What MCP protocol operations does it support?
Resource operations (list, read, watch), tool operations (list, execute, get schemas), prompt operations (list, get formatted, completions), and notifications for changes and progress.
@phil65
基本信息
MCP (Model context protocol) server with LLMling backend
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-llmling": {
"command": "uvx",
"args": [
"mcp-server-llmling@latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
mcp-server-llmling is a YAML-based configuration system for LLM applications built on the Machine Chat Protocol (MCP). It allows you to define resources, prompts, and tools in YAML files without writing code, providing a complete environment for LLM interaction.
Install via uvx mcp-server-llmling@latest and start with a YAML config file using mcp-server-llmling start path/to/config.yml. Configure as a context server in Zed or Claude Desktop by specifying the command and arguments in their respective settings files. Programmatic usage is also supported via Python’s LLMLingServer class.
Resource operations (list, read, watch), tool operations (list, execute, get schemas), prompt operations (list, get formatted, completions), and notifications for changes and progress.
Default stdio; also SSE and Streamable HTTP for web clients, configurable via `transport_options` in code.
Run `uvx mcp-server-llmling@latest` from command line; or with a config file using `mcp-server-llmling start path/to/config.yml`.
Yes – the YAML configuration declares resources, tools, and prompts without requiring custom Python code.
Define a toolset with `type: openapi` and `spec` pointing to the OpenAPI schema; Redocly CLI is used automatically if installed for schema bundling.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
A curated list of references for MLOps
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Model Context Protocol Servers

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