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Gemini Daily MCP Server (Compressed)

by kdoooh000h

Gemini Daily MCP Server (Compressed) โšก

npm version license

Token-optimized MCP server for Google Gemini CLI with 43.8% token savings through Progressive Disclosure strategy.

๐ŸŽฏ Why Compressed Version?

This is an experimental token-optimized variant of gemini-daily-mcp that reduces tool schema overhead by 43.8% while maintaining full functionality.

Token Savings Comparison

Version

Schema Size

Tokens

Savings

Original

1,227 bytes

306 tokens

-

Compressed โšก

691 bytes

172 tokens

43.8%

Impact:

  • Per conversation: Save 134 tokens

  • 3,000 conversations/month: Save ~$1.61/month

  • Scale to 50 tools: Save ~$66/month (61%)

๐Ÿ’ก How It Works: Progressive Disclosure

Traditional Approach (Verbose Schema)

{ "name": "gemini", "description": "Execute Gemini CLI in non-interactive mode for AI assistance with high Token efficiency", "inputSchema": { "properties": { "prompt": { "type": "string", "description": "The coding task, question, or analysis request" }, "sessionId": { "type": "string", "description": "Optional session ID for conversational context (saves up to 74% tokens in multi-turn conversations)" } } } }

Size: 731 bytes โ‰ˆ 182 tokens

Progressive Disclosure (Compressed Schema)

{ "name": "gemini", "description": "Execute Gemini CLI. Use help for details", "inputSchema": { "properties": { "prompt": {"type": "string"}, "sessionId": {"type": "string"} } } }

Size: 281 bytes โ‰ˆ 70 tokens (61.6% savings)

Where Did the Details Go?

They're in the enhanced help tool! When Claude needs details:

# Claude calls: mcp__gemini-daily-compressed__help # Returns comprehensive documentation: # Gemini Daily MCP - Detailed Documentation ## gemini Tool Execute Gemini CLI in non-interactive mode for AI assistance. **Parameters:** - prompt (required, string): The coding task, question, or analysis request - sessionId (optional, string): Session ID for conversational context - Saves up to 74% tokens in multi-turn conversations - Obtained from previous gemini call's _meta.sessionId - resetSession (optional, boolean): Reset session history before processing - model (optional, string): Specify which Gemini model to use - Default: gemini-2.5-flash - Options: gemini-2.5-flash, gemini-2.5-flash-lite, gemini-2.5-pro, gemini-3-pro-preview **Example:** { "prompt": "Write a Python function to calculate fibonacci", "sessionId": "session-abc123", "model": "gemini-2.5-flash" } ...

Result:

  • โœ… 90% of conversations: Don't need details โ†’ Save tokens

  • โœ… 10% of conversations: Call help once โ†’ Get full docs

  • โœ… Overall: 43.8% token savings

๐Ÿš€ Features

Same Functionality as Original

  • โœ… Full Gemini CLI integration

  • โœ… Session management (saves up to 74% tokens in multi-turn conversations)

  • โœ… Gemini 3 support (gemini-3-pro-preview with fallback)

  • โœ… Multi-model selection (Flash, Flash-Lite, Pro, Gemini 3)

  • โœ… Comprehensive error handling

Token Optimization

  • โšก 43.8% smaller tool schemas

  • โšก Progressive Disclosure via enhanced help tool

  • โšก Preserves all type information

  • โšก Maintains parameter validation

๐Ÿ“ฆ Installation

Prerequisites

  • Google Gemini CLI must be pre-installed and configured

    • Install: Follow Google's official Gemini CLI installation guide

    • Setup: Run gemini auth login with your Google account

    • API Key: Set GOOGLE_API_KEY environment variable or configure via gemini config

  • Claude Code or Claude Desktop installed

Claude Code

# Clone this repository git clone https://github.com/kdoooh000h/gemini-daily-mcp-compressed.git cd gemini-daily-mcp-compressed # Install dependencies npm install # Build npm run build # Add to Claude Code # Edit your .mcp.json: { "mcpServers": { "gemini-daily-compressed": { "command": "node", "args": ["/path/to/gemini-daily-mcp-compressed/dist/index.js"], "env": { "GEMINI_ENABLED": "true", "SESSION_TTL_HOURS": "24", "MAX_SESSIONS": "100", "GEMINI_CLI_COMMAND": "gemini", "LOG_LEVEL": "info" } } } }

Claude Desktop

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "gemini-daily-compressed": { "command": "node", "args": ["/path/to/gemini-daily-mcp-compressed/dist/index.js"], "env": { "GEMINI_ENABLED": "true", "SESSION_TTL_HOURS": "24", "GEMINI_CLI_COMMAND": "gemini" } } } }

๐Ÿ”ง Tools

gemini - AI Coding Assistant

Execute Gemini CLI with optional session support.

Basic Usage:

Use gemini to explain this Python function

Advanced Usage:

# With session for multi-turn conversation Use gemini with sessionId "my-session" to analyze this code # Continue conversation Use gemini with sessionId "my-session" to implement the improvements # Specify model Use gemini with model "gemini-3-pro-preview" for complex analysis # Reset session Use gemini with sessionId "my-session" and resetSession true to start fresh

listSessions - Session Management

List all active conversation sessions.

ping - Connection Test

Test if the MCP server is working properly.

help - Enhanced Documentation

Get detailed documentation for all tools (this is where the detailed info lives in the compressed version).

๐Ÿ“Š Compression Details

Strategy

  1. Remove verbose descriptions from tool schemas

  2. Preserve all functionality:

    • Parameter names

    • Type information

    • Required fields

    • Enum values

  3. Enhance help tool to provide complete documentation

Token Breakdown

Tool

Original

Compressed

Savings

gemini

182 tokens

70 tokens

61.6%

ping

49 tokens

37 tokens

24.5%

help

33 tokens

32 tokens

3.0%

listSessions

40 tokens

33 tokens

17.5%

Total

306 tokens

172 tokens

43.8%

Trade-offs

Pros โœ…:

  • Significant token savings (43.8%)

  • Lower costs ($66/month for 3K conversations with 50 tools)

  • Full functionality preserved

  • Claude understands compressed schemas

Cons โš ๏ธ:

  • ~10% of conversations may need an extra help call

  • Schema less readable for developers

  • Need to maintain documentation in two places (schema + help tool)

๐Ÿ“ˆ When to Use Compressed Version?

  • High-frequency usage (>100 conversations/day)

  • Many tools (>20 tools in your MCP setup)

  • Cost-sensitive projects

  • Complex tool schemas with verbose descriptions

Use Original Version Instead

  • Low-frequency usage (<100 conversations/day)

  • Few tools (<10 tools)

  • Need maximum schema readability

  • Occasional use

๐Ÿงช Experimental Status

This is an experimental project to validate the Progressive Disclosure approach for MCP tool schemas.

Testing Results (from lab-02-testbed):

  • โœ… All tools function normally

  • โœ… help tool provides complete documentation

  • โœ… Claude understands compressed schemas

  • โœ… 43.8% token savings confirmed

  • โš ๏ธ ~10% scenarios require help call (adds 1 tool invocation)

Feedback Welcome: Please open issues if you encounter any problems or have suggestions.

๐Ÿ“š Documentation

  • MODELS.md: Gemini model compatibility and selection guide

  • CODEX-TO-GEMINI-ADAPTATION.md: How this was adapted from codex-mcp-server

  • API Reference: Use the help tool within Claude for detailed documentation

๐Ÿ› ๏ธ Development

# Install dependencies npm install # Development mode npm run dev # Build npm run build # Test npm test # Lint npm run lint

๐Ÿ“ Version Compatibility

This MCP server is compatible with:

  • Gemini CLI: v0.17.0+ (with Gemini 3 support)

  • Claude Code: Latest version

  • Claude Desktop: Latest version

  • MCP SDK: @modelcontextprotocol/sdk ^1.17.3

๐Ÿค Contributing

This is an experimental project. Contributions, issues, and feature requests are welcome!

๐Ÿ“„ License

ISC

๐Ÿ’ฌ Questions?

  • Use the help tool: mcp__gemini-daily-compressed__help

  • Open an issue: GitHub Issues

  • Original project: gemini-daily-mcp


โšก Compressed. Efficient. Same Power.

A
security โ€“ no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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