Cogniresearch Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Cogniresearch Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An MCP (Model Context Protocol) server for academic research combining local document search with Semantic Scholar API integration.
# Clone and navigate to project
cd cogniresearch-mcp
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# (Optional) Set your Semantic Scholar API key for higher rate limits
cp .env.example .env
# Edit .env and add your API keyclaude mcp add cogniresearch -- python -m cogniresearch.serverOr add to your Claude Code .mcp.json:
{
"mcpServers": {
"cogniresearch": {
"command": "python",
"args": ["-m", "cogniresearch.server"],
"cwd": "/path/to/cogniresearch-mcp"
}
}
}| Tool | Description |
|---|---|
search_papers | Search Semantic Scholar for academic papers |
get_paper_details | Get detailed information about a specific paper |
search_library | Semantic search over your local documents |
get_context | Retrieve formatted context for a topic |
list_personas | List available system prompt personas |
set_persona | Switch between personas (default, critical, synthesis) |
Place your documents in the ./documents directory (supported formats: .md, .txt, .pdf).
The first search will automatically build the vector index.
cogniresearch-mcp/
├── cogniresearch/
│ ├── __init__.py # Package init
│ ├── server.py # MCP server with tool definitions
│ ├── config.py # Configuration management
│ ├── rag.py # Local RAG implementation
│ └── semantic_scholar.py # Semantic Scholar API client
├── config/
│ └── prompts.yaml # System prompt personas
├── tests/
│ └── test_server.py # Basic tests
├── requirements.txt # Python dependencies
└── README.md # This fileGeneral literature search and citation management with professional, precise tone.
Adversarial evaluation of research design and statistical validity.
Helps integrate sources into academic prose with proper citation formatting.
requirements.txt for full dependenciesMIT License - see LICENSE file for details.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.