"Exploring Expo Events and Resources" matching MCP servers:

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

MCP server for auditing infrastructure-as-code attack paths, finding multi-hop chains from public internet to sensitive resources.

Enables developers and security teams to run evidence-first Android and iOS security audits, manage jobs and reports, query public vulnerability intelligence, evaluate policies, and plan runtime checks through stdio MCP tools and resources.

Enables read-only interaction with HackerOne, providing tools for searching and analyzing reports, exploring programs and scope, accessing earnings, and retrieving public disclosures.

Enables assistants to interact with Hack The Box by wrapping HTB API operations as MCP tools for querying and operating HTB resources.

Enables LLM clients like Claude to interact with IDA Pro for binary analysis, decompilation, cross-references, patching, and more via 41 MCP tools, 8 resources, and 7 guided prompts.

Enables AI assistants to drive OWASP ZAP for authorized penetration testing and bug-bounty workflows, including authenticated scans and vulnerability triage through 67 curated safety-gated tools.

Security auditor for MCP servers that enumerates tools, resources, and prompts, scans for injection patterns, classifies risk levels, and produces a scored report (0-100, grades A-F).

Passive security scanner that audits a running MCP server against the OWASP MCP Top 10 and grades it A-F. Read-only static analysis of the advertised tools, prompts and resources with console/JSON/SARIF output, and it also runs as an MCP server itself.

Security scanner for MCP servers. Detects prompt injection, command injection, auth bypass, and excessive permissions across tools, resources, and prompts.

It lets an AI assistant call on a separate configured model for bounded, one-at-a-time adversarial checks — pressure-testing early ideas and claims, tracing failure paths, examining documents for structural weaknesses, exploring abuse paths, and proposing experiments — across planning, product, procedure, technical, and security work. The calling assistant stays in charge, deciding which returned criticisms the supplied material actually supports and discarding the rest.

Integrates ProjectDiscovery's Katana web crawler with Claude Desktop, enabling users to crawl websites, discover endpoints and hidden resources, extract JavaScript files, and perform reconnaissance with customizable depth, scope, and filtering options.

Enables AI agents to control and analyze RFID hardware through natural language: read, crack, emulate, and clone cards via MCP tools, with safety gates, offline dump analysis, and a host-side card library.

Enables AI assistants to perform Volatility 3 memory forensics through natural language, including process and network analysis, injection detection, and shellcode extraction from memory dumps.

MCP server for Frida dynamic instrumentation, enabling AI agents to enumerate devices/processes, attach, inject JavaScript, hook functions, read memory, and collect results via MCP tools.

Enables agents to operate ARL, ScopeSentry, and XingRin attack surface management platforms through stdio tools for listing resources, testing connections, creating/managing tasks, and retrieving assets.

Enables AI to scan AWS accounts, analyze attack paths, and verify security fixes on a read-only graph of cloud resources.

Enables secure execution of penetration testing commands on Kali Linux through Server-Sent Events with intelligent command validation, real-time monitoring, and comprehensive audit logging. Designed for authorized security research and penetration testing workflows.

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.