"Java command reference and usage" matching MCP servers:

Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.

MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.

Enables automatic generation of explicit boilerplate methods (getter/setter/equals/hashCode/toString/constructors) for Java entity classes, replacing Lombok dependencies with visible, reviewable code.

Enables Claude to execute Minecraft commands and get tab completions through the MasterControl API. Allows remote command execution and command discovery while the player is online on a server.

Enables AI agents to search for reference images using natural language queries, aggregate results from multiple image sources, and interactively select, refine, and download images through tool calls.

Enables AI coding agents to look up live JDK javadoc, Spring Boot reference sections, and Maven Central artifact metadata as clean markdown. It provides ranked search, caching, robots-aware throttling, and errors returned as suggestions instead of raising into the MCP layer.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

Fetches and tracks Claude.ai usage data including session and weekly limits with automated daily logging and persistent session management. It allows users to monitor their usage history directly through Claude Code integrated tools.

An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.

An MCP server that uses the CFR decompiler to convert Java .class and .jar files back into readable source code. It supports single-file, batch, and recursive directory decompilation with automated CFR tool management.

Provides reference documentation for REAPER development, including ReaScript API, JSFX programming, and ReaWrap API, with tools to search and query function information to prevent redundant token usage.

Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.

Enables discovering and independently validating scholarly metadata from extracted research text using Crossref, OpenAlex, DataCite, and optional read-only Zotero checks, returning ranked and verified reference candidates.

Provides Java development capabilities through Eclipse JDT.LS, enabling symbol navigation, code diagnostics, workspace searching, and Javadoc access across Java projects.

Enables users to turn natural-language requests into validated, compilable Java test methods, grounded in a graph catalog to prevent hallucinated imports and ungrounded symbols.

Enables users to look up reference information for construction materials, including price ranges and aliases, for small projects in Guatemala through a remote MCP endpoint.

MCP server for searching, browsing, solving, and interpolating engineering equations and reference tables. Provides access to 3,388 engineering equations across 10 subjects and 94 reference tables.

Exposes GitHub Copilot premium request usage as an MCP tool, providing a breakdown by model and cost.

A vendor-neutral reference implementation of a Workday MCP server that enables integration with Workday for employee data, compensation, benefits, time off, org info, inbox tasks, admin operations, and headcount management through natural language.

Serves plain-text notes that an Obsidian user has explicitly published for AI over streamable HTTP, with full-text and embedding-based search. MCP clients can read and search those notes and queue suggested edits that the user's own client applies only if the AI rules allow it.