"Lottery games and results" matching MCP servers:

Enables searching and querying HackTricks pentesting documentation directly from Claude, with tools for quick lookup, grouped search results, page outlines, section extraction, and cheatsheet mode.

MCP server providing safe, structured network and security reconnaissance tools for AI agents, with graded JSON results.

Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.

Enables AI assistants and CLI users to run automated bytecode security audits of EVM smart contracts on Base Mainnet, detecting risky opcodes and interface signatures, scoring risk, and unlocking verified results via x402 USDC micropayments.

Enables Claude to scan a website's HTTP security headers and receive an A–F grade against OWASP best practices, including per-header pass/warn/fail results and copy-paste fixes for missing headers.

Enables MCP clients to work with DefAudit, supporting project and scan listing, starting scans, retrieving results, and marking or unmarking false positives.

This local MCP server keeps vulnerability intelligence, research scope, scanner results, evidence receipts, Bugcrowd VRT assessments, and report drafts in one SQLite ledger. It is built for authorized defensive research and does not scan, exploit, or submit reports.

Enables AI assistants to perform deep security audits of Java/Spring projects by searching for dangerous sink methods across built-in vulnerability profiles, inventorying project structure and dependency versions, and assessing the real exploitability of vulnerable components by layer. Results are grouped and tagged by external exposure so audits stay focused without overloading context.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

Enables integration with Beagle Security API for managing security testing projects, applications, domain verification, and automated penetration tests. Provides 18 tools for creating, monitoring, and retrieving results from security assessments.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

Exposes seven MCP tools that let an AI coding agent detect a project's stack, fetch the priority security checks for that platform, search 2,057 OWASP-derived check cards with file-and-commit provenance, and record evidence-backed pass/fail results in a report.

Enables an AI runtime to perform authorized static analysis of Android APKs over local MCP stdio, inspecting inventories, DEX/ELF headers and manifest details while decompiling with verified, checksum-pinned JADX and Apktool engines it can bootstrap itself. Reports results as evidence-backed observations, with literal text search, two-APK comparison and Markdown summaries, without ever executing the target APK.

Enables launching a fixed clean or poisoned MCP test fixture over stdio so agents can be evaluated for task utility and resistance to malicious instructions embedded in tool results.

Wraps the ScanMalware.com API to enable phishing triage, malware scanning, and certificate inspection through natural language, allowing users to submit scans, retrieve results, and analyze threats via MCP tools.

Exposes Keysight CyPerf network performance and security testing as 100 tools across 15 categories, enabling AI assistants to orchestrate tests, manage agents, and analyze results through natural language.

Enables agents to run static heuristic scans over a repository path via stdio, surfacing review candidates with file:line evidence for web3 auth and payment vulnerability patterns. Results can be used as CI-style gates or triage input without any dataflow analysis or external dependencies.

Enables active, authorized security testing of remote MCP servers' OAuth authorization flows, reporting results as JSON, SARIF, and Markdown. It runs checks for refresh token rotation, redirect URI strictness, PKCE enforcement, token audience, throttling, and consent CSRF.

Enables AI clients to submit files, hashes, and URLs for malware analysis, retrieve results, search across AssemblyLine indices, and triage alerts, all through the Model Context Protocol.

Exposes an assess_repo tool that scans a repository, local folder, or npm/PyPI package and returns supply-chain risk findings with file, line, and code evidence — install-time scripts, dangerous patterns, secrets, AI-agent manipulation, impersonation and published-artifact mismatches — while never executing the target's code. Findings carry severities from info to critical so results can gate installs and CI jobs.

Enables auditing npm, Yarn, and pnpm lockfiles from local project directories or remote Git repositories through an MCP tool, returning vulnerability results in text or JSON with configurable thresholds and dev dependency skipping.

Enables LLM coding harnesses to profile authorized repositories, select applicable defensive security techniques, and report coverage and plain-language results in markdown or SARIF while keeping scans read-only and authorization-gated.

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.

Enables auditing npm, Yarn, and pnpm lockfiles from local project directories or remote Git repositories via an MCP tool, returning vulnerability results in text or JSON with configurable thresholds, registry, dev-dependency skipping, and retries.

Enables auditing npm, Yarn, and pnpm lockfiles from local project directories or remote Git repositories through an MCP tool, returning vulnerability results with configurable thresholds, registry, dev-dependency skipping, retries, and text or JSON output.

Provides Claude with access to Shodan for IP address lookups, service discovery, and vulnerability scanning, allowing users to query information about hosts, count results, and check API usage.

Enables auditing npm, Yarn, and pnpm lockfiles from local project directories or remote Git repositories, returning vulnerability results in text or JSON with configurable thresholds and dev dependency skipping.

Enables AI agents to dynamically instrument Android and iOS apps through Frida 17, exposing 40 tools for exploring apps, hooking Java/ObjC/native methods, tracing calls, bypassing SSL pinning, capturing TLS keys and plaintext, and inspecting memory. Results use Ghidra/IDA-style module+offset addresses and carry an evidence envelope, with optional UI automation through mobile-mcp.

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.

Enables auditing of npm, Yarn, and pnpm lockfiles in local project directories or remote Git repositories (including private ones) through a stdio MCP tool, returning unified vulnerability results filtered by severity threshold in text or JSON. It supports custom registries, optional skipping of dev dependencies, audit retries, and Chinese or English reports.