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Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 10:46:23 AM

Qsp MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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QSP β€” relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "qsp-mcp": {
      "command": "uvx",
      "args": [
        "qsp-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

qsp-mcp

QSP β€” 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 β€” 80 tools across 14 packages β€” from local weights, not from cloud.

Install

Terminal
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 β€” copy your existing mcpServers block directly:

config.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 β€” 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

CommandAction
/toolsList available tools
/helpShow help
quitExit (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) β€” 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 β€” see LICENSE.

Part of the qso-graph ecosystem

qso-graph.io β€” MCP servers for amateur radio.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Qsp MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "qsp-mcp": { "command": "uvx", "args": ["qsp-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedMar 30, 2026
Views0
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Installs0
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GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 30, 2026
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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