Skip to main content
Glama
rajendarmuddasani

graph-mcp-java-gen

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GRAPH_BACKENDNoBackend for the graph catalog. Defaults to the local JSON fixture. Set to 'neo4j' to use a live Neo4j database.fixture
OPENAI_API_KEYNoAPI key for OpenAI, required to enable the multi-agent NLP tool (generate_java_test_nlp).

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
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_fixture_metadataA

Return provenance and version information for the active graph fixture.

search_graphB

Search the bounded synthetic graph by class, qualified name, or method.

generate_java_testD

Generate Java only when graph grounding, syntax, contract, and safety pass.

generate_java_test_from_intentC

Parse a bounded natural-language request, generate Java, and enforce all gates.

generate_java_test_nlpB

Multi-agent pipeline: LLM parses free-form NL, generates Java, LLM reviews it.

Agent 1 (LLMIntentParser) normalises natural language to a structured intent. The deterministic generator produces graph-cited, validated Java source. Agent 2 (ReviewAgent) audits the result against a six-item checklist. Requires OPENAI_API_KEY in the environment.

validate_java_sourceC

Validate bounded Java source against syntax, graph, contract, and safety gates.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 6 tools

Disambiguation4/5

The tools are mostly distinct: metadata retrieval, graph search, three variations of Java test generation, and validation. The three generate_java_test* tools could be confused, but their descriptions clearly differentiate by input type (structured, bounded NL, free-form NL with review). Minor overlap exists but descriptions resolve ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: get_fixture_metadata, search_graph, generate_java_test, generate_java_test_from_intent, generate_java_test_nlp, validate_java_source. The naming is predictable and uniform throughout the set.

Tool Count5/5

With 6 tools, the server is well-scoped for its purpose of generating and validating Java tests from a synthetic graph. Each tool serves a clear role in the workflow, and the count feels appropriate—not too few to be inadequate, not too many to be unwieldy.

Completeness5/5

The tool surface covers the full lifecycle: metadata retrieval, graph search for grounding, three generation pathways (including NL-based variants), and validation. There are no obvious missing operations for the stated purpose; the server provides a complete pipeline from context gathering to output validation.

Maintenance

ActivityMaintained
ResponsivenessNo issues