Deep Knowledge Mcp Server

Pricing

from $0.01 / 1,000 results

Try for free

Go to Apify Store

Deep Knowledge Mcp Server

Try for free

Deep Knowledge MCP Server gives LLMs real-time access to fresh technical docs using Google Search and web crawling. Instead of a basic scraper, it acts as a live knowledge engine for Claude or Cursor, letting developers instantly fetch and understand new libraries, and frameworks to code faster.

Pricing

from $0.01 / 1,000 results

Rating

5.0

(1)

Developer

vikash kumar

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

🚀 Features

🔍 Search Technical Docs: Finds relevant documentation, libraries, and GitHub repositories using a specialized Google Search setup.
📖 Fetch Documentation: Extracts clean, markdown-formatted content from any documentation URL, perfect for LLM context windows.
⚡ Fast & Scalable: built on Apify's infrastructure, handling anti-scraping protections automatically.
💰 Pay-per-Event: Simple pricing model based on the tools you use.

🛠️ Tools Provided

1. `search_technical_docs`

Searches for technical resources.

Input: query (e.g., "LangChain python documentation"), max_results (default: 5).
Output: A list of titles, URLs, and descriptions.

2. `fetch_documentation`

Reads a web page and returns its content.

Input: url (e.g., "https://python.langchain.com/docs/get_started/introduction").
Output: The page content converted to Markdown.

💻 How to Use

Option 1: limit with Claude Desktop (Recommended)

To use this Actor as a tool in Claude Desktop:

Deploy this Actor to your Apify account.
Get your Apify Token from Settings > Integrations.
Configure your claude_desktop_config.json:

{
  "mcpServers": {
    "deep-knowledge": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/mcp-server-runner",
        "ACTOR_NAME_OR_ID",
        "--token",
        "YOUR_APIFY_TOKEN"
      ]
    }
  }
}

(Replace ACTOR_NAME_OR_ID with this Actor's name, e.g., eager_cornet/deep-knowledge-mcp-server-v2)

Option 2: Standalone Mode (Demo)

You can run this Actor directly on the Apify Platform to test it without an AI client.

Go to the Input tab.
Uncheck Run as MCP Server.
Enter a Demo Search Query.
Click Start.
View results in the Output tab.

💸 Monetization & Pricing

This Actor uses Pay-per-Event pricing. You are charged only when the AI successfully calls a tool.

Search: charged per successful search operation.
Fetch: charged per successful page fetch.

Check the Pricing tab for exact rates.

👨‍💻 Development

This server is built with Python using the mcp SDK and apify-client.

Local Development:

# Install dependencies
pip install -r requirements.txt

# Run locally (requires APIFY_TOKEN env var)
python src/main.py

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