Deep Code Reasoning MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| escalate_analysisA | Hand off complex analysis to Gemini when Claude Code hits reasoning limits. Gemini will perform deep semantic analysis beyond syntactic patterns. |
| trace_execution_pathC | Use Gemini to perform deep execution analysis with semantic understanding |
| hypothesis_testC | Use Gemini to test specific theories about code behavior |
| cross_system_impactC | Use Gemini to analyze changes across service boundaries |
| performance_bottleneckC | Use Gemini for deep performance analysis with execution modeling |
| start_conversationC | Start a conversational analysis session between Claude and Gemini |
| continue_conversationC | Continue an ongoing analysis conversation |
| finalize_conversationC | Complete the conversation and get final analysis results |
| get_conversation_statusC | Check the status and progress of an ongoing conversation |
| run_hypothesis_tournamentC | Run a competitive hypothesis tournament to find root causes. Multiple AI conversations test different theories in parallel, with evidence-based scoring and elimination rounds. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
The tools have overlapping purposes centered around conversational analysis and Gemini-assisted reasoning, which could cause confusion. For example, 'escalate_analysis', 'hypothesis_test', 'performance_bottleneck', and 'trace_execution_path' all involve handing off to Gemini for deeper analysis, making them potentially ambiguous. However, the descriptions provide some differentiation in their specific focuses.
The naming is inconsistent with mixed conventions: some use snake_case (e.g., 'continue_conversation'), others use camelCase-like compound words (e.g., 'cross_system_impact'), and there is no clear verb_noun pattern. This lack of a predictable naming scheme makes the tool set harder to navigate and less coherent.
With 10 tools, the count is reasonable for a server focused on deep code reasoning and conversational analysis. It covers initiation, continuation, status checks, and various specialized analysis types, which aligns well with the server's purpose without being overly bloated or sparse.
The tool set appears to cover the core lifecycle of conversational analysis (start, continue, status, finalize) and includes specialized tools for different reasoning scenarios (e.g., hypothesis testing, performance analysis). Minor gaps might exist, such as tools for managing or reviewing past conversations, but the surface is largely complete for the inferred domain.