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@@ -620,7 +620,7 @@ Full coding agents that enable LLMs to read, edit, and execute code and solve ge
- [sshahzaiib/agy-bridge](https://github.com/sshahzaiib/agy-bridge) [![sshahzaiib/agy-bridge MCP server](https://glama.ai/mcp/servers/sshahzaiib/agy-bridge/badges/score.svg)](https://glama.ai/mcp/servers/sshahzaiib/agy-bridge) 📇 🏠 🍎 🪟 🐧 - Delegate heavy tasks from Claude Code (or any MCP client) to the Antigravity CLI (Gemini): file analysis, repo archaeology, web lookups, and adversarial second-opinion code reviews. Quota-aware model failover with cooldowns, per-tool timeouts, and multi-turn session continuity. - [sshahzaiib/agy-bridge](https://github.com/sshahzaiib/agy-bridge) [![sshahzaiib/agy-bridge MCP server](https://glama.ai/mcp/servers/sshahzaiib/agy-bridge/badges/score.svg)](https://glama.ai/mcp/servers/sshahzaiib/agy-bridge) 📇 🏠 🍎 🪟 🐧 - Delegate heavy tasks from Claude Code (or any MCP client) to the Antigravity CLI (Gemini): file analysis, repo archaeology, web lookups, and adversarial second-opinion code reviews. Quota-aware model failover with cooldowns, per-tool timeouts, and multi-turn session continuity.
- [alpadalar/netops-mcp](https://github.com/alpadalar/netops-mcp) 🐍 🏠 - Comprehensive DevOps and networking MCP server providing standardized access to essential infrastructure tools. Features network monitoring, system diagnostics, automation workflows, and infrastructure management with AI-powered operational insights. - [alpadalar/netops-mcp](https://github.com/alpadalar/netops-mcp) 🐍 🏠 - Comprehensive DevOps and networking MCP server providing standardized access to essential infrastructure tools. Features network monitoring, system diagnostics, automation workflows, and infrastructure management with AI-powered operational insights.
- [aresyn/codex-control-plane-mcp](https://github.com/aresyn/codex-control-plane-mcp) [![aresyn/codex-control-plane-mcp MCP server](https://glama.ai/mcp/servers/aresyn/codex-control-plane-mcp/badges/score.svg)](https://glama.ai/mcp/servers/aresyn/codex-control-plane-mcp) 🐍 🏠 🪟 - Durable control plane for long-running Codex Desktop tasks. Submit tasks asynchronously, poll operation/workflow state, approve Plan Mode, recover retries, and use hook-backed SQLite history for search and diagnostics. - [aresyn/codex-control-plane-mcp](https://github.com/aresyn/codex-control-plane-mcp) [![aresyn/codex-control-plane-mcp MCP server](https://glama.ai/mcp/servers/aresyn/codex-control-plane-mcp/badges/score.svg)](https://glama.ai/mcp/servers/aresyn/codex-control-plane-mcp) 🐍 🏠 🪟 - Durable control plane for long-running Codex Desktop tasks. Submit tasks asynchronously, poll operation/workflow state, approve Plan Mode, recover retries, and use hook-backed SQLite history for search and diagnostics.
- [polymatx/dibs](https://github.com/polymatx/dibs) 🏎️ 🏠 🍎 🪟 🐧 - Coordination layer for parallel coding agents: TTL file claims stored in the git common dir (visible across every worktree instantly), enforcement hooks that block colliding edits in Claude Code and at commit time, agent presence, handoff notes, and git-committed lessons searchable with BM25. Single static binary — no server, no database. - [polymatx/dibs](https://github.com/polymatx/dibs) [![polymatx/dibs MCP server](https://glama.ai/mcp/servers/polymatx/dibs/badges/score.svg)](https://glama.ai/mcp/servers/polymatx/dibs) 🏎️ 🏠 🍎 🪟 🐧 - Coordination layer for parallel coding agents: TTL file claims stored in the git common dir (visible across every worktree instantly), enforcement hooks that block colliding edits in Claude Code and at commit time, agent presence, handoff notes, and git-committed lessons searchable with BM25. Single static binary — no server, no database.
- [askbudi/roundtable](https://github.com/askbudi/roundtable) 🐍 🏠 - Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery and standardized interface. Essential infrastructure for autonomous agent development and multi-AI collaboration workflows. - [askbudi/roundtable](https://github.com/askbudi/roundtable) 🐍 🏠 - Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery and standardized interface. Essential infrastructure for autonomous agent development and multi-AI collaboration workflows.
- [automateyournetwork/pyATS_MCP](https://github.com/automateyournetwork/pyATS_MCP) - Cisco pyATS server enabling structured, model-driven interaction with network devices. - [automateyournetwork/pyATS_MCP](https://github.com/automateyournetwork/pyATS_MCP) - Cisco pyATS server enabling structured, model-driven interaction with network devices.
- [avansaber/tailtest-cline](https://github.com/avansaber/tailtest-cline) [![avansaber/tailtest-cline MCP server](https://glama.ai/mcp/servers/avansaber/tailtest-cline/badges/score.svg)](https://glama.ai/mcp/servers/avansaber/tailtest-cline) 🐍 🏠 🍎 🪟 🐧 - Adversarial test generation for AI coding sessions. Detects language and framework; writes tests; runs them; classifies failures via R12 (real_bug / environment / test_bug). Ships 8 adversarial scenario categories. Works in Cline directly and in 8+ editors via Cline host coverage. 162 plugin tests. MIT. - [avansaber/tailtest-cline](https://github.com/avansaber/tailtest-cline) [![avansaber/tailtest-cline MCP server](https://glama.ai/mcp/servers/avansaber/tailtest-cline/badges/score.svg)](https://glama.ai/mcp/servers/avansaber/tailtest-cline) 🐍 🏠 🍎 🪟 🐧 - Adversarial test generation for AI coding sessions. Detects language and framework; writes tests; runs them; classifies failures via R12 (real_bug / environment / test_bug). Ships 8 adversarial scenario categories. Works in Cline directly and in 8+ editors via Cline host coverage. 162 plugin tests. MIT.