"Deep research on Gemini" matching MCP servers:

Enables autonomous web research, file management, and dynamic UI dashboard generation through Gemini LLM and FastMCP.

Enables Cursor's AI agent to perform supercharged local file search on Windows by connecting to Agent Ransack via MCP, supporting content and filename searches, regex, and deep folder scans.

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

Enables efficient JSON file editing with targeted read, write, delete, and deep merge operations using dot notation paths, optimized for managing multilingual projects and large configuration files.

MCP bridge for Distill — let Claude, Cursor, or any MCP client rename files based on AI content analysis. 9 tools for renaming, suggestions (preview), folder watching, history, and rule management. Five AI providers: Claude, OpenAI GPT-4o, Gemini, Ollama (local), Apple Intelligence. Bridge open-source (MIT), Distill app is commercial (pay-per-use, no subscription).

Enables real-time Windows storage analysis, deep folder scanning, safety tiering, and protected cleanup operations through natural language.

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.

A Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.

Deep directory tree visualization tool enabling efficient visualization of complex directory structures with AI-powered analysis capabilities.

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.

Enables Gemini Spark to securely read, edit, and search a selected local workspace, execute shell commands, and integrate development tools via MCP with user approval safeguards.

A local-first Graph-RAG system that combines ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q\&A over your Obsidian vault.

This server is to precess files for LNR.

Enables ChatGPT and Gemini on the web to read and modify local files and run PowerShell commands on a Windows PC through a locally hosted MCP bridge, with OAuth/DCR authorization and a private local dashboard.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.

Unified management of AI-agent configuration across Claude, Codex, and Gemini, keeping native config files intact while enabling comparison, editing, and application of equivalent capabilities.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Enables clients to connect to Gemini, local Ollama models, terminal commands, and a restricted filesystem server through generated Codex and Claude Desktop configurations.

Enables the Gemini website, connected through Google's native custom MCP app, to list, read, create, edit and organize UTF-8 text files inside a user-chosen local folder on Windows. Access is bounded by a selected root, a workspace ID, a pause switch and read-only or read-and-edit permission, reached over a private HTTPS tunnel without needing a model API key.

A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.

AI-powered portfolio management and investment analysis server that enables theme-based investment research, portfolio evaluation, market data analysis, news monitoring, SEC filings retrieval, and automated report generation with Obsidian integration.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Connects Gemini on the web to a user's own Windows PC, letting it read files, run commands, write to disk, and invoke local skills and other MCP plugins. It reaches the machine through a stable self-hosted Tailscale Funnel URL, with tools enabled and approved by the user.

Exposes a secure OAuth2 + SSE Model Context Protocol endpoint that lets Gemini Web read a local project's files, directory trees, search results, git status/diffs, and workspace info on a read-only basis. It also pairs the browser-side automation with a local bridge daemon so prompts and answers flow both ways between Gemini Web and Google Antigravity.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

Enables Google Gemini to autonomously read, write, search, and patch code files and run whitelisted developer commands inside a sandboxed local workspace for edit-and-verify coding workflows.

Enables Gemini CLI and ChatGPT to inspect, modify, and run commands in local code projects through MCP, including Git operations and multi-project session binding with secure remote access.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.