io.github.qso-graph/qsp-mcp

Name: io.github.qso-graph/qsp-mcp
Author: qso-graph

AI 与智能体

by qso-graph

QSP：可将 MCP 工具中继到任意兼容 OpenAI 的本地 LLM，如 llama.cpp、Ollama、vLLM。

GitHub

什么是 io.github.qso-graph/qsp-mcp？

QSP：可将 MCP 工具中继到任意兼容 OpenAI 的本地 LLM，如 llama.cpp、Ollama、vLLM。

README

qsp-mcp

QSP — relay MCP tools to any OpenAI-compatible local LLM endpoint.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 80 tools across 14 packages — from local weights, not from cloud.

Install

bash

pip install qsp-mcp

Quick Start

bash

# Interactive mode
qsp-mcp --config ~/.config/qsp-mcp/config.json

# Single query
qsp-mcp --query "What bands are open from DN13 to JN48 right now?"

# Direct endpoint (no config file needed if no MCP servers configured)
qsp-mcp --endpoint http://localhost:8000/v1/chat/completions --api-key sk-xxx

Configuration

The config format is Claude Desktop compatible — copy your existing mcpServers block directly:

json

{
  "mcpServers": {
    "ionis": {
      "command": "ionis-mcp",
      "env": { "IONIS_DATA_DIR": "/path/to/datasets/v1.0" }
    },
    "solar": {
      "command": "solar-mcp"
    },
    "wspr": {
      "command": "wspr-mcp"
    }
  },
  "bridge": {
    "endpoint": "http://localhost:8000/v1/chat/completions",
    "model": "AstroSage-70B",
    "temperature": 0.3,
    "system_prompt": "You are an expert ham radio operator and RF engineer.",
    "max_tool_calls_per_turn": 5,
    "profiles": {
      "contest": {
        "servers": ["n1mm", "ionis", "solar", "wspr"],
        "temperature": 0.2,
        "system_prompt": "You are a contest advisor. Be concise."
      },
      "propagation": {
        "servers": ["ionis", "solar", "wspr"],
        "temperature": 0.3
      },
      "full": {
        "servers": "*",
        "temperature": 0.3
      }
    },
    "server_timeouts": {
      "ionis": 1,
      "solar": 8,
      "qrz": 5
    }
  }
}

The mcpServers block uses the exact same format as Claude Desktop. The bridge section is qsp-mcp specific (ignored by Claude Desktop).

CLI Options

code

qsp-mcp [OPTIONS]

Options:
  -c, --config PATH       Config file path (default: ~/.config/qsp-mcp/config.json)
  -e, --endpoint URL      LLM endpoint URL (overrides config)
  -k, --api-key KEY       API key for the LLM endpoint
  -m, --model NAME        Model name (overrides config)
  -p, --profile NAME      Tool profile (contest, dx, propagation, full)
  -q, --query TEXT        Single query mode — ask one question and exit
  --enable-writes         Enable write-capable tools (disabled by default)
  --list-tools            List available tools and exit
  --version               Show version

Interactive Commands

Command	Action
`/tools`	List available tools
`/help`	Show help
`quit`	Exit (also: `exit`, `q`, `73`)

Design

qsp-mcp is a strict, stateless pipe between an LLM and MCP tools:

No caching, no shared state, no health polling
All state lives in MCP servers
All inference optimization lives in the inference server (prefix caching, KV-cache)
qsp-mcp just connects the two sides

Works with any OpenAI-compatible endpoint: llama.cpp, Ollama, vLLM, SGLang.

Security

Write-capable tools disabled by default (--enable-writes opt-in)
Credentials stay inside MCP servers (OS keyring) — never exposed to qsp-mcp or the LLM
No subprocess, no shell execution, no eval
All external connections HTTPS only (LAN endpoints exempted)

License

MIT — see LICENSE.

Part of the qso-graph ecosystem

qso-graph.io — MCP servers for amateur radio.

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