De Anthropocentric Research Engine
800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.
What is De Anthropocentric Research Engine?
De Anthropocentric Research Engine is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 800+ pure-markdown skills for autonomous ai research. non-linear orchestration with backtracking, 4-layer military hierarchy (campaign → strategy → tactic → sop), 5 mcp integrations. the ai is the res...
800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 800+ pure-markdown skills for autonomous AI research. Non-li
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx de-anthropocentric-research-engineConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use De Anthropocentric Research Engine
The De-Anthropocentric Research Engine (DARE) is an MCP-integrated autonomous research framework that gives AI agents 800+ pure-markdown research skills organized in a four-layer military hierarchy (Campaign → Strategy → Tactic → SOP). It connects to Semantic Scholar, arXiv via AlphaXiv, web search providers (Brave, Tavily), an Obsidian-compatible knowledge vault, and web scraping via Apify, enabling non-linear multi-step literature reviews, hypothesis generation, and knowledge graph construction. Researchers use it to delegate entire research campaigns to AI — defining direction while the agent handles paper discovery, citation analysis, web evidence gathering, and synthesis autonomously.
Prerequisites
- Node.js 18+ and npm installed
- Git to clone the repository
- Claude Code or another MCP-compatible client that supports multi-tool sessions
- API keys for the search providers you want to use: BRAVE_API_KEY (Brave Search), TAVILY_API_KEY (Tavily), SS_API_KEY (Semantic Scholar, optional for public API), APIFY_TOKEN (web scraping, optional)
- An Obsidian vault or empty directory for the knowledge base (set as VAULT_ROOT)
Clone the repository
Clone DARE locally. It is not distributed as an npm package — the full skill library must be present on disk.
git clone https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git
cd de-anthropocentric-research-engineInstall dependencies
Install the Node.js dependencies required to run the MCP server and skill loader.
npm installCreate your MCP configuration file
Copy the example MCP config and fill in your API keys and vault path. This file tells the MCP server which external integrations to activate.
cp mcp.example.json .mcp.jsonEdit .mcp.json with your credentials
Open .mcp.json and fill in the environment variables for the services you have access to. At minimum, add VAULT_ROOT and one search provider key.
{
"mcpServers": {
"dare": {
"command": "node",
"args": ["./index.js"],
"env": {
"SS_API_KEY": "your_semantic_scholar_key",
"VAULT_ROOT": "/path/to/your/obsidian/vault",
"BRAVE_API_KEY": "your_brave_search_key",
"TAVILY_API_KEY": "your_tavily_key",
"APIFY_TOKEN": "your_apify_token"
}
}
}
}Add DARE to your Claude Code MCP config
Point Claude Code at the .mcp.json file in the DARE directory, or merge the server entry into your existing Claude Code MCP configuration.
Launch a research campaign
Start a Claude Code session in the DARE directory and invoke the research engine with your research question. The agent will run through Campaign → Strategy → Tactic → SOP phases autonomously.
De Anthropocentric Research Engine Examples
Client configuration
MCP server entry for DARE, run from its cloned directory with all integration API keys configured.
{
"mcpServers": {
"dare": {
"command": "node",
"args": ["/path/to/de-anthropocentric-research-engine/index.js"],
"env": {
"SS_API_KEY": "your_semantic_scholar_key",
"VAULT_ROOT": "/path/to/your/vault",
"BRAVE_API_KEY": "your_brave_search_key",
"TAVILY_API_KEY": "your_tavily_key",
"APIFY_TOKEN": "your_apify_token"
}
}
}
}Prompts to try
Use these prompts to kick off autonomous research campaigns or execute pre-built research specifications.
- "I'm interested in improving LLM reasoning faithfulness — generate a research campaign and begin executing it"
- "Search Semantic Scholar for recent papers on mixture-of-experts scaling and summarize the top 10 by citation count"
- "Find arXiv papers from the last 6 months on mechanistic interpretability and create a knowledge graph in my vault"
- "Run a literature review on retrieval-augmented generation and identify open research questions"
- "Search the web for evidence of LLM-assisted drug discovery and write a structured summary with citations"Troubleshooting De Anthropocentric Research Engine
npm install fails or node modules are missing
Ensure Node.js 18+ is installed (`node --version`). If you see peer dependency errors, try `npm install --legacy-peer-deps`. Delete node_modules and package-lock.json then retry if the install is partially broken.
Semantic Scholar or Brave Search tools return authentication errors
Verify the API keys in .mcp.json are correct and not expired. Semantic Scholar's public API works without a key but is rate-limited; an SS_API_KEY from their researcher program raises the limit. Brave Search requires a paid API subscription.
Knowledge vault writes are failing or VAULT_ROOT not found
Set VAULT_ROOT to an absolute path of an existing directory (`mkdir -p /path/to/vault`). The vault directory must be writable by the process running the MCP server. Relative paths may not resolve correctly.
Frequently Asked Questions about De Anthropocentric Research Engine
What is De Anthropocentric Research Engine?
De Anthropocentric Research Engine is a Model Context Protocol (MCP) server that 800+ pure-markdown skills for autonomous ai research. non-linear orchestration with backtracking, 4-layer military hierarchy (campaign → strategy → tactic → sop), 5 mcp integrations. the ai is the researcher — you set the direction. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install De Anthropocentric Research Engine?
Follow the installation instructions on the De Anthropocentric Research Engine GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with De Anthropocentric Research Engine?
De Anthropocentric Research Engine works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is De Anthropocentric Research Engine free to use?
Yes, De Anthropocentric Research Engine is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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