Model Context Protocol
Protocol for communicating between LLMs and applications
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- AI Deployment (1)
- Software Architecture (1)
- Artificial Intelligence (1)
- Dataset Development (1)
- Human-Computer Interaction (1)
- AI Security (1)
- Cybersecurity Vulnerabilities (1)
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Model Context Protocol (3) · AI agents (1) · deployment (1) · design patterns (1) · production (1) · scalability (1) · reliability (1) · HumanMCP (1) · Tool Retrieval (1) · AI Benchmarking (1) · Human-Like Queries (1) · Dataset Development (1) · Large Language Models (1) · User Personas (1) · Indirect Prompt Injection (1) · AdapTools (1) · LLM Security (1) · AI Vulnerabilities (1) · Adversarial Attacks (1) · AI Safety (1)
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📰 Related News (3)
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🇺🇸 Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol
arXiv:2603.13417v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) standardizes how AI agents discover and invoke external tools, wit...
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🇺🇸 HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized to...
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🇺🇸 AdapTools: Adaptive Tool-based Indirect Prompt Injection Attacks on Agentic LLMs
arXiv:2602.20720v1 Announce Type: cross Abstract: The integration of external data services (e.g., Model Context Protocol, MCP) has made large langua...
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Design Patterns · 1 shared articles