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"Debugging software using GDB (GNU Debugger)" matching MCP servers:

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    Enables AI assistants to monitor and analyze blockchain activity through Tenderly's infrastructure and direct EVM RPC calls. Provides comprehensive alert management, transaction simulation, and multi-chain querying capabilities for blockchain debugging and monitoring.
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    A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.
    3
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    Apache 2.0
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    A git-backed MCP server that centrally manages AI agent skills, tools, and knowledge with role-based access, change requests, and a remote OAuth 2.1 endpoint.
    58
    Apache 2.0
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    Enables non-coders to build software by describing ideas in natural language, orchestrating AI agents and CLI workers via chat without needing a terminal.
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    Apache 2.0
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    The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
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    MIT
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    A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.
    16
    Apache 2.0
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    Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.
    60
    MIT
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    An autonomous multi-agent orchestration layer that generates a bespoke software engineering organization for a given objective, runs parallel OpenCode workers in isolated git worktrees, and integrates reviewed code through a replan loop.
    MIT
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    Agentic cloud platform with 45+ MCP tools. Deploy any containerized stack, debug live pods (shell, file editing, DB queries), manage custom domains & TLS, push to built-in container registry, scale pods, and manage GPU workloads. The infrastructure layer where AI agents ship software to production.
    8
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    A methodology and MCP server for agent-driven software development where humans write specs and agents implement code, enforced by six mechanical gates to ensure spec validity, contracts, tests, and review.
    9
    MIT
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    An MCP server that gives AI agents faithful control of real, logged-in Chrome profiles via a secure local bridge and extension, with exact multi-profile routing and no debug profiles or remote debugging ports.
    MIT