DuckDuckGo MCP Server vs Kagi MCP Server

DuckDuckGo MCP Server

MCP Servers

Kagi MCP Server

MCP Servers

Tagline

DuckDuckGo MCP Server

MCP server that gives Claude and other LLMs DuckDuckGo web search plus URL content fetching, with no API key required.

Kagi MCP Server

Official Kagi Search MCP server: search and extract the web from any MCP-compatible agent.

Pricing

DuckDuckGo MCP Server

Free· Free and open source (MIT). DuckDuckGo's search endpoint is used without API keys, so there are no per-query costs; self-hosting only incurs whatever compute you run it on.

Kagi MCP Server

Paid· Free: $0 USD · Team: $4 USD per user/month · Enterprise: $21 USD per user/month

Lowest paid tier

DuckDuckGo MCP Server

—

Kagi MCP Server

$4 USD per user/month · Team

captured 2026-10-27

API

DuckDuckGo MCP Server

Not listed

Kagi MCP Server

Yes

Open source

DuckDuckGo MCP Server

Yes · MIT

Kagi MCP Server

Yes · MIT

GitHub stars

DuckDuckGo MCP Server

1,554

checked 2026-10-29

Kagi MCP Server

552

checked 2026-10-29

Last GitHub push

DuckDuckGo MCP Server

2026-09-04

Kagi MCP Server

2026-10-28

First commit

DuckDuckGo MCP Server

2025-02

Kagi MCP Server

2024-12

Package downloads (30 d)

DuckDuckGo MCP Server

72,062 · pypi duckduckgo-mcp-server

checked 2026-10-10

Kagi MCP Server

—

Best for

DuckDuckGo MCP Server

Developers and hobbyists who want to give Claude Desktop or a custom MCP agent free, no-account web search and lightweight URL reading without wiring up a paid SERP API.

Kagi MCP Server

Engineers using Claude Code, Claude Desktop, or other MCP clients who already pay for Kagi and want their agent to search and read the web through Kagi's cleaner index instead of a generic SERP API.

Not for

DuckDuckGo MCP Server

Production agents doing high-volume research, or workflows that need Google-grade result quality, structured SERP metadata, or guaranteed uptime and SLAs.

Kagi MCP Server

Hobbyists who want a free web-search MCP, or teams that need summarizer/FastGPT tools today, or shops that require an on-prem search stack with no third-party API dependency.

Editorial score

DuckDuckGo MCP Server

—

Kagi MCP Server

—

Use cases

DuckDuckGo MCP Server

Adding live web search to Claude DesktopGrounding an MCP-based research agentFetching and summarising a specific URL from chatLocal deep-research loops without a SERP API billCoding agents looking up current library documentationFact-checking questions past the model's knowledge cutoffPrototyping RAG pipelines before paying for a search API

Kagi MCP Server

agent web search groundingClaude Code documentation lookupdeep-research pipelinesURL to Markdown extraction for RAGnews and video search from an LLMKagi lens-scoped queries in agentscitation gathering for research assistantscoding agent error-message lookups

Pros

DuckDuckGo MCP Server

• Zero configuration and zero cost — no API keys, accounts, or billing setup
• MIT-licensed and self-hostable, so nothing about your query stream leaves your machine except the DuckDuckGo request itself
• Two clean tools (search + fetch) that map onto the way agents actually use the web — search, then read the interesting hit
• Built-in per-minute rate limits and SSRF guardrails ship enabled by default
• Works out of the box with Claude Desktop, Claude Code, and any other MCP client via stdio, SSE, or streamable HTTP
• Optional browser backend for when DuckDuckGo's bot detection starts serving empty pages
• Small, focused Python codebase that is easy to fork and modify

Kagi MCP Server

• Official, first-party MCP server maintained by Kagi (not a community wrapper)
• Two clean tools that cover the 90% agent case: search and full-page Markdown extraction
• Both hosted (mcp.kagi.com) and local (uvx/Docker) deployment modes
• Documented setup recipes for Claude Desktop, Claude Code, Codex CLI, Kiro, OpenCode, Smithery
• MIT-licensed Python code, easy to fork or audit
• Rides Kagi's ad-free, spam-de-boosted index rather than generic SERP APIs
• Supports Kagi lenses and filters so agents can scope searches to news, docs, etc.

Cons

DuckDuckGo MCP Server

• DuckDuckGo's public endpoint is rate-limited and fingerprint-filtered — heavy or bursty use will get you empty results or temporary blocks even with the browser backend
• Search quality is DDG-quality: solid for general queries, weaker than Google/Bing for long-tail technical or academic lookups
• The fetch tool extracts plain text and drops most structure, so it is not a substitute for a real scraping/RAG pipeline on complex pages
• No caching or deduplication layer — every call re-hits DDG, which matters when an agent loops
• Community-maintained by a single developer; support and roadmap depend on the maintainer's availability

Kagi MCP Server

• Requires a paid Kagi API key with pay-per-use billing; not usable free
• FastGPT and Universal Summarizer tools are currently absent (rewrite in progress)
• Python + uv toolchain assumption raises the bar vs. a single-binary MCP server
• Small surface area: no built-in caching, batching, or spend controls beyond Kagi's invoice cap
• Hosted endpoint means your queries and Bearer token traverse Kagi infra, not a concern for everyone but worth noting for regulated workloads

Website

DuckDuckGo MCP Server

github.com

Kagi MCP Server

github.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.