MCP Gemini API Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_filesC | Analyze multiple files with a given prompt using Gemini CLI |
| analyze_directoryC | Analyze a directory with a given prompt using Gemini CLI |
| verify_featureC | Verify if a feature is implemented in the codebase |
| raw_promptC | Execute a raw prompt without file context using Gemini CLI |
| get_configC | Get configuration value |
| set_configC | Set configuration value |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
The tools have some clear distinctions but also notable overlap. analyze_directory and analyze_files both perform analysis with a prompt, differing only in input scope (directory vs. multiple files), which could cause confusion. raw_prompt is similar but lacks file context. The config tools and verify_feature are distinct, but the analysis tools blur together.
Tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., analyze_directory, get_config). All tools adhere to this convention, making them readable and predictable. Minor deviation in raw_prompt (which uses 'raw' as an adjective) is acceptable.
With 6 tools, the count is well-scoped for a Gemini API server. It covers core analysis operations, configuration management, and a verification feature without being overwhelming. Each tool appears to serve a specific purpose, fitting a typical utility server scope.
The toolset covers basic analysis and configuration but has gaps. It lacks operations for managing analysis results (e.g., list or delete analyses) and doesn't support advanced Gemini features like model selection or streaming. The verify_feature tool is useful but doesn't fully round out the domain, leaving some workflows incomplete.