Is the AI_RESEARCH MCP server actively maintained?

The AI_RESEARCH MCP server was last committed 1d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

AI_RESEARCH MCP Server

Name: Zhouyeming1/AI_RESEARCH
Rating: 3.1 (1 reviews)
Author: Zhouyeming1

Zhouyeming1/AI_RESEARCH

Score: 51.4 Rank #13935 Agent Framework

Are you the maintainer of Zhouyeming1/AI_RESEARCH? Claim this listing →

Hand-written (zero LangChain) LLM+RAG+Agent research copilot for scientific literature. PyMuPDF paper ingestion, BGE-M3/BM25 hybrid retrieval with RRF fusion & query expansion, citation-grounded ReAct agents with Reflexion, long-term memory & multi-agent debate over MCP tools. 85 deterministic offline tests; Recall/MRR/nDCG + LLM-as-Judge eval.

Add AgentRank to Claude Code Discover and compare tools like Zhouyeming1/AI_RESEARCH — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Zhouyeming1/AI_RESEARCH is a Python tool. Hand-written (zero LangChain) LLM+RAG+Agent research copilot for scientific literature. PyMuPDF paper ingestion, BGE-M3/BM25 hybrid retrieval with RRF fusion & query expansion, citation-grounded ReAct agents with Reflexion, long-term memory & multi-agent debate over MCP tools. 85 deterministic offline tests; Recall/MRR/nDCG + LLM-as-Judge eval.

Ranked #13935 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/Zhouyeming1--AI_RESEARCH)](https://agentrank-ai.com/tool/Zhouyeming1--AI_RESEARCH/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/Zhouyeming1--AI_RESEARCH/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/Zhouyeming1--AI_RESEARCH" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="Zhouyeming1/AI_RESEARCH"></script>

Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: —
Last Commit: 1d ago

Matched Queries

topic:mcp

See alternatives to Zhouyeming1/AI_RESEARCH → Browse agent-framework category → Compare Zhouyeming1/AI_RESEARCH → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →