{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_e5b6mmvjs27h","handle":"iflow-mcp-mcherukara-claude-deep-research","url":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research","markdown":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcherukara-claude-deep-research","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcherukara-claude-deep-research/status","claim":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcherukara-claude-deep-research/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcherukara-claude-deep-research/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcherukara-claude-deep-research/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcherukara-claude-deep-research","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcherukara-claude-deep-research","summary":"An MCP server that provides comprehensive research capabilities with web and academic search","description":"# Claude Deep Research\n\nAn MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude and other MCP-compatible AI assistants. This server integrates web and academic search functionality, allowing AI models to access current information from multiple sources, follow relevant links, and provide well-structured research results.\n\n## Overview\n\nClaude Deep Research is a powerful research tool that extends the capabilities of LLMs by providing:\n\n1. **Web search** integration through DuckDuckGo\n2. **Academic research** access through Semantic Scholar \n3. **Content extraction** from web pages\n4. **Comprehensive analysis** with structured formatting\n5. **Visualization guidance** for data representation\n\nThe server follows MCP design principles to provide a seamless integration with Claude and other AI assistants.\n\n## Features\n\n- **Unified Research Tool**: Single interface for web and academic information\n- **Multi-Source Integration**: Combines information from various sources into cohesive research\n- **Content Extraction**: Pulls relevant information from web pages\n- **Academic Source Discovery**: Finds scholarly articles related to your topic\n- **Smart Formatting**: Properly formats research with citations\n- **Visual Framework**: Provides guidance for creating effective data visualizations\n- **Structured Analysis**: Organizes research using academic methodologies\n\n![Research Workflow](./workflow.png)\n\n## Installation\n\n### Prerequisites\n\n- Python 3.8 or higher\n- pip or uv package manager\n\n### Quick Install\n\n```bash\n# Using pip\npip install mcp httpx beautifulsoup4\n\n# Clone the repository\ngit clone https://github.com/yourusername/claude-deep-research.git\n```\n\n## Configuration\n\nThe server works out of the box with default settings, but you can modify the following parameters in deep_research.py for customization:\n\n```python\n# Configuration\nUSER_AGENT = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrom…","publisher":{"name":"mcherukara","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcherukara-claude-deep-research","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"derived"},{"slug":"research.web","name":"Deep Web Research","confidence":1,"provenance":"derived"}],"categories":["dev","research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_mcherukara-claude-deep-research","registry":"pypi","observedAt":"2026-11-03T07:25:57.251Z","publishedAt":"2026-02-07T04:23:54.846584Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcherukara-claude-deep-research","url":"https://pypi.org/project/iflow-mcp_mcherukara-claude-deep-research/","firstSeenAt":"2026-09-09T19:25:15.935Z","fetchedAt":"2026-11-03T07:24:40.407Z","normalizedAt":"2026-11-03T07:24:40.407Z"}]},"firstSeenAt":"2026-09-09T19:25:15.935Z","updatedAt":"2026-11-03T07:25:57.251Z"}