Skip to main content
Glama
779,765 tools. Updated 2026-11-13 23:58

"Automating Testing and Debugging for LLMs in Production" matching MCP tools:

  • Generate auth signatures clients need to subscribe to private or presence channels, matching your auth endpoint for testing and debugging mismatches. Presence channels need channel_data with user_id.
    MIT
  • Get a snapshot of every release track—internal, closed testing, open testing, production—showing version codes, rollout status, and staged-rollout percentages to pinpoint exactly where your release stands.
    MIT
  • Switch Hedera blockchain networks to configure SDK connections, mirror nodes, and RPC endpoints for development, testing, or production deployment.
    Apache 2.0
  • Creates a new custom closed testing track for Android app distribution, enabling targeted testing beyond the built-in tracks.
    MIT

Matching MCP Servers

  • A
    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
    ISC
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that gives AI agents direct access to VMware vSphere infrastructure, enabling VM lifecycle management, snapshots, datastore operations, networking, and more via 55 typed tools built on govc.
    48 npm
    MIT

Matching MCP Connectors

  • Generate, validate, and deep-crawl /llms.txt and /llms-full.txt files for AI agents.

  • Crawls any website and generates a standards-compliant /llms.txt file and JSON-LD schema bundle.

  • Start a background Grok job for implementation, debugging, testing, or review. It can edit files and run commands in the working directory; poll the returned job ID for completion.
    MIT
    Destructive
  • Create a custom closed-testing track for your app. Set up additional named tracks beyond internal, alpha, beta, and production to manage testing groups.
    Apache 2.0
  • Monitor and verify AI orchestration system health, model configurations, and capability test outcomes to ensure system readiness and aid in debugging processes.
    MIT
  • Create and run a Kubernetes pod with a specified container image for one-off tasks, debugging, or testing. Supports custom commands, environment variables, and restart policy.
    Apache 2.0
  • Decode JWT tokens to inspect header and payload, check expiry status, or create unsigned tokens for testing. Not for production authentication.
    MIT
  • Diagnose N1MM Logger+ server health by checking connection status, parse errors, and memory to resolve contest failures and guide production debugging.
    GPL 3.0
  • Retrieve a list of Marcus Oates's projects, with optional filtering by status: production, testing, or proof of concept.
    -
  • Generate production-ready RAG architecture blueprints with vector DBs (ChromaDB, Qdrant, Pinecone), local LLMs (Ollama, vLLM), and LangGraph/LangChain orchestration for any target use case.
    MIT
  • Save a recall query baseline to track expected results for regression testing. Future evaluations automatically verify consistency.
    MIT