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Submit bounded research jobs to ChatGPT Pro with verification and safety guards.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "chatgpt-pro-mcp" yet — see the docs or source repo.
Use chatgpt-pro-mcp to submit a bounded research job: compare five major AI coding assistants on code completion, pricing, privacy policies, and team collaboration. Use only verifiable sources from the last 12 months, and return a table, key findings, and source links.
An asynchronous research result with a comparison table, summary findings, verifiable sources, and citation notes.
Use chatgpt-pro-mcp to start a research job verifying whether an open-source vector database supports multi-tenancy, backup and restore, RBAC, and managed deployment. Map each conclusion to official docs or other credible sources.
A verification report organized by capability, including supporting sources for each claim and notes on any uncertainties.
Submit a safety-bounded research job through chatgpt-pro-mcp: investigate common data security and compliance risks when enterprises adopt external LLMs, and provide risk categories, mitigation advice, and public sources without unverifiable or high-risk operational content.
A safety-guarded research summary with a risk list, mitigation steps, and source links.
Inspect and edit local projects securely with files, Git, and commands.
Safely send prompts to ChatGPT Web and assist with repository tasks.
An MCP bridge that lets Claude Code consult ChatGPT mid-task.
Route LLM completion requests to OpenAI-compatible providers through MCP tools.
Delegate coding tasks to Codex via MCP with security and result checks.
Access multiple LLM providers through one encrypted OpenAI-compatible gateway.