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qsp-client
Advanced tools
MCP tool relay for local LLM inference — bridge any OpenAI-compatible endpoint to MCP servers
QSP — relay MCP tools to any OpenAI-compatible local LLM endpoint.
Named after the Q-signal QSP ("Will you relay?"), qsp-client relays tool calls between a local LLM and MCP servers. It is an MCP client: any model with function calling gains access to the qso-graph servers' tools, from local weights, not from cloud.
Formerly qsp-mcp. See Moving from qsp-mcp.
uv tool install qsp-client # the qsp-client command, on your PATH
pip install qsp-client # or into your own environment
# Interactive mode
qsp-client --config ~/.config/qsp-client/config.json
# Single query
qsp-client --query "What bands are open from DN13 to JN48 right now?"
# Direct endpoint (no config file needed if no MCP servers configured)
qsp-client --endpoint http://localhost:8000/v1/chat/completions --api-key sk-xxx
The config format is Claude Desktop compatible — copy your existing mcpServers block directly:
{
"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-client specific (ignored by Claude Desktop).
qsp-client [OPTIONS]
Options:
-c, --config PATH Config file path (default: ~/.config/qsp-client/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
| Command | Action |
|---|---|
/tools | List available tools |
/help | Show help |
quit | Exit (also: exit, q, 73) |
qsp-adif-convert converts an ADIF (.adi) log to JSON or NDJSON, with filters for band, mode,
callsign, date range and confirmed QSOs:
qsp-adif-convert -i mylog.adi -o mylog.json
qsp-adif-convert --help
It works on files on your own machine and opens no connection. It used to be adif-mcp convert;
adif-mcp is now only the MCP server.
qsp-client is a strict, stateless pipe between an LLM and MCP tools:
Works with any OpenAI-compatible endpoint: llama.cpp, Ollama, vLLM, SGLang.
--enable-writes opt-in)qsp-client is qsp-mcp, renamed: in the MCP world, -mcp names mark servers, and this is a client.
pip uninstall qsp-mcp && pip install qsp-client.~/.config/qsp-mcp/config.json and ~/.qsp-mcp.json are still read, after the new
~/.config/qsp-client/config.json and ~/.qsp-client.json.qsp-mcp command still works, and says it has moved. Use qsp-client.GPL-3.0-or-later — see LICENSE.
qso-graph.io — MCP servers for amateur radio.
FAQs
MCP tool relay for local LLM inference — bridge any OpenAI-compatible endpoint to MCP servers
The pypi package qsp-client receives a total of 708 weekly downloads. As such, qsp-client popularity was classified as not popular.
We found that qsp-client demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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