Skip to main content
Glama

Deep Code Reasoning MCP Server

by haasonsaas
MIT License
19

performance_bottleneck

Identify and analyze performance bottlenecks in code using execution modeling. Specify code paths and suspected issues to get insights for optimization.

Instructions

Use Gemini for deep performance analysis with execution modeling

Input Schema

NameRequiredDescriptionDefault
code_pathYes
profile_depthNo

Input Schema (JSON Schema)

{ "properties": { "code_path": { "properties": { "entry_point": { "properties": { "file": { "type": "string" }, "function_name": { "type": "string" }, "line": { "type": "number" } }, "required": [ "file", "line" ], "type": "object" }, "suspected_issues": { "items": { "type": "string" }, "type": "array" } }, "required": [ "entry_point" ], "type": "object" }, "profile_depth": { "default": 3, "maximum": 5, "minimum": 1, "type": "number" } }, "required": [ "code_path" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/haasonsaas/deep-code-reasoning-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server