Built by

Abhijit tewari

developer-toolsappdraft0 upvotes

Create a production-ready MCP named **ResearchHub** that acts as an AI-powered web research assistant. The MCP should perform intelligent web searches, aggregate information from multiple sources, compare conflicting information, summarize findings, and present results in an interactive widget. The project should be modular, scalable, and demonstrate advanced MCP capabilities including tool calling, widgets, state management, and conversational memory. ## Objective The assistant should help…

Elevator pitch AI-powered web research assistant that aggregates, compares, and summarizes findings across multiple sources in real time.

Industry Developer tools & research automation.

Problem

  • Manual web research is time-consuming and fragmented across tabs.
  • Conflicting information across sources creates confusion and verification overhead.

Solution

  • Intelligent multi-source aggregation with automatic conflict detection and resolution.
  • Interactive summaries with source attribution and confidence scoring.

Tools

  • web-search: Query multiple engines, return ranked results with metadata.
  • source-compare: Analyze conflicting claims, return reconciliation analysis.
  • content-extract: Fetch and parse full articles, return structured summaries.
  • fact-verify: Cross-reference claims against trusted sources, return confidence scores.
  • research-memory: Store and retrieve past queries, return contextual insights.

Widgets

  • research-dashboard: Interactive results grid with source filtering, comparison view, and export options.

Conversation starters

  • "Compare the latest AI safety approaches across three research institutions."
  • "Find conflicting claims about this topic and explain the differences."
Create a production-ready MCP named **ResearchHub** that acts as an AI-powered web research assistant. The MCP should perform intelligent web searches, aggregate information from multiple sources, compare conflicting information, summarize findings, and present results in an interactive widget. The project should be modular, scalable, and demonstrate advanced MCP capabilities including tool calling, widgets, state management, and conversational memory. ## Objective The assistant should help… — MCP App by Abhijit tewari | NitroStack | NitroStack