Is the hyperresearch MCP server actively maintained?

The hyperresearch MCP server was last committed 9d ago and has 15 contributors. Issue health: 54% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

hyperresearch MCP Server

Name: jordan-gibbs/hyperresearch
Rating: 4.4 (1 reviews)
Author: jordan-gibbs

jordan-gibbs/hyperresearch

Score: 84.6 → 0% Rank #978 MCP Server

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Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai

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

Overview

jordan-gibbs/hyperresearch is a Python tool licensed under MIT. Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai Topics: agents, agentskills, claude-code, deep-research, deep-research-agent, codex, deepresearch, research, research-agent, research-tools, codex-plugin, codex-skill, citations, mcp-server.

Ranked #978 out of 24846 indexed tools.

In the top 4% of all indexed tools.

Has 3,847 GitHub stars.

Has 15 contributors.

Ecosystem

Python MIT

agentsagentskillsclaude-codedeep-researchdeep-research-agentcodexdeepresearchresearchresearch-agentresearch-toolscodex-plugincodex-skillcitationsmcp-server

Score Breakdown

Stars 15% 3,847

3,847 stars → well-known project

Freshness 25% 9d ago

Last commit 9d ago → recently updated

Issue Health 25% 54%

37/69 issues closed → decent issue management

Contributors 10% 15

15 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 380

Description Detailed

License MIT

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

How to Improve

Dependents medium impact

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

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Markdown

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Details

Stars: 3,847
Forks: 380
Open Issues: 32
Closed Issues: 37
Contributors: 15
Dependents: —
Language: Python
License: MIT
Last Commit: 9d ago

Matched Queries

topic:mcp-server

From the README

<h3 align="center">The Most Powerful Deep Research Harness: a deep research skill for Claude Code and OpenAI Codex</h3>

<p align="center">
  <a href="https://pypi.org/project/hyperresearch/"></a>
  <a href="https://pypi.org/project/hyperresearch/"></a>
  <a href="LICENSE"></a>
  <a href="https://github.com/jordan-gibbs/hyperresearch"></a>
</p>
<p align="center">
  <a href="#install"></a>
  <a href="#codex"></a>
  <a href="https://hyperresearch.ai/?utm_source=github&utm_medium=readme"></a>
</p>

---

**Hyperresearch turns Claude Code into a deep research agent: one that currently leads the DeepResearch-Bench RACE leaderboard (benchmarked internally). It runs in OpenAI Codex too.** A tier-adaptive 16-step pipeline takes one prompt and produces an adversarially-audited report with full source provenance. Every source it reads lands in a persistent, searchable vault, so each session starts smarter than the last.

**Don't want to run it locally?** [Hyperresearch](https://hyperresearch.ai/?

Read full README on GitHub →