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metadata 
license: mit
language:
  - en
tags:
  - tool-use
  - function-calling
  - mcp
  - model-context-protocol
  - benchmark
  - quantization
pretty_name: QuantMCP Suite

QuantMCP Suite

Task fixtures and frozen tool schemas for the QuantMCP benchmark, which measures whether quantization-driven function-calling degradation (first shown on curated BFCL/ToolACE schemas by QuantCall) carries over to real, unmodified Model Context Protocol server tool schemas.

Unlike QuantCall's suite, everything here is originated by this project under MIT — there is no third-party licensed data to gate or manifest-only reference, since every task is hand-written against a real MCP reference server's actual tool surface.

Contents

Path Description
tasks/u0_tasks.yaml 2 smoke tasks against the in-repo toy FastMCP server
tasks/u1_filesystem_tasks.yaml + tasks/u1_filesystem/ 13 naturalistic tasks + fixture directory (including a minimal PNG fixture for read_media_file) for the official @modelcontextprotocol/server-filesystem reference server
tasks/u2_git_tasks.yaml + tasks/u2_git/repo.tar.gz 12 naturalistic tasks + a deterministic fixture git repository (packed as a tarball — a nested .git can't be committed as plain content) for the official mcp-server-git reference server
tasks/u3_sqlite_tasks.yaml + tasks/u3_sqlite/fixture.db 10 naturalistic tasks + a fixture SQLite database for a self-written FastMCP wrapper (the official sqlite reference server is not currently maintained upstream — see docs/RUN_REAL.md in the GitHub repo)
tasks/u4_memory_tasks.yaml + tasks/u4_memory/memory.json 10 naturalistic tasks + a fixture knowledge-graph seed file for the official @modelcontextprotocol/server-memory reference server
schemas/tool_schemas.json Frozen live tool schemas (name, description, JSON Schema) for all 39 tools across the four real server tiers (14 filesystem + 12 git + 4 sqlite + 9 memory), dumped via quantmcp dump-schemas. This is the exact corpus the Schema Complexity Index (SCI) is computed from.

Every task declares which tool it targets (tool: in the YAML — analysis metadata only, never shown to the model) and is naturalistic in its instruction (never names the tool to call), verified against the real server's actual response before being trusted — see the GitHub repo's docs/RUN_REAL.md for the full methodology and honesty caveats, including the one live tool (read_file, deprecated in favor of the schema-identical read_text_file) deliberately left without a task.

How to reproduce 

git clone https://github.com/Happynood/quant-mcp-bench
cd quant-mcp-bench
uv sync --extra llama-cpp
uv run quantmcp run --config configs/qwen3-0.6b-u1-sweep/Q4_K_M.yaml
uv run quantmcp dump-schemas --tiers filesystem,git,sqlite,memory --output tool_schemas.json

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