gpt-researcher

Integrating MCP data sources with GPT Researcher involves wiring external data feeds into the agent's architecture. This skill provides practical setup guidance and identifies the specific integration points required to connect MCP protocols effectively.

The GPT Researcher architecture consists of an autonomous agent framework with specific integration points for data sources and prompts. This skill provides architecture references to help developers understand how components interact and where to add new features.

Adding features to GPT Researcher requires following a structured development pattern for writing prompts and wiring agents. This skill outlines an extensible pattern to prototype and implement new capabilities within the existing framework.

GPT Researcher is suitable for onboarding autonomous agent development because it provides a clear architecture and integration points. Developers can explore its structure to understand how to build and extend research agents.

GPT Researcher supports custom prompts for agent wiring through its extensible feature development pattern. Developers can write and integrate specific prompts to guide the autonomous agent's research behavior and data processing.

Extending GPT Researcher with MCP integration requires understanding its architecture boundaries and available integration points. Developers must follow the provided setup guidance to ensure data sources are wired correctly without breaking the autonomous agent framework.