SearChat — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by yokingma · MCP Server · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is SearChat safe to install? View the security audit →

About SearChat

🔍 SearChat AI-powered conversational search engine Multi-model integration Deep Research support English 日本語 🌟 Project Overview SearChat is a modern AI-powered conversational search engine built with Turborepo monorepo architecture, integrating Node.js + Koa backend and Vue 3 + TypeScript frontend. 🎯 Key Features: [x] 🤖 Multi-model Support - Compatible with OpenAI, Anthropic, Gemini APIs [x] 🔍 Multiple Search Engines - Support for Bing, Google, SearXNG and more [x] 💬 Conversatio

aianthropicdeepresearchgeminillmmcpopenairagsearchsearxng

Quick Facts

Stars1,062
Forks184
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63.0333931853276/100
Open Issues3
Last Updated2026-09-01
Created2024-03-08
Platformsdocker, gemini, mcp, node
Est. Tokens~17k

Compatible Skills

These tools work well together with SearChat for enhanced workflows:

  • SearChat — semantic(1.00)+shared_fw(anthropic,openai)+rare_topics+same_lang+similar_pop+shared_platform (90%)
  • gpt-po — semantic(0.21)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (73%)
  • Notate — semantic(0.20)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (73%)
  • GPTRouter — semantic(0.16)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (72%)
  • Vane — semantic(0.25)+complementary+shared_fw(anthropic,openai)+rare_topics+same_lang+shared_platform (69%)

SearChat alternative? Top 6 similar tools

Looking for a SearChat alternative? If you're comparing SearChat with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • SearChat by sear-chat · ⭐ 1.0k

    Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG

  • argo by xark-argo · ⭐ 827

    ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloa

  • Unity-MCP by IvanMurzak · ⭐ 4.3k

    AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici

  • go-agent by Protocol-Lattice · ⭐ 254

    An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for

  • casibase by casibase · ⭐ 4.5k

    ⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-a

  • py-gpt by szczyglis-dev · ⭐ 1.9k

    Desktop AI Assistant powered by GPT-6, GPT-5, Gemini, Claude, Ollama, Grok, DeepSeek, Perplexity, Bielik, chat

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Frequently Asked Questions

What is SearChat?

SearChat is Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG, Docker. AI对话式搜索引擎,支持DeepResearch, 支持OpenAI/Anthropic/VertexAI/Gemini接口、聚合搜索引擎SearXNG,支持. It is categorized as a MCP Server with 1.1k GitHub stars.

What programming language is SearChat written in?

SearChat is primarily written in TypeScript. It covers topics such as ai, anthropic, deepresearch.

How do I install or use SearChat?

You can find installation instructions and usage details in the SearChat GitHub repository at github.com/yokingma/SearChat. The project has 1.1k stars and 184 forks, indicating an active community.

What license does SearChat use?

SearChat is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to SearChat?

The top alternatives to SearChat on Agent Skills Hub include SearChat, argo, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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