local-llm-mcp (Qinlupfu/local-llm-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 8 tools. No publisher has claimed this listing.
本地模型管家 MCP:管理 GGUF 模型与 llama-server —— 模型台账 / 显存估算 / 服务生命周期 / chat 代理(FastMCP)
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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Qinlupfu
Source: github_repo_search
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Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
LLM_MCP_MODELS_ROOTGGUF 模型根目录LLM_MCP_PORTllama-server 端口LLM_MCP_CHAT_TIMEOUTchat 超时(秒);35B 混合推理较慢,给足余量LLM_MCP_START_TIMEOUT启动健康等待上限(秒)LLM_MCP_IDLE_TIMEOUT闲置自动卸载(秒),0=不自动卸载;应大于 chat 超时LLM_MCP_STATE_FILE运行时状态文件LLM_MCP_LOG_DIRllama-server 日志目录Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
8/8 tools missing one or more hints — runtime_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); estimate_vram (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +5 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
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[](https://m8ven.ai/mcp/qinlupfu/local-llm-mcp)?variant=verified to the badge URL.Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.
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