Automate Research & Analysis Workflows Across Any Domain with `mcp-agent`

The author has developed a universal research agent using the mcp-agent framework to automate personal and work-related research tasks. This framework allows for the coordination of tools, APIs, memory, and LLM calls into a streamlined workflow. The agent is modular, agentic, and fully customizable for any domain. It provides an end-to-end research pipeline, including pluggable servers for domain-specific APIs, automatic elicitation of user needs, an evaluator agent for quality assurance, and web search fallbacks. The system also generates domain-specific analysis and smart markdown reports. To use it, one clones the repository, sets API keys, configures servers in a YAML file, customizes agent instructions for the specific domain and goals, and then runs the agent with a query. Key features include auto-elicitation, an evaluator agent for quality control, built-in web search fallback, composability with various tools and data sources, and clean markdown report generation. Users can build their own agents by changing agent instructions, MCP servers, and API integrations. The code is available on GitHub for those interested in automating research, API orchestration, or report writing.