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ComputeSage StackBench

Public metadata for the ComputeSage StackBench remote Model Context Protocol (MCP) server. This repository does not contain the proprietary StackBench server implementation.

computesage-mcp MCP server computesage-mcp MCP server

Connect

Remote MCP: https://mcp.computesage.com/mcp

Website: https://computesage.com

Documentation: https://computesage.com/mcp

Official Registry: com.computesage/stackbench

Related MCP server: ppb-mcp

Tools

  • search_evidence

  • check_deployment_fit

  • predict_performance

  • recommend_deployment

  • generate_launch_config

Metadata

server.json mirrors the public server identity and remote transport published in the Official MCP Registry. Service availability, current tool schemas, and tool behavior are defined by the live remote MCP server and its documentation.

Repository scope

This repository contains public discovery metadata only. It intentionally contains no StackBench application source, infrastructure configuration, credentials, private benchmark data, or deployment secrets.

Available Tools

5 tools
check_deployment_fitB
Read-onlyIdempotent

$0.01 USDC on Base mainnet: check model/configuration fit against bounded StackBench capacity evidence.

Inputs: model (required), context_length (required), hardware_system (required), engine, +3 more. Returns: object

generate_launch_configA
Read-onlyIdempotent

$0.50 USDC: generate deterministic vLLM or llama.cpp launch templates from an exact StackBench recommendation without claiming a launch occurred.

Inputs: model (required), runtime (required), prompt_tokens (required), hardware_system (required), +15 more. Returns: object

predict_performanceB
Read-onlyIdempotent

$0.05 USDC: predict configuration throughput, memory, and power from bounded StackBench evidence with confidence, missing metrics, and caveats.

Inputs: model (required), prompt_tokens (required), hardware_system (required), engine, +11 more. Returns: object

recommend_deploymentC
Read-onlyIdempotent

$0.25 USDC: recommend what to buy or run from bounded StackBench fit, performance, confidence, evidence, caveats, and economics only when supported.

Inputs: model (required), prompt_tokens (required), mode, engine, +38 more. Returns: object

search_evidenceA
Read-onlyIdempotent

$0.00 free search of bounded public StackBench benchmark and failure evidence; use this for evidence-only requests.

Inputs: query (required), limit. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct stage in the evidence-to-deployment workflow. check_deployment_fit and predict_performance are related but clearly separated by fit versus metrics, and recommend_deployment is the only economic recommendation tool.

    Naming Consistency5/5

    All five tools use consistent lowercase snake_case verb_noun names with concrete action verbs (search, check, predict, recommend, generate), making the naming pattern predictable and readable.

    Tool Count5/5

    Five tools is appropriate for a specialized advice-and-configuration server. Every tool serves a distinct step in the workflow without redundancy or unnecessary surface area.

    Completeness5/5

    The server covers the full advisory pipeline: evidence search, fit validation, performance prediction, recommendation, and launch configuration generation. It intentionally stops before executing deployment, which is consistent with its stated purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo recent community issues

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