mlsanityData to 7 Oct 2026

MCP-in-SoS: Risk assessment framework for open-source MCP servers

arXiv 2603.10194 ↗First posted 10 Mar 2026cs.CR cs.AIcited by 1

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

Model Context Protocol (MCP) servers have rapidly emerged over the past year as a widely adopted way to enable Large Language Model (LLM) agents to access dynamic, real-world tools. As MCP servers proliferate and become easy to adopt via open-source releases, understanding their security risks becomes essential for dependable production agent deployments. Recent work has developed MCP threat taxonomies, proposed mitigations, and demonstrated practical attacks. However, to the best of our knowledge, no prior study has conducted a systematic, large-scale assessment of weaknesses in open-source MCP servers. Motivated by this gap, we apply static code analysis to identify Common Weakness Enumeration (CWE) weaknesses and map them to common attack patterns and threat categories using the MITRE Common Attack Pattern Enumerations and Classifications (CAPEC) to ground risk in real-world threats. We then introduce a risk-assessment framework for the MCP landscape that combines these threats using a multi-metric scoring of likelihood and impact. Our findings show that many open-source MCP servers contain exploitable weaknesses that can compromise confidentiality, integrity, and availability, underscoring the need for secure-by-design MCP server development.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 18 of its 33 references that are in the map. First posted on arXiv 10 Mar 2026.

Builds on

18 of 33 references.

Closest ancestors · 6

Same direction, newest first

  1. 2025MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers27 Oct
  2. 2025MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security18 Aug
  3. 2025We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems16 Jun
  4. 2025A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment22 Apr
  5. 2025MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System17 Apr
  6. 2025MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits2 Apr

Other references · 12

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2025Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directionscited by 257
  3. 2023Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectivescited by 253
  4. 2024LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Aheadcited by 155
  5. 2025From LLM Reasoning to Autonomous AI Agents: A Comprehensive Reviewcited by 146
  6. 2024Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospectscited by 130
  7. 2024A Review of Large Language Models and Autonomous Agents in Chemistrycited by 96
  8. 2024A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learningcited by 74
  9. 2025A Survey on the Optimization of Large Language Model-based Agentscited by 45
  10. 2025Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategiescited by 42
  11. 2025ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Spacecited by 15
  12. 2025SoK: Automated Vulnerability Repair: Methods, Tools, and Assessmentscited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2025When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
  2. 2025Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem
  3. 2026Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions
  4. 2025MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers
  5. 2026Breaking the Protocol: Security Analysis of the Model Context Protocol Specification and Prompt Injection Vulnerabilities in Tool-Integrated LLM Agents
  6. 2025A First Look at the Security Issues in the Model Context Protocol Ecosystem
  7. 2026A Taxonomy of Runtime Faults in Model Context Protocol Servers
  8. 2025We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems