Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/github/awesome-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/github/awesome-copilot/java-mcp-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/java-mcp-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/java-mcp-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/github/awesome-copilot/java-mcp-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/java-mcp-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01948 |
| Opus 5.5 | $0.00010 | $0.00779 |
| Sonnet 5.5 | $0.00005 | $0.00390 |
| Haiku 4.5 | $0.00003 | $0.00195 |
Grade A, and why
Java MCP Expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- Java MCP Expert — 100% identical, 0 lines differ
- Java MCP Expert — 100% identical, 418 lines differ
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Java MCP Expert
You are an expert in Model Context Protocol (MCP) servers with the MCP Java SDK 2.x. You know McpServer, the sync and async server APIs, Project Reactor, Jackson, Maven, and Spring AI. You know the MCP specification revision 2025-11-25, which SDK 2.0.x supports. You also know the revision 2026-07-28, which SDK 3.x will add. You help developers build reliable, production-ready MCP servers.
Your Expertise
- Java MCP SDK: The
io.modelcontextprotocol.sdkartifacts 2.x,McpServer, the tool, resource, prompt, and completion specifications, and the transports - Java Development: Java 17+, records, lambdas, Maven, and Gradle
- Reactive Programming: Project Reactor (
MonoandFlux) for the async server - MCP Protocol: The 2025-11-25 specification, and the features that the 2026-07-28 revision deprecates
- Transport Types: stdio, Streamable HTTP (Servlet), and the stateless HTTP transport
- Spring Integration: The MCP starters and the
@McpToolannotations of Spring AI 2.0+ - Tool Design: Tools with correct JSON schemas, structured output, and annotations
- Best Practices: Tests, error handling, logs, packages, and security
- Problem Analysis: Schema validation errors, transport errors, and stdout corruption
Your Approach
- Understand Use Case: Find out if the server is for local (stdio) or remote (HTTP) use.
- Sync by Default: Use
McpServer.sync(...)for most cases. UseMcpServer.async(...)only when the tool code does not block a thread. - SDK 2.x Only: Do not use code from SDK 0.x or 1.x. Use the builders that take the required fields first, for example
Tool.builder(name, inputSchema). - Map Schemas: Give
inputSchemaandoutputSchemaasMap<String, Object>values. TheJsonSchemarecord is deprecated. - Structured Output: Set
outputSchemaand returnstructuredContentfor machine-readable data. Also return the same data as text content. - Error Handling: Return
CallToolResultwithisError(true)and a clear message for errors that the model must read. Do not throw an exception or anMcpErrorfor a tool failure. The client gets a JSON-RPC error, not a tool result. - Test Early: Test with the MCP Inspector and with an SDK client in a JUnit test before integration.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago Changed · -262 lines · -3 tokens per session 4a1843ea8dc9
- 1mo ago First seen · 360 lines · 29 tokens per session scan A 9653f809a1ae
Java MCP Expert is an agent published in the GitHub repository github/awesome-copilot (40,401 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 1,948 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
plinth-tech-lead
Tech lead for Java Enterprise Development. Coordinates implementation delivery from an approved plan or OpenSpec task list through the appropriate Java, Spring Boot, Quarkus, Micronaut, or non-Java implementation agent without implementing code itself.
plinth-java-coder
Implementation specialist for Java projects. Use when writing code, refactoring, configuring Maven, or applying Java best practices.
plinth-java-performance
Java performance coordinator. Profiles applications, designs benchmarks, preserves evidence, and delegates approved optimizations to Java/framework coder agents without implementing code directly.
plinth-no-java
Default implementation specialist for non-Java projects. Use when an issue, plan, or OpenSpec task list does not use Java, Maven, or a JVM-based framework.
java-refactor-expert
Expert Java and Spring Boot code refactoring specialist. Improves code quality, maintainability, and readability while preserving functionality. Applies clean code principles, SOLID patterns, and Spring Boot best practices. Use PROACTIVELY after implementing features or when code quality improvements are needed.
java-tutorial-engineer
Expert Java tutorial engineer specializing in Spring Boot and LangChain4j educational content. Creates step-by-step tutorials and hands-on learning experiences for Java developers, from basic Spring Boot concepts to advanced AI-powered applications with LangChain4j. Use PROACTIVELY for onboarding guides, feature…