Skip to main content
Glama
SpeedosDK

predictive-debugger

by SpeedosDK
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to predictive-debugger

No user-submitted related servers found.

    Related Servers

    • Debugging MCP Server

      luischang07
      F
      license
      A
      quality
      D
      maintenance
      Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
      9
      -

    • UpToCode

      DDYRich72
      A
      license
      Not graded
      quality
      C
      maintenance
      It lets clients request design-time audits of Python and TypeScript agent applications for defects such as unbounded loops, ungated destructive actions, weak argument validation, insufficient run budgets, absent resiliency controls, overlooked evals, and poor observability. Findings include supporting evidence and feed an approval-driven mechanism for reviewing proposed fixes without mutating the original source.
      25 PyPI
      MIT

    • FailTrace

      LBarimi
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to capture and replay intermittent software failures, minimize reproductions, compare trials, search regressions, verify proposed fixes against a saved failing baseline, and retrieve investigation evidence without rerunning commands.
      86 npm
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct granularity or data source: check_types (compiler diagnostics), analyze_file (single-file metrics), scan_project (whole-tree ranking), map_dependencies (import graph), analyze_logs (log lines), list_providers (environment probe), and predict_failures (model verdict). The descriptions explicitly clarify the boundary between analyze_file and predict_failures, and between scan_project and analyze_file, removing overlap.

    Naming Consistency5/5

    All seven tools follow a consistent snake_case verb_noun pattern (check_types, map_dependencies, analyze_file, scan_project, analyze_logs, list_providers, predict_failures). Verbs are predictable and nouns name the resource clearly.

    Tool Count5/5

    Seven tools is well-scoped for a predictive debugging server, covering static analysis, dependency mapping, logs, environment probing, and model-based prediction without redundancy. Each tool earns its place with a clear role in the workflow.

    Completeness4/5

    The surface covers the debugging lifecycle well: project triage, per-file analysis, dependency context, logs, provider diagnostics, and independent failure prediction. Minor gaps exist, such as no way to read raw file content or validate configuration directly, but agents can work around these with standard file access.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources