# DeepWiki MCP

```json
{
  "name": "DeepWiki MCP",
  "slug": "deepwiki_mcp",
  "url": "https://composio.dev/toolkits/deepwiki_mcp",
  "markdown_url": "https://composio.dev/toolkits/deepwiki_mcp.md",
  "logo_url": "https://logos.composio.dev/api/deepwiki_mcp",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-06-18T09:24:42.747Z"
}
```

![DeepWiki MCP logo](https://logos.composio.dev/api/deepwiki_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with DeepWiki MCP MCP or direct API to analyze public GitHub repos, summarize architecture, answer codebase questions, and inspect documentation through natural language.

## Summary

DeepWiki MCP is a free AI-powered service for exploring public GitHub repository documentation and codebases.
Use it to understand unfamiliar repos fast without setting up credentials or cloning code locally.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 3

## Images

- Logo: https://logos.composio.dev/api/deepwiki_mcp

## Authentication

- **No Auth**
  - Type: `custom`
  - Description: No Auth authentication for DeepWiki MCP.
  - Setup:
    - Configure No Auth credentials for DeepWiki MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Explain this repository's authentication flow
- Summarize React source code structure
- Find API endpoints in FastAPI repo

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DEEPWIKI_MCP_ASK_QUESTION` | Ask question | Ask any question about a GitHub repository and get an AI-powered, context-grounded response. Args: repoName: GitHub repository or list of repositories (max 10) in owner/repo format question: The question to ask about the repository |
| `DEEPWIKI_MCP_READ_WIKI_CONTENTS` | Read wiki contents | View documentation about a GitHub repository. Args: repoName: GitHub repository in owner/repo format (e.g. "facebook/react") |
| `DEEPWIKI_MCP_READ_WIKI_STRUCTURE` | Read wiki structure | Get a list of documentation topics for a GitHub repository. Args: repoName: GitHub repository in owner/repo format (e.g. "facebook/react") |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute DeepWiki MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute DeepWiki MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Summarize the architecture of the public GitHub repository vercel/next.js using DeepWiki'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Summarize the architecture of the public GitHub repository vercel/next.js using DeepWiki'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for DeepWiki MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to DeepWiki MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Explain the main modules in the public GitHub repository langchain-ai/langchain using DeepWiki')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Explain the main modules in the public GitHub repository langchain-ai/langchain using DeepWiki'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native DeepWiki MCP Integration

- Supports both DeepWiki MCP server and direct API based integrations
- Structured, LLM-friendly schemas help agents ask precise questions about public GitHub repositories
- Great for codebase exploration, architecture summaries, documentation lookup, and repository research

### 2. Managed Auth

- No OAuth setup, API keys, or developer credentials needed because DeepWiki MCP uses NO_AUTH
- No auth_configs.create() or connected_accounts.link() flow required for this toolkit
- Use Composio Tool Router sessions, or mcp.create() in custom MCP flows, to expose DeepWiki MCP tools to your agents

### 3. Agent Optimized Design

- Tools are shaped for AI agents, so they can query repositories without brittle custom integration code
- Execution logs show which DeepWiki MCP action ran, when it ran, and what repository your agent inspected
- Here’s the thing: agents get useful codebase context without you building a repo-analysis pipeline from scratch

### 4. Enterprise Grade Security

- Fine-grained RBAC controls which agents and users can access DeepWiki MCP tools
- Safe access pattern for public GitHub repository analysis with no stored third-party credentials
- Full audit trail of agent actions to support review, debugging, and compliance

## Use DeepWiki MCP with any AI Agent Framework

Choose a framework you want to connect DeepWiki MCP with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/deepwiki_mcp/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/deepwiki_mcp/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/deepwiki_mcp/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/deepwiki_mcp/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/deepwiki_mcp/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/deepwiki_mcp/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/deepwiki_mcp/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/deepwiki_mcp/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/deepwiki_mcp/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/deepwiki_mcp/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/deepwiki_mcp/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/deepwiki_mcp/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/deepwiki_mcp/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/deepwiki_mcp/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/deepwiki_mcp/framework/autogen)

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## Frequently Asked Questions

### Do I need my own developer credentials to use DeepWiki MCP with Composio?

No. DeepWiki MCP requires no authentication, so you don't need OAuth credentials, API keys, or a custom developer app. Composio gives your agent a managed Tool Router or MCP connection to DeepWiki MCP tools, so it can analyze public GitHub repositories right away.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)