arden-codebase
MCP server enabling read-only semantic code search and API endpoint resolution for the arden-server and arden-admin codebases, plus knowledge guides.
README
Arden AI
Mastra application for understanding and automating work across the arden-server and arden-admin codebases.
Commands
npm run dev
npm run knowledge:refresh
npm run routes:check
npm run type-check
npm run build
npm run mcp:server
Mastra Studio is available at http://localhost:4111 while the development server is running.
Environment
OPENAI_API_KEY=...
ARDEN_AI_MODEL=openai/gpt-4o-mini
QDRANT_URL=http://localhost:6333
QDRANT_COLLECTION=arden_code_chunks
# QDRANT_API_KEY=...
ARDEN_API_URL=http://localhost:5000/api/v1
ARDEN_ACCESS_TOKEN=...
ARDEN_PERMISSION_ID=...
# Generation-time only when arden-server cannot be auto-discovered:
# ARDEN_SERVER_PATH=/absolute/path/to/arden-server
ARDEN_AI_MODEL uses Mastra's provider/model format. Code-search tools do not require an LLM or OPENAI_API_KEY; agents do.
Route Knowledge
The published application does not read the arden-server filesystem. Exact API routes are shipped in the versioned manifest:
src/generated/arden-server-routes.json
Refresh it after route changes:
npm run knowledge:refresh
The generator reads arden-server/src/routes, records the backend Git commit, and writes every supported route to the manifest. ARDEN_SERVER_PATH is only needed while running this generator and is not required by the deployed application.
Use this command in CI after checking out both repositories:
npm run routes:check
It fails when the committed manifest does not match the checked-out arden-server. A normal npm run build intentionally uses the committed manifest and therefore works when only the Mastra repository is present.
Structure
src/
|-- codeChunks/ Shared embedding and semantic-search logic
|-- database/ Qdrant and other database infrastructure
|-- generated/ Versioned knowledge generated from source repos
|-- environment.ts Environment configuration
`-- mastra/
|-- agents/
| |-- arden-admin/
| `-- arden-server/
|-- tools/
| |-- arden-admin/
| `-- arden-server/
`-- index.ts Mastra resource registration
Repository-specific tools enforce their repository filter internally. Shared Qdrant and embedding behavior belongs outside tool and agent definitions.
Resources
Tools:
arden-server-code-searcharden-server-resolve-api-endpointarden-server-get-api-dataarden-admin-code-search
Agents:
arden-server-codebase-agentarden-admin-codebase-agent
The search layer is compatible with the existing arden_code_chunks collection and uses Xenova/bge-small-en 384-dimensional normalized embeddings.
MCP Server
The native @mastra/mcp server exposes these read-only tools:
arden-server-code-searcharden-admin-code-searcharden-server-resolve-api-endpointarden-server-get-api-data
It also exposes:
arden://knowledge/route-manifestarden://knowledge/usage-guide
Start the stdio server for local MCP clients:
npm run mcp:server
Inspect it interactively:
npm run mcp:inspect
OpenCode local configuration:
{
"mcp": {
"arden-codebase": {
"type": "local",
"command": [
"npm",
"--silent",
"--prefix",
"/absolute/path/to/my-mastra-app",
"run",
"mcp:server"
],
"enabled": true
}
}
}
When the Mastra HTTP server is running, the registered MCP server is also available at the Streamable HTTP endpoint:
http://localhost:4111/api/mcp/arden-codebase/mcp
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。