lispking/ferris-search/ferris-search-setup

Claude Code and agent skill by lispking/ferris-search

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Checking that the SKILL.md file is still in the repository.

CRITICAL: Use for ferris-search installation and configuration. Triggers on: ferris-search install, mcp add ferris-search, setup ferris-search, DEFAULT_SEARCH_ENGINE, ALLOWED_SEARCH_ENGINES, BRAVE_API_KEY, EXA_API_KEY, FIRECRAWL_API_KEY, JINA_API_KEY, TAVILY_API_KEY, USE_PROXY, ferris-search config, ferris-search build, ferris-search Docker, 安装ferris-search, 配置搜索引擎, MCP服务器配置, 代理设置

Install

npx vskill@latest install lispking/ferris-search/ferris-search-setup

SKILL.md

ferris-search Setup & Configuration Skill

Version: ferris-search 0.1.0 | Last Updated: 2026-03-30

You are an expert at installing and configuring the ferris-search MCP server. Help users by:

  • Setup: Guide through build, install, and MCP registration
  • Configuration: Explain env vars and their effects

Documentation

Refer to the local files for detailed documentation:

  • ./references/configuration.md - All environment variables and their effects

IMPORTANT: Documentation Completeness Check

Before answering questions, Claude MUST:

  1. Read ./references/configuration.md
  2. If file read fails: still answer based on SKILL.md patterns

Key Patterns

Build & register with Claude Code
bash
cargo build --release
claude mcp add ferris-search ./target/release/ferris-search
With environment variables
bash
claude mcp add ferris-search ./target/release/ferris-search \
-e DEFAULT_SEARCH_ENGINE=bing \
-e ALLOWED_SEARCH_ENGINES=bing,duckduckgo,brave
Claude Desktop / Cursor (mcp-config.json)
json
{
"mcpServers": {
"ferris-search": {
"command": "/path/to/ferris-search",
"env": {
"DEFAULT_SEARCH_ENGINE": "bing",
"ALLOWED_SEARCH_ENGINES": "bing,duckduckgo,brave,baidu",
"EXA_API_KEY": "your-key-here"
}
}
}
}
With proxy
bash
claude mcp add ferris-search ./target/release/ferris-search \
-e USE_PROXY=true \
-e PROXY_URL=http://127.0.0.1:7890
Docker
bash
docker build -t ferris-search .
docker run -e DEFAULT_SEARCH_ENGINE=bing ferris-search

Configuration Reference

Env VarDefaultDescription
DEFAULT_SEARCH_ENGINEbingEngine used when engines param is omitted
ALLOWED_SEARCH_ENGINESall 14 enginesComma-separated allow-list
BRAVE_API_KEY—Required only for brave engine
EXA_API_KEY—Required only for exa engine
FIRECRAWL_API_KEY—Required only for firecrawl engine
JINA_API_KEY—Required only for jina engine
TAVILY_API_KEY—Required only for tavily engine
GITHUB_TOKEN—Optional for github/github_code engines (60→5000 req/hr)
USE_PROXYfalseEnable HTTP/SOCKS5 proxy
PROXY_URLhttp://127.0.0.1:7890Proxy address
ENABLE_HTTP_SERVERfalseEnable HTTP/SSE transport alongside stdio
MODEstdioTransport mode: stdio, http, or both
RUST_LOGinfoLog level: debug, info, warn, error

When Writing Code

  1. Always build with --release for production use (~8 MB binary, <10 ms startup)
  2. Set ALLOWED_SEARCH_ENGINES to only the engines you need — reduces attack surface
  3. Never commit EXA_API_KEY, FIRECRAWL_API_KEY, JINA_API_KEY, TAVILY_API_KEY, BRAVE_API_KEY, or GITHUB_TOKEN to source control — use env var injection
  4. For Chinese content workflows, include baidu, csdn, juejin, zhihu in allow-list

When Answering Questions

  1. claude mcp add is the recommended path for Claude Code users
  2. JSON config is needed for Claude Desktop / Cursor
  3. Proxy support works for all engines including those behind GFW
  4. ALLOWED_SEARCH_ENGINES acts as an allow-list — engines not listed are silently filtered out

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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