interdeep

interdeep

An MCP server for deep research that extracts clean text from web pages using hybrid extraction strategies and compiles findings into structured markdown reports. It provides tools for single and batch URL content extraction with optional Playwright support for JavaScript-heavy sites.

Category
Visit Server

README

interdeep

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.

Installation

# 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

Usage

Slash Command

/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

MCP Tools (programmatic)

The plugin exposes 4 MCP tools that any agent can call:

  • extract_content — Extract clean text from a single URL
  • extract_batch — Extract from multiple URLs concurrently
  • compile_report — Compile findings into a structured markdown report
  • research_status — Check extraction capabilities (trafilatura, Playwright availability)

Architecture

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

Design Decisions

  • Extraction + orchestration only — interdeep does not own search. Search providers come from companion plugins (interject, interflux/exa).
  • trafilatura-first — Fast path handles most pages. Playwright is an optional fallback for JavaScript-heavy sites, not a requirement.
  • Host-agent-as-brain — MCP tools are stateless utilities. Research intelligence lives in the skill definition and agent prompts, executed by Claude as the host agent.
  • Graceful degradation — Every component works standalone. Missing companion plugins reduce capability, they do not break the pipeline.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured