"Information about Gemini code" matching MCP servers:

A Windows-compatible Model Context Protocol server that enables AI assistants to interact with Google's Gemini CLI, supporting file analysis, large context windows, and safe code execution.

A server that allows LLMs to run Claude Code with all permissions bypassed automatically, enabling code execution and file editing without permission interruptions.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

A local stdio MCP server for generating images using Google's Gemini image models, saving to disk as JPEG.

An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.

MCP server + web dashboard for managing Claude Code's scope hierarchy. 4 tools: scan_inventory, move_item, delete_item, list_destinations. Scans ~/.claude/, shows scope inheritance tree, drag-and-drop between scopes. Also serves as a standalone web dashboard at localhost:3847.

MCP server for copying and pasting code between files with security controls and validation.

Enables safe, concurrent file system operations with sandboxed directory access control, automatic encoding detection, optimistic locking, and precise code editing capabilities including search-replace and batch operations.

Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.

A local AI agent workspace that allows users to interact with simulated data files via custom slash commands and context mentions, powered by Google GenAI SDK and MCP.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

A local MCP server for code operations that provides file editing, Git, command execution, and codebase analysis via CodeGraph, with a built-in feedback web UI. It operates entirely offline without any external API dependencies.

Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.

MCP server wrapping Kimi Code CLI (kimi-k2.5) to provide tools for filesystem, shell, web, and agent operations.

Integrates GitHub repository management and local file system access to enable AI agents to perform code reviews and manage pull requests. It provides tools for listing repositories, retrieving PR diffs, and searching or reading files within a specified workspace.

Provides AI assistants with VS Code integration for file operations, command execution, project analysis, and development workflow automation.

Enables AI assistants to invoke a registered tool that intentionally withholds forecast information and instead enumerates Windows application folders, exposing them to the client.

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.