"Connecting Feishu (Lark)" matching MCP servers:

Automates Android app analysis using Frida via AI commands, connecting a rooted Android phone to a computer and running dynamic analysis scripts without manual command execution.

Enables AI agents to orchestrate security research workflows by connecting to containerized security tools via MCP, allowing automated vulnerability analysis and pipeline execution.

Enables AI-assisted vulnerability management by connecting Claude Desktop to local Nessus and Tenable Vulnerability Management, allowing natural-language queries for scan management, threat intelligence enrichment, and prioritized remediation planning.

Enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs for untrusted prompts, RAG context, and agent actions over MCP.

Enables AI-assisted penetration testing by connecting MCP clients to execute terminal commands on a Kali Linux machine, supporting tools like Nmap, Metasploit, and custom commands.

Enables AI-assisted penetration testing by connecting MCP clients to a Windows API server for executing penetration testing tools like nmap, ffuf, nuclei, and other security tools. Allows AI agents to perform automated security assessments, solve CTF challenges, and assist with ethical hacking tasks through natural language commands.

This MCP server enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic Merkle audit proofs for agent prompts, RAG context, and actions. It provides tamper-evident SHA-256 tree generation, logarithmic inclusion proofs, and verifiable integrity checks through MCP.

An MCP server connecting AI clients to Greenbone/OpenVAS for vulnerability scanning workflows, enabling scan creation, monitoring, report retrieval, and delta comparisons.

Enables users to score credential strength using NIST-style bit entropy and keyspace calculations, estimate GPU brute-force cracking timelines, audit cross-account password reuse blast radius, and perform k-anonymity SHA-256 prefix privacy checks without exposing secrets.

Audit any MCP server for tool-poisoning, prompt-injection, and data-exfiltration risk before connecting an agent.

Enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs through the Model Context Protocol.

MCP server for network-level TLS interception and IoT security testing. Orchestrates mitmproxy and tshark to intercept traffic from devices connecting to a WiFi access point, automatically flagging credentials, API keys, and certificate pinning failures.

Official Model Context Protocol server exposing static AST security tools (audit_mcp_repository, audit_local_directory) to scan MCP tools for vulnerabilities before connecting them to Claude or Cursor.

MCP server inspector that reads a server's published source code and reports findings with file:line evidence, helping users assess what an MCP server does before connecting.

Enables auditing EIP-712 typed signature phishing permits and sanitizing allowances (Permit2/MetaMask) via MCP, with deterministic callgraph verification and DeFi vulnerability triage. It integrates with Claude Desktop, Cursor, and MCP clients for autonomous smart contract security analysis.

Enables static auditing of EVM Solidity smart contracts to detect critical vulnerabilities such as reentrancy state changes, unhandled external calls, unchecked delegatecall, and tx.origin authentication flaws, producing risk audit reports.

Enables automated EVM flash loan arbitrage risk assessment and MEV sandwich attack protection for Aave and Uniswap v3, offering deterministic slippage and vulnerability analysis through the Model Context Protocol.

Enables automated Solidity smart contract auditing by analyzing callgraphs and control flow to detect reentrancy vulnerabilities. Integrates with MCP-compatible clients to provide deterministic, zero-dependency security assessments.

Enables static AST-based taint flow tracing from untrusted sources to sensitive sinks, supporting AI code review and security analysis via MCP.

Enables real-time indirect prompt injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs over MCP.