
Code Lens
- Updated March 9, 2026
- j0hanz/code-lens
Code Lens is a MCP server that connects coding agents to Gemini-powered code analysis over a stdio MCP package.
About
Code Lens is a Gemini-backed MCP server positioned for code analysis with a lens metaphor: helping agents zoom into modules, relationships, and implementation details inside your working tree. developers validating integrations or extending an existing codebase install it when they want analysis tooling that stays inside the MCP ecosystem rather than switching to a separate web UI. The package publishes to npm as @j0hanz/code-lens-mcp and uses stdio transport, which keeps setup aligned with Claude Code, Cursor, and similar local agent hosts. Place it on the Build integrations shelf because its value is connecting LLM analysis to your day-to-day coding session, not running production monitors or formal ship gates. Pair it with clear API key management for Gemini and a pinned package version; treat README and repo docs as the source of truth for exact tool names and parameters since this catalog ingest only carries schema-level description.
- Gemini-powered code analysis via MCP over stdio
- npm package @j0hanz/code-lens-mcp at registry version 0.9.5
- Designed as a focused code-lens style analysis bridge for agents
- GitHub-hosted j0hanz/code-lens with MCP 2025-12-11 server schema
- Complements other j0hanz analysis servers with a lens-oriented analysis angle
Code Lens by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add code-lens -- npx -y @j0hanz/code-lens-mcpAdd your badge
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| Package | @j0hanz/code-lens-mcp |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | March 9, 2026 |
| Repository | j0hanz/code-lens ↗ |
What it does
Add a Gemini MCP layer so your agent can lens into code structure and behavior while you integrate features across the stack.
Who is it for?
Best when you already use MCP in Build and want a npm stdio server specialized for code-lens style analysis with Gemini.
Skip if: Skip if you only need one-off chat explanations, or and cannot run Node/npm MCP servers or supply Gemini credentials.
What you get
Once configured, your agent can invoke Code Lens MCP tools for Gemini-backed analysis while you build and wire integrations.
- Working stdio MCP connection to Code Lens from your agent
- Gemini-mediated analysis calls during build and integration tasks
- Documented local MCP config snippet for team reuse
By the numbers
- Registry package version 0.9.5
- One npm identifier @j0hanz/code-lens-mcp
- stdio transport type in server.schema.json metadata
README.md
Code Lens MCP Server
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_filecan run via MCP tasks with polling, cancellation, and progress updates
Requirements
- Node.js >= 24
- A Gemini API key (
GEMINI_API_KEYorGOOGLE_API_KEY)
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.
Install in 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.
Install in Claude Desktop
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.
Install in Claude Code
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.
Install in Windsurf
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.
Install in Amp
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.
Install in Cline
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.
Install in Codex CLI
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.
Install in GitHub Copilot
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.
Install in Warp
{
"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.
Install in Kiro
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.
Install in Gemini CLI
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.
Install in Zed
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.
Install in Augment
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.
Install in Roo Code
{
"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.
Install in Kilo Code
{
"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
- Call
generate_diffto capture unstaged or staged changes - Run
analyze_pr_impactto assess severity and breaking changes - Run
generate_review_summaryfor a risk rating and merge recommendation - Run
detect_api_breaking_changesto check for public API breakage - Run
generate_test_planto produce prioritized test cases
Single-File Analysis
- Call
load_fileto cache a source file - Run
refactor_codefor structural improvement suggestions - Run
detect_code_smellsfor Fowler-taxonomy anti-patterns - Run
generate_documentationto generate JSDoc/TSDoc stubs - Use
ask_about_codefor natural-language Q&A about the file - Use
verify_logicto verify algorithms with code execution
Performance Audit
- Call
generate_diffon a performance-sensitive change - Run
analyze_time_space_complexityto detect Big-O degradation
Research
- Use
web_searchfor 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_diffandload_fileare sync-only. All other tools advertisetaskSupport: optional.- Requestors may supply a task TTL. The server uses that value up to
MAX_TASK_TTL_MS, or falls back toTASK_TTL_MSwhen omitted. - Cancelled tasks remain terminal as
cancelled, andtasks/resultreturns 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) withnode:24-alpine - Docker Compose:
docker-compose.yml - npm: Published as
@j0hanz/code-lens-mcp
Troubleshooting
- Missing API key: Set
GEMINI_API_KEYorGOOGLE_API_KEYin your environment or client configenvblock. - "E_NO_DIFF" errors: Call
generate_diffbefore running any diff-based review tool. - "E_NO_FILE" errors: Call
load_filebefore 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
- Google Gemini — LLM backend (
@google/genai) - Model Context Protocol SDK — MCP framework (
@modelcontextprotocol/sdk) - Zod — Schema validation (
zodv4) - parse-diff — Diff parsing
Contributing and License
MIT License. See LICENSE for details.
Contributions welcome via pull requests.
Recommended MCP Servers
How it compares
Sibling-style Gemini analysis MCP (lens-oriented), not the Ship-phase Code Review Analyst server.
FAQ
Who is Code Lens for?
It is for developers and small teams who use AI agents daily and want Gemini analysis exposed as MCP tools during development.
When should I use Code Lens?
Use it while integrating features or exploring unfamiliar code paths when you need repeatable, tool-based analysis from the agent.
How do I add Code Lens to my agent?
Add @j0hanz/code-lens-mcp via npm, configure the stdio command in your MCP settings, provide Gemini API configuration, and reload the agent.