By mistakeknot
Deep research plugin — content extraction and research orchestration via MCP tools.
Decompose a research query into targeted sub-queries with source routing
Assess source credibility and relevance for research findings
Assemble evaluated research findings into a structured markdown report
Deep research plugin for Claude Code. Extracts clean content from web pages and orchestrates multi-phase research sessions that produce structured markdown reports.
interdeep provides the content extraction backbone for research workflows. It pairs with companion plugins like interject (search) and interknow (knowledge storage) for a complete research pipeline, but works standalone for extraction and report compilation.
# Install from the Interverse marketplace
claude plugin install interdeep
# Install with browser extraction support (optional)
cd ~/.claude/plugins/interdeep && uv pip install -e ".[browser]" && playwright install chromium
/interdeep:research what are the best practices for MCP server design
/interdeep:research quick trafilatura vs readability comparison
/interdeep:research deep autonomous agent architectures and failure modes
The plugin exposes 4 MCP tools that any agent can call:
extract_content — Extract clean text from a single URLextract_batch — Extract from multiple URLs concurrentlycompile_report — Compile findings into a structured markdown reportresearch_status — Check extraction capabilities (trafilatura, Playwright availability)src/interdeep/
server.py # FastMCP server — 4 tools
extraction/
trafilatura_ext.py # Fast extraction via trafilatura
playwright_ext.py # Browser fallback for JS pages
hybrid.py # Router: trafilatura-first strategy
reports/
markdown.py # Structured report compiler
skills/deep-research/ # 5-phase research orchestration protocol
agents/ # research-planner, source-evaluator, report-compiler
commands/research.md # /research slash command
MIT
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
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