How much does DuckDuckGo & Felo AI Search cost?

DuckDuckGo & Felo AI Search uses a free pricing model.

What are the main advantages of DuckDuckGo & Felo AI Search?

Zero-friction setup with no API keys or credit cards required to start searching.. Dual-provider architecture combining standard DuckDuckGo results with synthesized Felo AI answers.. High-quality content extraction that cleans HTML into LLM-friendly text, reducing token costs.. Built-in security features like user-agent rotation and rate limiting to minimize scraping blocks.. Native MCP support, making it instantly compatible with popular AI IDEs like Cursor and Windsurf..

What are the drawbacks of DuckDuckGo & Felo AI Search?

Reliability is dependent on scraping; changes to DuckDuckGo's HTML structure can break the tool.. Search accuracy and depth may be lower compared to commercial-grade APIs like Bing or Google.. Performance can be slower than dedicated APIs due to the overhead of scraping and cleaning content.. Limited enterprise support as it is maintained as an open-source project by an individual developer..

DuckDuckGo & Felo AI Search

Pricing: Free

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TL;DR

DuckDuckGo & Felo AI Search is an open-source Model Context Protocol (MCP) server that provides AI assistants with real-time web search and content extraction. It is designed for developers building AI agents who need a privacy-focused, zero-cost alternative to paid search APIs. Its key differentiator is the ability to provide AI-powered answers via Felo AI and web results via DuckDuckGo scraping without requiring any API keys.

What Users Actually Pay

No user-reported pricing yet.

Our Take

This product occupies a vital niche in the burgeoning 'Agentic Web' ecosystem as a high-utility, low-friction tool for local AI development. By leveraging the Model Context Protocol (MCP), it bridges the gap between static LLMs and the live web, specifically catering to developers using tools like Claude Desktop or Cursor. Its market position is that of a 'hacker-friendly' utility—prioritizing ease of setup and privacy over the industrial-scale reliability of paid services like Tavily or Bing Search. The inclusion of Felo AI integration is a clever strategic move, as it allows the agent to access synthesized, multi-lingual AI search results rather than just raw links. This makes it more capable of 'deep research' than standard search wrappers. However, because it relies on web scraping rather than official APIs for DuckDuckGo, it faces an inherent limitation: the constant risk of being rate-limited or blocked by the source websites, making it less suitable for high-volume production environments. Overall, it is best suited for individual developers, privacy enthusiasts, and researchers who need a local search 'brain' for their AI agents without the friction of monthly subscriptions or API key management. It represents the trend of 'democratizing' search access for autonomous agents by bypassing commercial gatekeepers.

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Pros

+ Zero-friction setup with no API keys or credit cards required to start searching.
+ Dual-provider architecture combining standard DuckDuckGo results with synthesized Felo AI answers.
+ High-quality content extraction that cleans HTML into LLM-friendly text, reducing token costs.
+ Built-in security features like user-agent rotation and rate limiting to minimize scraping blocks.
+ Native MCP support, making it instantly compatible with popular AI IDEs like Cursor and Windsurf.

Cons

- Reliability is dependent on scraping; changes to DuckDuckGo's HTML structure can break the tool.
- Search accuracy and depth may be lower compared to commercial-grade APIs like Bing or Google.
- Performance can be slower than dedicated APIs due to the overhead of scraping and cleaning content.
- Limited enterprise support as it is maintained as an open-source project by an individual developer.

Sentiment Analysis

+0.82 — Very PositiveUpdated Mar 28, 2026

Sentiment has improved since last capture. The sentiment has shifted from 0.00 (previously unknown/neutral) to strongly positive. Developers appreciate the tool's 'keyless' nature and its specific optimization for AI agents via the MCP protocol. The community values it as a top-tier free alternative for local RAG (Retrieval-Augmented Generation) pipelines.

Sentiment Over Time

By Source

Reddit+0.80

12 mentions

Sample quotes (2)

"OEvortex/ddg_search is a great TypeScript version that adds extra features, including integration with Felo AI for AI-powered responses."
"It's one of the best MCP servers for web search if you want to avoid paying for Brave or Tavily keys."

github+0.90

25 mentions

Sample quotes (2)

"Unlike many search tools, this package performs actual web scraping rather than using limited APIs, giving you more comprehensive results."
"Blazing-fast and privacy-friendly. The MCP compliance makes it work out of the box with Claude."

developer_blogs+0.75

5 mentions

Sample quotes (2)

"Adds Felo AI search for technical queries, enhancing results compared to standard DDG wrappers."
"A privacy-focused MCP server that leverages DuckDuckGo for efficient web search and URL content extraction."

Agent Readiness

56/100

DuckDuckGo & Felo AI Search is 'highly ready' for autonomous AI agents. It is built specifically on the Model Context Protocol (MCP), the emerging standard for agent-tool communication. Because it requires no API keys and uses a standardized tool schema, an agent can discover and utilize its search, fetch, and metadata tools with zero human intervention. It can also be deployed as a streamable HTTP proxy via gateways like ToolSDK, providing a REST-like interface with auto-generated OpenAPI documentation.

API Surface100

Public APIJSON-RPCSTDIOREST (via HTTP Gateway)Free TieropenApi

Protocol Support0

MCP (0 tools)

SDK Availability35

npm: felo-ai

Integration Ecosystem50

n8nWebhooksClaude DesktopCursorWindsurfRoo CodeModel Context Protocol (MCP) clientsToolSDK Registry

Developer Experience85

Docs: goodSandboxVersioningChangelog

Last checked Mar 28, 2026

MCP Integrations

1 server10,281 total uses

DuckDuckGo & Felo AI SearchOEvortex/ddg_search

smitheryRemoteHigh match

Provide fast, privacy-friendly web and AI-powered search capabilities with integrated content and metadata extraction. Enhance your AI assistants by enabling comprehensive web scraping without requiring API keys. Optimize performance with caching and secure usage through rate limiting and user agent rotation.

10,281 usesNOASSERTION

Last checked Mar 18, 2026