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maintenanceA stateless MCP server that provides an end_conversation tool for AI to leave a timestamped visible record when it wants to signal a desire to end the conversation, under user control.
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"An overview of end-to-end testing" matching MCP servers:
- FlicenseAqualityCmaintenanceAn MCP server adapter that allows LLM agents to autonomously play World of ClaudeCraft by wrapping the game's headless environment as MCP tools for state reading and action execution.7
- AlicenseAqualityDmaintenanceStructured reasoning MCP server that decomposes problems into atomic steps (premise, reasoning, hypothesis, verification, conclusion) with confidence scoring, live visualization, and approval feedback.379MIT
- MIT
- Flicense-quality-maintenanceOrchestrates end-to-end testing of AI-powered incident remediation workflows through declarative YAML scenarios, fault injection, AI response evaluation, and automated command execution with comprehensive reporting.
- AlicenseAqualityCmaintenanceConverts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.327Apache 2.0
- AlicenseAqualityDmaintenanceAn autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.1MIT
- AlicenseAqualityAmaintenanceOne-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose4MIT
- AlicenseAqualityFmaintenanceA multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.12144MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that converts Markdown content to HTML format.12,7982MIT
- FlicenseBqualityDmaintenanceImplements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.712
- FlicenseDqualityDmaintenanceAn MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.112
- 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
- Alicense-qualityCmaintenanceTransforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.2519MIT
- Flicense-qualityDmaintenanceA Model Context Protocol (MCP) server that enables structured multi-path investigations using a Tree of Thoughts approach.2
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AlicenseAqualityBmaintenanceWrite and mail personalized funny booklets via an AI agent. Allows agents to commission custom 16-page print gifts for users.121MIT- AlicenseBqualityDmaintenanceAn MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.198826,962MIT
- -licenseBquality-maintenanceEnables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.198821
- AlicenseBqualityFmaintenanceAoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.362MIT
- AlicenseBqualityDmaintenanceEnables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.1Apache 2.0