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Minimax Web Search

  • 169 installs
  • 15 repo stars
  • Updated June 20, 2026
  • imsus/pi-extension-minimax-coding-plan-mcp

Give coding agents live web search through a Minimax MCP extension so plans, fixes, and research steps use current docs instead of stale training data.

About

Adds a Minimax-powered web search tool to Pi extension MCP workflows so coding agents can query the open web during planning and implementation, grounding answers in up-to-date documentation, APIs, and community fixes instead of hallucinated defaults.

  • Minimax MCP search
  • Pi extension hook
  • Live web retrieval
  • Coding-plan context
  • Agent research augmentation

Minimax Web Search by the numbers

  • 169 all-time installs (skills.sh)
  • Ranked #3,124 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-web-search

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Listed on Skillselion
Installs169
repo stars15
Last updatedJune 20, 2026
Repositoryimsus/pi-extension-minimax-coding-plan-mcp

What it does

Give coding agents live web search through a Minimax MCP extension so plans, fixes, and research steps use current docs instead of stale training data.

Files

SKILL.mdMarkdownGitHub ↗

MiniMax Web Search Skill

Use this skill when you need to find current, real-time, or authoritative information that may have changed since my knowledge cutoff.

How to Use

Call the web_search tool directly with a query:

web_search({ query: "your search query" })

When to Use

Use web_search when:

  • Current events: News, recent developments, latest releases
  • Fact verification: Checking if information is still accurate
  • Technical updates: New versions, patches, breaking changes
  • Dynamic content: Prices, availability, schedules
  • Authoritative sources: Official documentation, API references

When NOT to Use

Do NOT use web_search when:

  • General knowledge I likely know (historical facts, basic concepts)
  • Coding help for common patterns (unless asking about latest practices)
  • Opinion-based questions without specific recent information needs
  • Files already in context or accessible via read tool

Usage

web_search({
  query: "your search query here"
})

API Details

Endpoint: POST {api_host}/v1/coding_plan/search

Request Body:

{
  "q": "your search query"
}

Response Format:

{
  "organic": [
    {
      "title": "Result Title",
      "link": "https://example.com",
      "snippet": "Brief description...",
      "date": "2025-01-15"
    }
  ],
  "related_searches": [
    {"query": "related query 1"},
    {"query": "related query 2"}
  ],
  "base_resp": {
    "status_code": 0,
    "status_msg": "success"
  }
}

Tips for Better Results

1. Be specific: "TypeScript 5.4 new features" vs "TypeScript updates" 2. Include context: "React 19 server components vs client components" 3. Use recent keywords: "2024" or "2025" when timing matters 4. Target authoritative sources: Include product names, official sites 5. Use 3-5 keywords for optimal results

Examples

Good Queries

  • "Node.js 22 new features"
  • "Claude Code vs pi coding agent 2025"
  • "React 19 release date official"
  • "Docker desktop alternatives 2024"
  • "TypeScript 5.4 generics tutorial"

Poor Queries

  • "how to use TypeScript" (too general)
  • "is Python popular" (opinion, not time-sensitive)
  • "help me debug my code" (not a search task)
  • "best programming language" (opinion-based)

Response Format

Results include:

  • Titles and URLs for each result
  • Snippets with relevant context
  • Dates when available
  • Related searches for follow-up queries

You can use the suggestions to refine your search or ask the user which direction they'd like to explore.

Error Handling

  • Status code 1004: Authentication error - check API key and region
  • Status code 2038: Real-name verification required
  • Other errors: Check Trace-Id in error message for support

Related skills

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