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deepwiki-mcpdeepwiki MCP 搜索

Agent Skill

deepwiki-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

11,712

周安装

488

GitHub Stars

公开资料未说明

下载量

3,904
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:deepwiki-mcp(deepwiki MCP 搜索)
来源仓库:https://github.com/chunhualiao/deepwiki-mcp
安装命令:
openclaw skills install deepwiki-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 deepwiki-mcp

简介

基于 AI 分析公共 GitHub 仓库信息的智能问答工具。

  • 适用于代码结构、架构设计或配置细节查询场景。
  • 可回答关于存储库源代码、API 接口等技术问题。
  • 依赖公开仓库数据,私有项目无法覆盖。
  • 建议限定问题范围以提升回答准确率。deepwiki-mcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
deepwiki
description
>
triggers

DeepWiki MCP

Query any public GitHub repository using DeepWiki's AI-powered documentation and Q&A service. No API key, no auth, free.

MCP endpoint: https://mcp.deepwiki.com/mcp

Scope & Boundaries

This skill handles:

  • Asking natural-language questions about any public GitHub repo
  • Listing documentation topics indexed by DeepWiki
  • Fetching full wiki contents for a repo
  • Running queries via the included helper script

This skill does NOT handle:

  • Private repository access (requires paid Devin account)
  • Modifying repositories or submitting PRs
  • Real-time code analysis (DeepWiki may lag a few days behind latest commits)
  • Local code search or grep (use standard file tools for that)

Inputs

InputRequiredDescription
QuestionYesNatural-language question about a repo
RepositoryNoowner/repo format. Defaults to openclaw/openclaw
ActionNoask (default), topics, or docs

Outputs

  • AI-grounded text answer with source references from the repo
  • Or a structured list of documentation topics
  • Or full wiki contents (large output)

Workflow

Step 1 — Run the helper script

The script is located in this skill's directory at scripts/deepwiki.sh.

# Ask a question (defaults to openclaw/openclaw)
<skill_dir>/scripts/deepwiki.sh ask "How does session compaction work?"

# Ask about a specific repo
<skill_dir>/scripts/deepwiki.sh ask facebook/react "How does concurrent mode work?"

# List documentation topics
<skill_dir>/scripts/deepwiki.sh topics openclaw/openclaw

# Get full wiki contents (large output — prefer ask for targeted queries)
<skill_dir>/scripts/deepwiki.sh docs openclaw/openclaw

Replace <skill_dir> with the directory containing this SKILL.md.

Step 2 — Interpret and relay the answer

DeepWiki returns AI-generated answers grounded in the repo's actual source code. The response typically includes:

  • Direct answer to the question
  • References to specific files and code paths
  • Context about related functionality

Relay the answer to the user, adding your own context if you have additional knowledge.

Step 3 — Follow up if needed

If the answer is incomplete or raises new questions:

  • Ask a more specific follow-up question
  • Use topics to find relevant documentation sections
  • Use docs for broader context (but note: output can be very large)

Direct curl (fallback)

If the helper script is unavailable:

curl -s -X POST https://mcp.deepwiki.com/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "ask_question",
      "arguments": {
        "repoName": "owner/repo",
        "question": "YOUR QUESTION"
      }
    }
  }' | grep '^data:' | grep '"id":1' | sed 's/^data: //' | \
  python3 -c "import json,sys; d=json.load(sys.stdin); print(d['result']['content'][0]['text'])"

MCP Tools Reference

ToolPurposeArguments
ask_questionAsk any question, get AI-grounded answerrepoName, question
read_wiki_structureList documentation topics for a reporepoName
read_wiki_contentsGet full wiki docs for a reporepoName

Error Handling

ProblemDetectionAction
Timeout (>60s)curl hangs or no responseRetry once; DeepWiki may be under load
Empty responseNo data: lines in SSE streamCheck if repo exists and is public
Repo not indexedError message about unknown repoTry again — DeepWiki indexes on first request
Rate limitedHTTP 429 or error responseWait 30s and retry
Script not foundFile not at expected pathUse direct curl fallback

Success Criteria

  • DeepWiki returns a substantive answer (not an error or empty response)
  • Answer references actual code/files from the repository
  • User's question is addressed with grounded information

Configuration

No persistent configuration required. The skill uses:

  • exec tool to run the helper script (bash + curl + python3)
  • No API keys or authentication needed
  • Works for any public GitHub repository

System dependencies:

DependencyPurpose
bashScript execution
curlHTTP requests to MCP endpoint
python3JSON parsing of SSE responses

Notes

  • Responses take 10-30s (AI generates answers server-side)
  • ask_question is the most useful tool — use it first
  • DeepWiki crawls repos periodically; may lag behind very recent commits
  • Works for any public GitHub repo, not just OpenClaw
  • For private repos, a paid Devin account is required

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

71.71%
按下载量换算2,800

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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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