A
license-
qualityC
maintenanceMCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.
MIT
72,476 servers. Updated
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"How to write technical documentation for a code base" matching MCP servers:
- AlicenseBqualityCmaintenanceEnables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.4MIT
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- Alicense-qualityCmaintenanceAn MCP server that turns a one-sentence idea into working, tested code using a pipeline of six AI agents, with optional deployment.MIT
- AlicenseAqualityAmaintenanceComposes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.1241MIT
- AlicenseAqualityCmaintenanceEnables Codex to delegate long-running work to Claude Code via blocking MCP calls, with tools for model discovery, run, and resume without polling.3MIT
- AlicenseAqualityBmaintenanceAn MCP server that gives orchestrator agents fine-grained control over interactive Claude Code sessions running inside tmux, enabling mid-session steering, interruption, and token-efficient result extraction.15MIT
- AlicenseAqualityBmaintenanceMCP server that delegates Claude Code subagents to alternative backends such as local models, DeepSeek, or AWS Bedrock, while keeping your Claude Code orchestrator session intact.55MIT
- AlicenseAqualityDmaintenanceProvides access to a library of 18 specialized skills, project templates, and prompt patterns for Claude Code. It enables automated workflows for feature development, security audits, and system maintenance through multi-agent collaboration.611MIT
- AlicenseAqualityCmaintenanceA lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.91113MIT
- AlicenseAqualityCmaintenanceMCP server to temporarily add a global Codex directive requiring Claude Code usage until a configured expiry date, with guardrails and cleanup.3MIT
- AlicenseAqualityDmaintenanceEnables orchestration of multiple Claude Code sessions for complex multi-task coding projects with HEAD/SUB coordination and dependency-based task execution.17MIT
- FlicenseAqualityBmaintenanceDelegates expensive or long-running AI tasks to Kubernetes-hosted Claude agents running on OpenShift. Enables creating, managing, and monitoring remote agentic sessions for complex work like codebase analysis and security audits.41
- Alicense-qualityDmaintenanceConverts any REST API into MCP-compatible tools instantly by providing an OpenAPI/Swagger spec, enabling seamless integration with AI agents.MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityDmaintenanceA transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.1MIT
- Alicense-qualityCmaintenanceBridges Claude Code terminal sessions with Claude Chat by exposing session logs as tools, enabling seamless context transfer and two-way communication via a cooperative inbox and optional Google Drive sync.701MIT
- Alicense-qualityAmaintenanceEnables Codex to orchestrate multi-agent coding by routing tasks to local Claude Code workers via CCSwitch, managing cost and model selection for planning, execution, and review.7MIT
- Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.1MIT
- Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server that provides persistent memory and context management for AI systems through a structured 5-phase optimization workflow.1MIT