# Hyperresearch (MCP server)

> Hyperresearch is an MCP server that adds search and knowledge tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Convert Claude Code or Codex into the most intelligent Deep Research Agent. It has 3,794 GitHub stars, is released under the MIT license and runs locally with uvx hyperresearch.

The Most Powerful Deep Research Harness: a deep research skill for Claude Code and OpenAI Codex 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.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/jordan-gibbs/hyperresearch |
| GitHub stars | 3,794 |
| License | MIT |
| Language | Python |
| Transport | stdio |
| Packages | pypi: hyperresearch |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | v0.12.0 (Sep 24, 2026) |
| Last commit | Sep 30, 2026 |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "hyperresearch": {
      "command": "uvx",
      "args": [
        "hyperresearch"
      ]
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --transport stdio hyperresearch -- uvx hyperresearch
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "hyperresearch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hyperresearch"
      ]
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "hyperresearch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hyperresearch"
      ]
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Similar MCP servers

- [Context7](https://appsgit.com/mcp-servers/context7): Up-to-date code docs for any prompt. (62,752 stars, MIT, needs API key)
- [FunASR](https://appsgit.com/mcp-servers/funasr): Transcribe local audio with FunASR and SenseVoice using private, on-device inference. (20,596 stars, MIT)
- [Bifrost](https://appsgit.com/mcp-servers/bifrost): Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. (8,591 stars, Apache-2.0)
- [Honcho](https://appsgit.com/mcp-servers/honcho): Memory that reasons: continual learning for stateful agents. (7,494 stars, AGPL-3.0, needs API key)
- [Semble](https://appsgit.com/mcp-servers/semble): Fast and Accurate Code Search for Agents. (6,185 stars, MIT)
- [Exa](https://appsgit.com/mcp-servers/exa): Connect AI agents to Exa for web search, content fetching, and multi-step research. (5,088 stars, MIT, official)

---

Canonical page: https://appsgit.com/mcp-servers/hyperresearch
Source: appsgit (https://appsgit.com), the app store for github. Data from the GitHub API, refreshed nightly.
Machine access: JSON API https://appsgit.com/api/v1/apps (OpenAPI: https://appsgit.com/openapi.json), MCP server https://mcp.appsgit.com/mcp, full index https://appsgit.com/llms-full.txt.