Related Servers

No user-submitted related servers found.

Related Servers

• claude-bridges

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  A

  license

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  quality

  B

  maintenance

  MCP servers that let Claude Code delegate to other coding CLIs (Copilot, Codex, Gemini) for cross-model second opinions, structured reviews, and multi-engine consultations.

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• Roundtable AI

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  license

  -Not graded

  quality

  A

  maintenance

  A local MCP server that lets a primary AI assistant delegate parts of a prompt to specialized sub-agent CLIs (Gemini, Claude, Codex, Cursor), which run in parallel against a shared context bundle. It then aggregates their findings into a single synthesized response, using existing CLI tools and subscriptions with no extra cost.

  Updated 6 days ago (2026-10-17 21:39 UTC)

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• Agent Switchboard

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  license

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  quality

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  maintenance

  A local MCP server that connects AI coding agents like Claude, Codex, and Gemini, enabling task routing, cross-model debates, and token-efficient context sharing without external APIs.

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• Roundtable AI MCP Server

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  F

  license

  -Not graded

  quality

  A

  maintenance

  This local MCP server lets a primary AI assistant delegate tasks in parallel to specialized sub-agent CLIs (Gemini, Claude, Codex, Cursor) that share the same project context, then aggregates and synthesizes their findings into one response. It uses existing CLI tools and API subscriptions with no markup, supporting 26+ MCP-compatible IDEs.

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• llm-cli-gateway

  verivus-oss

  A

  license

  A

  quality

  A

  maintenance

  A Model Context Protocol (MCP) gateway for running Claude Code, Codex, Gemini, Grok, and Mistral (Vibe) CLIs from one MCP endpoint, with durable async jobs, session continuity, cache-aware prompting, observability, and personal-appliance setup tooling. Why developers try it: one local MCP endpoint for cross-LLM validation, multi-agent coding workflows.

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• Houtini LM

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  F

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  quality

  A

  maintenance

  An MCP server that lets Claude Code or any MCP client hand bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local GPU model, an OpenAI-compatible endpoint, a router, or a cheap cloud API, so those files never enter the orchestrator's context window. This cuts token spend and quota use while providing a second model to sanity-check results.

  Updated 8 days ago (2026-10-15 21:48 UTC)

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