Best Security MCP servers for Continue
3,537 security MCP servers with ready Continue config. Open a row to copy it.
- 1
Securely execute LLM-generated code in isolated containers or local Linux and Windows sandboxes across multiple programming languages.
Config for Continue
.continue/mcpServers/llm-sandbox.yamlname: "llm-sandbox" version: 0.0.1 schema: v1 mcpServers: - name: "llm-sandbox" type: stdio command: "uvx" args: - "llm-sandbox" - 2
Enforces policy-as-code governance for AI agents through deterministic scheduling and verifiable audit receipts.
Config for Continue
.continue/mcpServers/bernstein.yamlname: "bernstein" version: 0.0.1 schema: v1 mcpServers: - name: "bernstein" type: stdio command: "uvx" args: - "bernstein" - 3
Reverse engineer binaries, applications, and runtime behavior through an AI agent or terminal interface.
Config for Continue
.continue/mcpServers/rea.yamlname: "rea" version: 0.0.1 schema: v1 mcpServers: - name: "rea" type: stdio command: "npx" args: - "-y" - "rea-agents" - 4
Provides LLM agents with controlled, audited SSH access to remote Linux and Windows hosts using policy-based authorization and human-in-the-loop approvals.
Config for Continue
.continue/mcpServers/ssh-mcp.yamlname: "ssh-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "ssh-mcp" type: stdio command: "npx" args: - "-y" - "ssh-mcp" - 5
Provides encrypted, fully offline, and durable agentic memory for AI agents to store and recall facts, preferences, and decisions locally.
Config for Continue
.continue/mcpServers/compartment.yamlname: "compartment" version: 0.0.1 schema: v1 mcpServers: - name: "compartment" type: stdio command: "uvx" args: - "compartment" - 6
Scans and investigates AI supply chains by mapping agents, MCP servers, packages, and their potential reach to identify vulnerabilities.
Config for Continue
.continue/mcpServers/agent-bom.yamlname: "agent-bom" version: 0.0.1 schema: v1 mcpServers: - name: "agent-bom" type: stdio command: "uvx" args: - "agent-bom" - 7
Provides an AI-powered OSINT toolkit that lets agents perform passive reconnaissance using tools for DNS, WHOIS, IP, and breach lookups.
Config for Continue
.continue/mcpServers/openosint-2b2261.yamlname: "openosint-2b2261" version: 0.0.1 schema: v1 mcpServers: - name: "openosint-2b2261" type: stdio command: "uvx" args: - "openosint" - 8
Provides an AI-powered OSINT toolkit that lets agents perform passive reconnaissance using tools for DNS, WHOIS, IP, and breach lookups.
Config for Continue
.continue/mcpServers/openosint.yamlname: "openosint" version: 0.0.1 schema: v1 mcpServers: - name: "openosint" type: stdio command: "uvx" args: - "openosint" - 9
Lets AI clients run private web searches, read URLs, and get query suggestions through a SearXNG instance.
Config for Continue
.continue/mcpServers/mcp-searxng.yamlname: "mcp-searxng" version: 0.0.1 schema: v1 mcpServers: - name: "mcp-searxng" type: stdio command: "npx" args: - "-y" - "mcp-searxng" - 10
Enables AI agents to perform security research, vulnerability analysis, and automated code fixing through a specialized security harness.
Config for Continue
.continue/mcpServers/0.yamlname: "0" version: 0.0.1 schema: v1 mcpServers: - name: "0" type: stdio command: "npx" args: - "-y" - "0sec-cli" - 11
Enables AI assistants to perform professional network analysis, security audits, and threat detection using tshark and packet capture files.
Config for Continue
.continue/mcpServers/wireshark-mcp.yamlname: "wireshark-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "wireshark-mcp" type: stdio command: "uvx" args: - "wireshark-mcp" - 12
Provides a chain of custody for AI agents by issuing signed receipts for tool calls and enforcing access policies via an MCP gateway.
Config for Continue
.continue/mcpServers/agent-custody.yamlname: "agent-custody" version: 0.0.1 schema: v1 mcpServers: - name: "agent-custody" type: stdio command: "npx" args: - "-y" - "@agent-custody/receipts" - 13
Validates architectural decision records against your actual code, detects drift, masks sensitive content, and tracks decisions.
Config for Continue
.continue/mcpServers/mcp-adr-analysis-server.yamlname: "mcp-adr-analysis-server" version: 0.0.1 schema: v1 mcpServers: - name: "mcp-adr-analysis-server" type: stdio command: "npx" args: - "-y" - "mcp-adr-analysis-server" - 14
Enables AI clients to securely access metadata management capabilities including search, lineage, data quality, and governance through OAuth 2.0.
Config for Continue
.continue/mcpServers/openmetadata-mcp.yamlname: "openmetadata-mcp" version: 0.0.1 schema: v1 mcpServers: - name: "openmetadata-mcp" type: streamable-http url: "https://{openmetadata_host}/mcp" - 15
Hardens binaries, Electron apps, JS bundles, Python, and WebAssembly artifacts against AI reverse-engineering agents.
Config for Continue
.continue/mcpServers/bla.yamlname: "bla" version: 0.0.1 schema: v1 mcpServers: - name: "bla" type: stdio command: "npx" args: - "-y" - "bla-agents" - 16
Analyze customer feedback by stripping PII before processing to find stable themes and provide cited evidence for AI agents.
Config for Continue
.continue/mcpServers/obsei.yamlname: "obsei" version: 0.0.1 schema: v1 mcpServers: - name: "obsei" type: stdio command: "uvx" args: - "obsei" - 17
Puts authorization in front of AI agent HTTP actions, forwarding only requests approved by the Decionis authority and holding or blocking the rest.
Config for Continue
.continue/mcpServers/agent-safe-pipeline.yamlname: "agent-safe-pipeline" version: 0.0.1 schema: v1 mcpServers: - name: "agent-safe-pipeline" type: stdio command: "npx" args: - "-y" - "@decionis/mcp" - 18
Allows AI clients to search a community library of threat hunting hypotheses by keyword, threat actor, or available log sources.
Config for Continue
.continue/mcpServers/hearth.yamlname: "hearth" version: 0.0.1 schema: v1 mcpServers: - name: "hearth" type: stdio command: "npx" args: - "-y" - "@thorcollective/hearth-mcp"
