Antigravity MCP Bridge
Related Servers
Alternatives to Antigravity MCP Bridge
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA secure, local communication runtime bridge that interfaces a cloud-based Large Language Model (Claude Desktop) with a local machine execution environment using the Model Context Protocol (MCP).Eclipse Public 2.0
- AlicenseNot gradedqualityAmaintenanceConnects AI clients to over 2,000 models and APIs through the Model Context Protocol, enabling discovery, inspection, and execution of free data APIs and paid model calls via a local bridge with OAuth and rollback.556,724 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables cloud AI agents to securely connect to a local Windows machine and execute tools such as system info, file operations, browser automation, and coding tasks through the Model Context Protocol.MIT
- AlicenseNot gradedqualityAmaintenanceEnables web-based AI clients like Claude, ChatGPT, and Grok to securely operate a local machine through OAuth-gated MCP tools covering files, shell, Git, databases, browser automation, and background tasks.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.MIT
- AlicenseCqualityCmaintenanceA local-first Model Context Protocol server that enables AI-assisted development through scoped file access, opt-in shell and process execution, Git automation, development pipelines, and optional Windows desktop and Android/ADB tools. It supports streamable HTTP and stdio transports with secure local-only defaults.105MIT
TDQS
Scored across 23 tools
Multiple tools have overlapping purposes, such as run_system_command vs run_batch_commands, write_file vs batch_write_files, and run_agent_task vs send_spark_to_antigravity_task vs inject_message. The boundaries between session notes, bridge history, and agent status reports are also unclear, creating significant potential for misselection.
Most tool names follow a verb_noun pattern, but the verbs are inconsistent across similar actions (e.g., run_agent_task, send_spark_to_antigravity_task, inject_message) and some names like git_quick_status do not follow the pattern. The naming is readable but not systematically consistent.
With 23 tools, the set is at the high end of the 'heavy but not extreme' range. The broad scope of filesystem, shell, agent, notes, and external app operations partially justifies the count, but it feels larger than necessary and could be consolidated.
The toolset covers core filesystem operations, command execution, batch operations, agent task management, session notes, and external app integration. Minor gaps exist such as no explicit delete file/note tool and no direct list-agent-tasks function, but the primary workflows are well represented.