langchain4j
v1.0.0LangChain4j skills for agent design and orchestration patterns, MCP client integration, official/Azure OpenAI SDK usage, code review, and project scaffolding on LangChain4j 1.18.1 / 1.18.1-beta28.
By Natig KurbanovLicense: MIT0 GitHub starsUpdated 2 months ago
Directory evidence
- Runtimes
- Codex, Claude Code, and Agent Plugins
- Parsed components
- 7 skill or MCP entries
- Source updated
- Aug 12, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install langchain4j for Codex and Claude Code
codex plugin marketplace add IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add langchain4j@agent-plugin-marketplacePaste and run these commands in a terminal with Codex. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/flyfirstmars/langchain4j-agent-pluginClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.
Plugin files
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── plugin.json├── skills/langchain4j-agent-design/SKILL.md├── skills/langchain4j-anthropic-sdk/SKILL.md├── skills/langchain4j-mcp-client/SKILL.md├── skills/langchain4j-mcp-server/SKILL.md├── skills/langchain4j-openai-sdk/SKILL.md├── skills/langchain4j-review/SKILL.md└── skills/langchain4j-scaffold/SKILL.md
Included Skills7
Use when designing LangChain4j multi-agent orchestration architecture (pattern selection, agent boundaries, shared state/memory, guardrails, execution plan). Do not invoke for code generation (use langchain4j-scaffold), implementation review (use langchain4j-review), or OpenAI provider wiring (use langchain4j-openai-sdk).
Use when selecting/configuring LangChain4j Anthropic Claude integrations (direct Anthropic API, AWS Bedrock-hosted Claude) including prompt caching, tool use, extended thinking, batch API, and Agent Skills document generation. Do not invoke for broader agent-system design (use langchain4j-agent-design) or general LangChain4j code review (use langchain4j-review).
Use when reviewing LangChain4j MCP client integration details (transport, lifecycle, McpToolProvider mapping, protocol semantics, errors, observability). Do not invoke for general LangChain4j AI-service review (use langchain4j-review), MCP server design/implementation (use langchain4j-mcp-server), or greenfield agent architecture (use langchain4j-agent-design).
Use when designing, creating, scaffolding, or reviewing Java/Kotlin MCP servers based on LangChain4j. Select the community stdio server for local tools-only hosts, CDI-MCP for Java HTTP Streamable servers, or Quarkus MCP Server when Quarkus is required. Do not use for consuming MCP servers from LangChain4j (use langchain4j-mcp-client) or general code generation/review (use langchain4j-scaffold/langchain4j-review).
Use when selecting/configuring LangChain4j OpenAI integrations (custom REST, official openai-java SDK, Azure OpenAI/Foundry) including model/reasoning/Responses API setup. Do not invoke for broader agent-system design (use langchain4j-agent-design), general LangChain4j code review (use langchain4j-review), or Anthropic Claude integrations (use langchain4j-anthropic-sdk).
Use when reviewing LangChain4j Java/Kotlin application code (AI Services, tools, memory, guardrails, observability, Spring wiring). Do not invoke for MCP client-protocol deep review (use langchain4j-mcp-client), MCP server design/review (use langchain4j-mcp-server), greenfield agent design/build (use langchain4j-agent-design for design, or langchain4j-scaffold for build), or provider-specific OpenAI/Anthropic SDK setup (use langchain4j-openai-sdk/langchain4j-anthropic-sdk).
Use when generating LangChain4j Java/Kotlin implementation code (AI services, tools, guardrails, memory, MCP client/server wiring, Spring integration). Do not invoke for architecture-only planning (use langchain4j-agent-design), code review (use langchain4j-review/langchain4j-mcp-client), or MCP server implementation-path selection/review (use langchain4j-mcp-server).
Plugin manifests3
{
"name": "langchain4j",
"version": "1.0.0",
"description": "LangChain4j skills for agent design and orchestration patterns, MCP client integration, official/Azure OpenAI SDK usage, code review, and project scaffolding on LangChain4j 1.18.1 / 1.18.1-beta28.",
"author": {
"name": "Natig Kurbanov"
},
"license": "MIT",
"keywords": [
"langchain4j",
"java",
"ai-agents",
"mcp",
"llm",
"rag"
],
"skills": "./skills",
"interface": {
"displayName": "LangChain4j Skills"
}
}{
"name": "langchain4j",
"displayName": "LangChain4j Skills",
"version": "1.0.0",
"description": "LangChain4j skills for agent design and orchestration patterns, MCP client integration, official/Azure OpenAI SDK usage, code review, and project scaffolding on LangChain4j 1.18.1 / 1.18.1-beta28.",
"author": {
"name": "Natig Kurbanov"
},
"license": "MIT",
"keywords": [
"langchain4j",
"java",
"ai-agents",
"mcp",
"llm",
"rag"
]
}{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "langchain4j",
"version": "1.0.0",
"description": "LangChain4j skills for agent design and orchestration patterns, MCP client integration, official/Azure OpenAI SDK usage, code review, and project scaffolding on LangChain4j 1.18.1 / 1.18.1-beta28.",
"author": {
"name": "Natig Kurbanov"
},
"license": "MIT",
"keywords": [
"langchain4j",
"java",
"ai-agents",
"mcp",
"llm",
"rag"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[langchain4j on Agent Plugins Marketplace](https://pluginsmp.com/plugins/langchain4j)