Model Context Protocol (MCP)
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"model-context-protocol-survey": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
The Model Context Protocol (MCP) provides a structured, standardized way for Large Language Models (LLMs) to seamlessly interact with external tools, resources, and systems—much like how APIs and Language Server Protocols revolutionized application integration. MCP empowers the next generation of agentic AI by enabling autonomous, secure, and context-rich interactions.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in education
A Model Context Protocol server for searching and analyzing arXiv papers
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
MCP server for NotebookLM - Let your AI agents (Claude Code, Codex) research documentation directly with grounded, citation-backed answers from Gemini. Persistent auth, library management, cross-client sharing. Zero hallucinations, just your knowledge base.
Wikipedia MCP — wraps Wikipedia REST API (free, no auth)
MCP Security Weekly
Get CVE alerts and security updates for Model Context Protocol Survey and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
The Model Context Protocol (MCP) provides a structured, standardized way for Large Language Models (LLMs) to seamlessly interact with external tools, resources, and systems—much like how APIs and Language Server Protocols revolutionized application integration. MCP empowers the next generation of agentic AI by enabling autonomous, secure, and context-rich interactions.
| Feature | Traditional APIs | Model Context Protocol (MCP) |
|---|---|---|
| Tool Usage | Manual, bespoke code | Dynamic, standardized calls |
| Prompt Interaction | Basic text-based | Structured and context-aware |
| Context Handling | Limited | Integrated, built-in |
| Discovery | Manual | Dynamic and introspective |
| Security | Varies widely | Enforced mechanisms |
Fig. 1: MCP Client-Server Architecture.
resources/list and URI templates.prompts/list and prompts/get.Fig. 2: Tools provide active invocation using defined JSON schemas.
tools/list and invoked using tools/call.Fig. 3: Secure and contextual LLM completions via MCP sampling.