local-rag-mcp
by junchenghe01
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_HOST | No | SSE 监听地址 | 127.0.0.1 |
| MCP_PORT | No | SSE 监听端口 | 8042 |
| LOG_LEVEL | No | 日志级别 | INFO |
| EMBED_TIMEOUT | No | Embedding 请求超时(秒) | 60.0 |
| MCP_TRANSPORT | No | 传输模式: `sse` (守护进程) 或 `stdio` (子进程) | sse |
| EMBED_BASE_URL | No | Ollama Embedding 服务地址 | http://localhost:11434 |
| RAG_CHUNK_SIZE | No | 分块大小(字符数) | 600 |
| EMBED_MODEL_NAME | No | Embedding 模型名称 (1024 维) | bge-m3 |
| RAG_PROJECT_PATH | Yes | 文档项目目录,启动时自动加载索引 + 文件监控 | |
| RAG_CHUNK_OVERLAP | No | 块间重叠(字符数) | 60 |
| RAG_HYBRID_WEIGHT | No | 混合检索权重 (0=纯BM25, 1=纯向量) | 0.7 |
| RAG_WATCH_DEBOUNCE | No | 文件监控防抖间隔(秒) | 1.0 |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/junchenghe01/local-rag-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server