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web-research-toolkit

v0.1.0

Published

Agent installer, prompts, and templates for web-research-mcp

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Links

Git

Maintainers

nachoflizaurnachoflizaur

Keywords

mcpai-agentsweb-researchclaude-codeopencodeai-toolsprompt-engineeringtoolkit

Readme

Web Research Toolkit

Pre-built AI agents and skills for web research, compatible with Claude Code and OpenCode.

One command. Fully configured. Start researching.

npm License: MIT Node.js

Table of Contents

Quick Start

npx web-research-toolkit install opencode

or

npx web-research-toolkit install claude-code

That's it. The installer configures the MCP server, installs agents, and sets up skills — no separate setup needed.

What It Does

Installs pre-built AI agents and skills into your project for web research:

  • Agents — Autonomous subagents with defined workflows (quick search and deep research)
  • Skills — On-demand expertise that agents load when needed (search methodology, research workflow)
  • MCP server — Automatically configured to provide search and content extraction tools

Everything is installed locally in your project directory. One command, zero configuration.

What Gets Installed

| File | Claude Code | OpenCode | |------|:-----------:|:--------:| | MCP server config | .mcp.json | opencode.json | | Plugin manifest | .claude-plugin/plugin.json | — | | Web Searcher agent | agents/web-searcher.md | .opencode/agents/web-searcher.md | | Deep Researcher agent | agents/deep-researcher.md | .opencode/agents/deep-researcher.md | | Web Search skill | skills/web-search/SKILL.md | .opencode/skills/web-search/SKILL.md | | Deep Research skill | skills/deep-research/SKILL.md | .opencode/skills/deep-research/SKILL.md |

Agents

web-searcher

Quick web search agent. Runs 1-3 targeted queries and returns concise answers with source URLs.

Good for:

  • Factual lookups ("What's the latest version of React?")
  • Finding documentation or API references
  • Quick answers with sources

How it works: Formulates focused search queries, calls multi_search, and returns URLs, snippets, or direct answers. Fast and lightweight.

deep-researcher

Comprehensive multi-source research agent. Expands a research question into 10 diverse queries, searches all in parallel, fetches every result page, and synthesizes a detailed report.

Good for:

  • Complex technical questions ("How do different ORMs handle connection pooling?")
  • Comparative analysis ("Pros and cons of server-side rendering frameworks")
  • Topics requiring multiple sources and synthesis

How it works: Generates diverse search queries, runs them all via multi_search, fetches full page content with fetch_pages, then synthesizes findings into a structured report with citations and confidence levels.

Skills

Skills are methodology guides that agents load on demand.

| Skill | What It Covers | |-------|---------------| | web-search | Search methodology — when to search vs. fetch, query optimization, result handling | | deep-research | Multi-phase research workflow — query expansion, source evaluation, synthesis |

Skills are loaded automatically when an agent determines they're relevant to the current task.

Architecture

Prompts are maintained once and work across platforms:

  • Canonical prompts — Pure instructions, no platform-specific frontmatter
  • Platform templates — Frontmatter and metadata specific to each platform (Claude Code, OpenCode)
  • Installer — Assembles frontmatter + prompt body at install time, replacing {{placeholders}} with metadata

Adding support for a new platform only requires new templates — the prompt content stays shared.

The MCP Server

This toolkit uses web-research-mcp under the hood. The installer configures it automatically — you don't need to set it up separately.

If you want just the MCP server without agents, see the web-research-mcp package.

License

MIT