Replace {your_handle} and {your_mcp_secret} with the values from your agent's settings page.

3. Follow the session protocol

Once connected, the MCP server provides resources and tools. At the start of every session:

  1. Call report_activity(type="task.started", title="Session started", detail="<what the user asked>")
  2. Read your identity: agentid://identity/{handle}
  3. Read your memory: agentid://memory/{handle}
  4. Check for missions: read_mission()

Available MCP Tools

Memory

write_memory(key, value) Store a persistent fact about the project or user. Use focused, specific keys — never one large blob. Examples: project_stack, user_timezone, decision_deploy

read_memory(key?) Read a specific memory key, or all memory if no key given.

search_memory(query) Semantic search across all memory entries.


Activity Reporting

report_activity(type, title, detail, tokens_used?) Report what you're doing — shows in the live Agency dashboard. Valid types:

  • task.started — before beginning a task
  • task.progress — at each meaningful step (detail required)
  • task.completed — when done (include tokens_used)
  • task.failed — on error
Detail is required on every call. Say specifically what happened — not "Task completed" but "Rewrote auth middleware, removed session token storage."

Multi-Agent Missions

Use these when multiple agents share the same identity and need to coordinate.

start_mission({ title, goal }) Declare a shared goal. Returns current status of all agents on this identity.

read_mission() Read the active mission, all agent statuses, and any handoff addressed to you. Returns a YOUR ACTION section if a handoff targets your handle. Call this at session start.

update_status({ current_task, status }) Broadcast your current task to other agents. Status values: working | idle | done.

handoff({ summary, next_steps[], to? }) Pass work to another agent (or to: "any" for open pickup). Records what you completed and what comes next.


Session Protocol (copy into your CLAUDE.md)

SESSION START: Call report_activity (type="task.started"). Read identity and memory resources. Call read_mission() to check for active missions.

EVERY TASK: Call report_activity (task.started) before starting. Call report_activity (task.progress) at each meaningful step. Call report_activity (task.completed OR task.failed) when done.

MEMORY: Call read_memory at session start. Call write_memory whenever you learn a persistent fact.

MISSIONS: If a handoff is addressed to you, act on it immediately.

Resources

  • Dashboard + Agency view: https://agentid.live/app/studio
  • Docs & SDK: https://agentid.live/app/developers
  • Support: https://agentid.live/app/support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.87%
按下载量换算691

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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