"Java command reference and usage" matching MCP servers:

Exposes the ConnectWise Command (Continuum) ITSupport247 Reporting API as MCP tools, enabling querying of sites, devices, patches, antivirus, performance, and more.

Enables querying and analyzing Tenable Vulnerability Management audit logs, including activity summaries, API key usage, and anomaly detection through MCP tools.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

Enables AI agents to read Microsoft 365 tenant data, such as users, license usage, and stale accounts, while enforcing least-privilege by refusing to run with excessive Azure permissions.

Enables MCP clients to check URLs for scam/phishing risks, get verdicts with confidence and severity, report false positives, and monitor plan usage.

A consequence engine for shell commands. Blast Scope scores what a command would actually do before an AI agent runs it.

Enables scanning Java (Maven) projects for known vulnerabilities via natural language, returning severity-sorted reports with CVSS scores and fix versions.

An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.

Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

Enables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Enables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.

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 forensic investigators to acquire data from Android devices via ADB, including device backup, artifact collection, and secure command execution.

Provides 18 tools for repository snapshot, release readiness, secret scanning, and approval-gated file writes with backup and audit log.

Indexes a workspace and exposes code-navigation tools to Codex, enabling symbol lookup, reference finding, dependency analysis, and security audit for local codebases.

Provides threat intelligence lookups against the AbuseIPDB database, enabling IP reputation checks, CIDR block analysis, and log enrichment. It features intelligent caching and rate limiting to efficiently manage API usage for security analysis and automated workflows.

Exposes the OpenAI Admin API as MCP tools, enabling management of organization members, projects, service accounts, API keys, rate limits, usage, costs, and audit logs through natural language.