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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYNoYour OpenAI API key (used when OpenAI is the LLM provider)
ANTHROPIC_API_KEYNoYour Anthropic API key (used when Anthropic is the LLM provider)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
diagnose_test_failureA

Perform deep root-cause analysis of a failing test. Returns ranked hypotheses with confidence scores, evidence, and precise locations. Call this first when a test fails. Prefer this over guessing from the raw test output.

propose_minimal_fixA

Generate the smallest possible high-confidence patch for a diagnosed root cause. Always prefer minimal edits. Returns a unified diff, explanation, confidence, and risk level. Call diagnose_test_failure first when possible.

assess_fix_safetyA

Evaluate whether a proposed patch is likely to introduce regressions. Returns risk level, potential side effects, and a clear recommendation. Use before applying any non-trivial fix.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool handles a distinct stage of a clear pipeline: diagnose, propose, assess. There is no overlap or ambiguity about which tool to call at each step.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: diagnose_test_failure, propose_minimal_fix, assess_fix_safety. The verbs clearly indicate distinct actions and the nouns describe the target artifact.

Tool Count4/5

Three tools is on the smaller side, but each covers a necessary phase of the test-fix workflow. The count is reasonable for a focused MCP server, though slightly thin.

Completeness4/5

The tools cover the core diagnose-propose-assess lifecycle well. A minor gap is the lack of an explicit tool to apply or commit the fix, but that may be intentionally outside the server's scope.

Maintenance

ActivityMaintained
ResponsivenessNo issues