gemini-cli-mcp-slim
Thin MCP server wrapping the Gemini CLI for AI assistants, supporting workspace-aware multi-repository analysis and forward-compatible flags.
README
gemini-cli-mcp-slim
A thin, auditable MCP server wrapping the Gemini CLI.
Why
Existing Gemini MCP servers tend to either hide the underlying CLI behind opaque parameters or hard-code the supported flags so new gemini CLI options require code changes. This project takes a different approach:
- Single file, ~290 lines — auditable in one sitting
- One third-party dependency (
mcp) — minimal supply-chain surface - Forward-compatible — any new or uncommon gemini CLI flag is reachable via
extra_argswithout touching this server - Configurable binary path —
$GEMINI_CMDlets you swap or wrap the gemini binary - Workspace-aware — first-class
include_directoriesso you can analyze multiple repositories from one invocation - Transparent — every invocation logs the exact argv to stderr
Installation
Requires the gemini CLI to be installed and on $PATH (or pointed to via $GEMINI_CMD).
# Run directly without installing
uvx gemini-cli-mcp-slim
# Install from PyPI
pip install gemini-cli-mcp-slim
# Run from GitHub HEAD
uvx --from git+https://github.com/tksfjt1024/gemini-cli-mcp-slim gemini-cli-mcp-slim
Usage as an MCP server
Claude Code
claude mcp add gemini-cli-mcp-slim uvx gemini-cli-mcp-slim
Or manually in ~/.claude.json:
{
"mcpServers": {
"gemini-cli-mcp-slim": {
"type": "stdio",
"command": "uvx",
"args": ["gemini-cli-mcp-slim"]
}
}
}
Other MCP clients
Any MCP-compatible client can launch the server via stdio:
uvx gemini-cli-mcp-slim
Tools
consult_gemini
Run a single Gemini CLI invocation with full forward-compatibility.
| Parameter | Type | Description |
|---|---|---|
query (required) |
string | Prompt sent verbatim to the gemini CLI |
directory (required) |
string | Working directory (gemini cwd, defines the default workspace root) |
model |
string | Model alias (flash, pro) or full model id |
approval_mode |
enum | default / auto_edit / yolo / plan |
include_directories |
string[] | Extra workspace directories (mapped to gemini --include-directories) |
yolo |
bool | Pass --yolo (auto-approve all) |
sandbox |
bool | Pass --sandbox |
extra_args |
string[] | Raw CLI flags appended verbatim. Use to access new/uncommon gemini flags |
env |
object | Extra environment variables for the gemini subprocess |
timeout_seconds |
int | Subprocess timeout in seconds (default 600) |
consult_gemini_with_files
Same parameters as consult_gemini plus a files: string[] parameter. File paths are appended to the prompt as @path tokens (gemini's file reference syntax). Absolute paths inside directory are converted to relative @-paths.
web_search
Convenience wrapper that prepends a "use your built-in web search" instruction to the query.
Configuration
| Environment variable | Default | Purpose |
|---|---|---|
GEMINI_CMD |
gemini |
Path to the gemini CLI binary |
GEMINI_CLI_MCP_SLIM_TIMEOUT |
600 |
Default subprocess timeout in seconds |
GEMINI_CLI_MCP_SLIM_LOG_LEVEL |
INFO |
Logging level for stderr diagnostics |
Cross-repository analysis example
The killer feature: analyze multiple repositories from a single MCP invocation.
{
"name": "consult_gemini",
"arguments": {
"query": "Compare the API surface between these services",
"directory": "/path/to/service-a",
"include_directories": [
"/path/to/service-b",
"/path/to/service-c"
],
"model": "flash",
"approval_mode": "plan"
}
}
This launches gemini with --include-directories=/path/to/service-b,/path/to/service-c, giving the model read access to all three workspaces in one session.
Forward-compatibility example
If a future gemini CLI release adds a new flag (say --super-mode), you can use it immediately without updating this server:
{
"name": "consult_gemini",
"arguments": {
"query": "...",
"directory": "...",
"extra_args": ["--super-mode", "--some-other-new-flag"]
}
}
Comparison with alternatives
| Project | Lines | Deps | include_directories |
extra_args passthrough |
|---|---|---|---|---|
| gemini-cli-mcp-slim (this) | ~290 | 1 (mcp) |
yes | yes |
| eLyiN/gemini-bridge | ~400 | 1 (mcp) |
no | no |
| jamubc/gemini-mcp-tool | (TS) | many | no | partial |
Development
# Install dev dependencies
pip install -e ".[test,dev]"
# Lint
ruff check .
# Test
pytest
License
MIT © tksfjt1024
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.