Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
QSP — relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"qsp-client": {
"command": "uvx",
"args": [
"qsp-client"
]
}
}
}Run this in your terminal
claude mcp add qsp-client -- uvx qsp-clientPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"qsp-client": {
"command": "uvx",
"args": [
"qsp-client"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"qsp-client": {
"type": "stdio",
"command": "uvx",
"args": [
"qsp-client"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account qso-graph, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.5.1) reached the registry 8 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
qsp-client --query "What bands are open from DN13 to JN48 right now?"
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.