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MCP server · AI

Code Lens

Gemini-powered MCP server for code analysis.

Unclaimed last commit 7 months ago ai
37Low

Scored a month ago · breakdown

About Code Lens

Code Lens is an MCP server published by j0hanz in the AI category: gemini-powered MCP server for code analysis.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

Claude Code
claude mcp add code-lens -- npx -y @j0hanz/code-lens-mcp
npx
npx -y @j0hanz/code-lens-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (13)

analyze_pr_impactAssess severity, categories, breaking changes, rollback complexity

Parameters not published.

analyze_time_space_complexityBig-O complexity analysis and degradation detection

Parameters not published.

ask_about_codeNatural-language Q&A about a cached file

Parameters not published.

detect_api_breaking_changesDetect breaking API/interface changes

Parameters not published.

detect_code_smellsStructural code smells (Fowler taxonomy)

Parameters not published.

generate_diffCapture git diff (unstaged/staged) and cache server-side

Parameters not published.

generate_documentationJSDoc/TSDoc/docstring stubs for public exports

Parameters not published.

generate_review_summaryPR summary, risk rating, merge recommendation

Parameters not published.

generate_test_planPrioritized test cases and coverage guidance

Parameters not published.

load_fileCache a source file for analysis tools

Parameters not published.

Show all 13 tools
refactor_codeComplexity, duplication, naming, grouping suggestions

Parameters not published.

verify_logicVerify algorithms via Gemini code execution sandbox

Parameters not published.

web_searchGoogle Search with Grounding

Parameters not published.

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README

Code Lens MCP Server

npm version

Install in VS Code Install in VS Code Insiders Install in Visual Studio

Add to LM Studio Install in Cursor Install in Goose

Gemini-powered MCP server for automated code review, analysis, and documentation.

Overview

Code Lens is a Model Context Protocol server that uses Google Gemini to analyze diffs, review pull requests, detect code smells, generate documentation, and verify logic. It exposes 13 tools, 7 resources, and 5 prompts over stdio transport.

Key Features

  • PR review pipeline — generate diffs, assess impact, detect breaking API changes, and produce review summaries with merge recommendations
  • File analysis — load any source file for refactoring suggestions, code smell detection, documentation generation, and natural-language Q&A
  • Logic verification — verify algorithms using Gemini's code execution sandbox
  • Structured outputs — all tools return validated JSON via Zod v4 output schemas
  • Web search — Google Search with Grounding for up-to-date information retrieval
  • Task lifecycle support — every tool except load_file can run via MCP tasks with polling, cancellation, and progress updates

Requirements

Quick Start

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Docker

docker run -i --rm -e GEMINI_API_KEY="your-api-key" ghcr.io/j0hanz/code-lens

Or with Docker Compose:

GEMINI_API_KEY=your-api-key docker compose up

Client Configuration

Install in VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Or install via CLI:

code --add-mcp '{"name":"code-lens","command":"npx","args":["-y","@j0hanz/code-lens-mcp@latest"]}'

For more info, see VS Code MCP docs.

Install in VS Code Insiders

Add to .vscode/mcp.json:

{
  "servers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Or install via CLI:

code-insiders --add-mcp '{"name":"code-lens","command":"npx","args":["-y","@j0hanz/code-lens-mcp@latest"]}'

For more info, see VS Code Insiders MCP docs.

Install in Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Cursor MCP docs.

Install in Visual Studio

Add to mcp.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Visual Studio MCP docs.

Install in Goose

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Goose MCP docs.

Add to LM Studio

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see LM Studio MCP docs.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Claude Desktop MCP docs.

claude mcp add code-lens -- npx -y @j0hanz/code-lens-mcp@latest

Or add to config:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Claude Code MCP docs.

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Windsurf MCP docs.

amp mcp add code-lens -- npx -y @j0hanz/code-lens-mcp@latest

Or add to config:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Amp MCP docs.

Add to cline_mcp_settings.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Cline MCP docs.

Add to ~/.codex/config.yaml:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Codex CLI MCP docs.

Add to .vscode/mcp.json:

{
  "servers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see GitHub Copilot MCP docs.

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Warp MCP docs.

Add to .kiro/settings/mcp.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Kiro MCP docs.

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Gemini CLI MCP docs.

Add to ~/.config/zed/settings.json:

{
  "context_servers": {
    "code-lens": {
      "settings": {
        "command": "npx",
        "args": ["-y", "@j0hanz/code-lens-mcp@latest"]
      }
    }
  }
}

For more info, see Zed MCP docs.

Add to your VS Code settings.json under augment.advanced:

{
  "augment.advanced": {
    "mcpServers": [
      {
        "id": "code-lens",
        "command": "npx",
        "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
        "env": {
          "GEMINI_API_KEY": "your-api-key"
        }
      }
    ]
  }
}

For more info, see Augment MCP docs.

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Roo Code MCP docs.

{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

For more info, see Kilo Code MCP docs.

Use Cases

PR Review Pipeline

  1. Call generate_diff to capture unstaged or staged changes
  2. Run analyze_pr_impact to assess severity and breaking changes
  3. Run generate_review_summary for a risk rating and merge recommendation
  4. Run detect_api_breaking_changes to check for public API breakage
  5. Run generate_test_plan to produce prioritized test cases

Single-File Analysis

  1. Call load_file to cache a source file
  2. Run refactor_code for structural improvement suggestions
  3. Run detect_code_smells for Fowler-taxonomy anti-patterns
  4. Run generate_documentation to generate JSDoc/TSDoc stubs
  5. Use ask_about_code for natural-language Q&A about the file
  6. Use verify_logic to verify algorithms with code execution

Performance Audit

  1. Call generate_diff on a performance-sensitive change
  2. Run analyze_time_space_complexity to detect Big-O degradation

Research

  • Use web_search for up-to-date documentation or API references via Google Search with Grounding

Architecture

[MCP Client]
    │
    │ Transport: stdio
    ▼
[MCP Server: code-lens]
    │ Entry: src/index.ts → src/server.ts
    │
    ├── initialize / initialized (lifecycle handshake)
    │
    ├── tools/call ──────────────────────────────────────────────
    │   │
    │   │ Diff-based tools (require generate_diff first):
    │   ├── [generate_diff]              Sync — capture git diff
    │   ├── [analyze_pr_impact]          Flash — severity & impact
    │   ├── [generate_review_summary]    Flash — risk & merge rec
    │   ├── [generate_test_plan]         Flash — test cases
    │   ├── [analyze_time_space_complexity] Flash — Big-O analysis
    │   ├── [detect_api_breaking_changes]  Flash — API breakage
    │   │
    │   │ File-based tools (require load_file first):
    │   ├── [load_file]                  Sync — cache source file
    │   ├── [refactor_code]              Flash — refactoring
    │   ├── [detect_code_smells]         Flash — smell detection
    │   ├── [generate_documentation]     Flash — doc stubs
    │   ├── [ask_about_code]             Flash — Q&A
    │   ├── [verify_logic]               Flash — code execution
    │   │
    │   │ Standalone:
    │   └── [web_search]                 Flash — Google Search
    │
    ├── resources/read ──────────────────────────────────────────
    │   ├── [internal://instructions]        Server usage guide
    │   ├── [internal://tool-catalog]        Tool reference
    │   ├── [internal://workflows]           Workflow sequences
    │   ├── [internal://server-config]       Runtime config
    │   ├── [internal://tool-info/{name}]    Per-tool details
    │   ├── [internal://diff/current]        Cached diff (text/x-patch)
    │   └── [internal://file/current]        Cached source file
    │
    ├── prompts/get ─────────────────────────────────────────────
    │   ├── [get-help]           Full server instructions
    │   ├── [review-guide]       Tool + focus area workflow
    │   ├── [select-workflow]    Pipeline by change type
    │   ├── [analyze-file]       File analysis pipeline
    │   └── [tool-chain]         Tool prerequisite chain
    │
    └── Capabilities: structured output, tool annotations, notifications

Request Lifecycle

[Client] -- initialize {protocolVersion, capabilities} --> [Server]
[Server] -- {protocolVersion, capabilities, serverInfo} --> [Client]
[Client] -- notifications/initialized --> [Server]
[Client] -- tools/call {name, arguments} --> [Server]
[Server] -- notifications/progress {token, progress, total} --> [Client]
[Server] -- {content, structuredContent, isError?} --> [Client]

Task Lifecycle

  • generate_diff and load_file are sync-only. All other tools advertise taskSupport: optional.
  • Requestors may supply a task TTL. The server uses that value up to MAX_TASK_TTL_MS, or falls back to TASK_TTL_MS when omitted.
  • Cancelled tasks remain terminal as cancelled, and tasks/result returns a cancellation-shaped tool result.

MCP Surface

Tools

Tool Description Prerequisite Model
generate_diff Capture git diff (unstaged/staged) and cache server-side — Sync
analyze_pr_impact Assess severity, categories, breaking changes, rollback complexity generate_diff Flash
generate_review_summary PR summary, risk rating, merge recommendation generate_diff Flash
generate_test_plan Prioritized test cases and coverage guidance generate_diff Flash
analyze_time_space_complexity Big-O complexity analysis and degradation detection generate_diff Flash
detect_api_breaking_changes Detect breaking API/interface changes generate_diff Flash
load_file Cache a source file for analysis tools — Sync
refactor_code Complexity, duplication, naming, grouping suggestions load_file Flash
detect_code_smells Structural code smells (Fowler taxonomy) load_file Flash
generate_documentation JSDoc/TSDoc/docstring stubs for public exports load_file Flash
ask_about_code Natural-language Q&A about a cached file load_file Flash
verify_logic Verify algorithms via Gemini code execution sandbox load_file Flash
web_search Google Search with Grounding — Flash

Resources

URI Description MIME
internal://instructions Complete server usage instructions text/markdown
internal://tool-catalog Tool reference: models, params, outputs, data flow text/markdown
internal://workflows Recommended workflows and tool sequences text/markdown
internal://server-config Runtime configuration and limits text/markdown
internal://tool-info/{toolName} Per-tool details (parameterized) text/markdown
internal://diff/current Most recently generated diff text/x-patch
internal://file/current Most recently loaded source file text/plain

Prompts

Prompt Description
get-help Full server instructions: capabilities, tools, resources, constraints
review-guide Workflow guide for a specific tool and focus area
select-workflow Recommended tool pipeline based on change type
analyze-file Goal-based tool pipeline for single-file analysis
tool-chain Full prerequisite chain for a given tool

MCP Capabilities

Tool Annotations

All tools expose MCP tool annotations:

Annotation Used
readOnlyHint Yes
destructiveHint Yes
idempotentHint Yes
openWorldHint Yes

Structured Output

All Gemini-powered tools return validated structuredContent alongside text content, using Zod v4 output schemas.

Configuration

Variable Default Description
GEMINI_API_KEY — Required. Gemini API key. Falls back to GOOGLE_API_KEY.
GEMINI_MODEL gemini-3-flash-preview Override the default Gemini model for all tools.
MAX_DIFF_CHARS 120000 Maximum diff size in characters.
MAX_CONCURRENT_CALLS 10 Maximum concurrent Gemini API calls.
MAX_CONCURRENT_BATCH_CALLS 2 Maximum concurrent batch Gemini calls.
MAX_CONCURRENT_CALLS_WAIT_MS 2000 Wait timeout for concurrency semaphore.
TASK_TTL_MS 300000 Default task result retention in milliseconds when the request does not specify task.ttl.
MAX_TASK_TTL_MS 3600000 Upper bound for request-provided task TTL. Set to 0 to remove the cap.
GEMINI_BATCH_MODE off Enable Gemini batch mode.
GEMINI_HARM_BLOCK_THRESHOLD BLOCK_NONE Safety filter threshold (BLOCK_NONE, BLOCK_ONLY_HIGH, BLOCK_MEDIUM_AND_ABOVE, BLOCK_LOW_AND_ABOVE).
GEMINI_DIFF_CACHE_ENABLED false Enable Gemini context caching for large diffs.
GEMINI_DIFF_CACHE_TTL_S 3600 Cache TTL in seconds (when caching is enabled).

CLI Flags

npx @j0hanz/code-lens-mcp@latest --model gemini-2.5-flash --max-diff-chars 200000
Flag Env Equivalent
--model, -m GEMINI_MODEL
--max-diff-chars MAX_DIFF_CHARS

Security

Control Status
Input validation Zod v4 schema validation on all tool inputs
Path safety load_file restricts paths to workspace root
Stdout safety Logs to stderr; stdout reserved for MCP protocol
Non-root container Docker runs as dedicated mcp user

Development

npm install          # Install dependencies
npm run build        # Compile TypeScript
npm run dev          # Watch mode
npm run dev:run      # Run with --watch and .env
npm run start        # Run compiled server
npm run type-check   # Type-check src + tests
npm run lint         # ESLint
npm run test         # Run test suite
npm run format       # Prettier
npm run inspector    # MCP Inspector
npm run knip         # Dead code detection

Build and Release

  • CI: .github/workflows/release.yml
  • Docker: Multi-stage build (Dockerfile) with node:24-alpine
  • Docker Compose: docker-compose.yml
  • npm: Published as @j0hanz/code-lens-mcp

Troubleshooting

  • Missing API key: Set GEMINI_API_KEY or GOOGLE_API_KEY in your environment or client config env block.
  • "E_NO_DIFF" errors: Call generate_diff before running any diff-based review tool.
  • "E_NO_FILE" errors: Call load_file before running any file analysis tool.
  • Large diffs truncated: Increase MAX_DIFF_CHARS (default: 120,000 characters).
  • Stdout noise: Ensure no other processes write to stdout; the server uses stdio transport.

Credits

Contributing and License

MIT License. See LICENSE for details.

Contributions welcome via pull requests.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Code Lens

How do I install Code Lens?

Run claude mcp add code-lens -- npx -y @j0hanz/code-lens-mcp, then add the server to your MCP client's configuration.

Is Code Lens safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Code Lens still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.