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deep-code-reasoning-mcp
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deep-code-reasoning-mcp

Active·★ 108·MIT·Updated 2026-10-21

Deep Code Reasoning MCP pairs Claude Code with Google's Gemini for complementary code analysis. The README's idea is an escalation model that treats language models like heterogeneous microservices: Claude Code handles local context, incremental patches and CLI-native workflows, while Gemini 2.5 Pro, with its 1M-token context window, takes huge-context sweeps and failures that span logs, traces and code.

The server advertises execution flow tracing, cross-system impact analysis, performance modelling (N+1 patterns, memory leaks, algorithmic bottlenecks), hypothesis testing, and conversational analysis in which Claude and Gemini hold a dialogue to iterate on a problem. It needs Node.js 18 or later and a Gemini API key from Google AI Studio, installs from source with npm, and can be added to Claude Desktop or Cursor through a short MCP configuration.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-17.

License
MIT
Latest release
No GitHub releases
Last commit
2026-10-14
Contributors
2
Forks
14
Open issues and PRs
7
First published
2025-06-11

Source: GitHub, npm and PyPI public APIs.

#ai#ai-tools#claude#code-analysis#code-intelligence#code-reasoning#debugging#developer-tools
$ Install
$ git clone https://github.com/Haasonsaas/deep-code-reasoning-mcp.git && cd deep-code-reasoning-mcp && npm install && npm run build
↗ Visit site★ GitHub
01

Features

01Gemini 2.5 Pro Preview with 1M token context window
02Conversational AI-to-AI dialogues between Claude and Gemini
03Execution flow tracing and cross-system impact analysis
04Performance modeling and hypothesis testing
05Long context support for analyzing large codebases
02

Why choose it

+Uses Gemini's 1M-token context for large codebases that exceed what a single local session handles well.
+Lets Claude and Gemini work together, including iterative AI-to-AI dialogue on a problem.
+Covers execution flow tracing, impact analysis across services and performance bottleneck detection.
+Simple setup: Node.js, one API key and a short MCP config for Claude Desktop or Cursor.
03

Trade-offs

!It requires a Google Gemini API key, so analysis calls go to Google's API and may incur costs.
!The README names a specific Gemini 2.5 Pro Preview (05-06) model, so behaviour depends on a preview model that can change or be retired.
!It must be cloned and built with npm rather than installed from a package registry.
04

Maintenance check

ActiveChecked: 2026-10-19
Last commit
2026-10-14
Commits, last 90 days
22
Releases, last 90 days
0
Latest release
—
Open issues
7
Recent issues with at least one comment
0/7
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 0, 1, 0, 0, 5, 0, 0, 5, 1, 0, 4, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #40 Promote latent specs into a documented conformance contract for deep code reasoning mcp (model context protocol mcp server)0 comments · 2026-05-10
  • #39 Expose operational telemetry and SLO gates for deep code reasoning mcp (model context protocol mcp server)0 comments · 2026-05-10
  • #38 Add adversarial safety fixtures for deep code reasoning mcp (model context protocol mcp server)0 comments · 2026-05-10
  • #37 Make provenance and evidence traceability first-class for deep code reasoning mcp (model context protocol mcp server)0 comments · 2026-05-10
  • #36 Add a research-backed acceptance harness for deep code reasoning mcp (model context protocol mcp server)0 comments · 2026-05-10

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Claude Desktop
Claude Desktop
Verified via docs
Cursor
Cursor
Verified via docs
06

Quick start

1
$ git clone https://github.com/Haasonsaas/deep-code-reasoning-mcp.git
2
$ cd deep-code-reasoning-mcp
3
$ npm install
4
$ npm run build
07

Use cases

↳Distributed trace analysis across multiple services with large log volumes
↳Performance regression hunting with correlation of deployment timelines and metrics
↳Hypothesis-driven debugging with extensive scenario testing
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
evalops /
deep-code-reasoning-mcp
↗

MCP server that hands hard code analysis from Claude Code to Gemini's 1M context

10814MIT
Last commit2d ago
StatusActive
CategoryDev Tooling
Contributors2
Links
Documentation↗Discussion↗Issues↗Releases↗
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