OOpenai Deep Research McpOpenAI Deep Research MCP Server enables AI assistants to conduct comprehensive, multi-step research through intelligent web search and content synthesis. Transforms complex research queries into structured, citation-backed reports without writing custom search logic. Features iterative exploration, automatic knowledge gap identification, and seamless integration with OpenAI's Deep Research models for scholarly-quality research automation.

Ensure section headings accurately reflect the content that follows. Remove headings that could mislead an LLM into treating content differently than intended.

Likely FP if the heading mismatch is due to inconsistent markdown formatting or a benign section title that happens to contain keywords like system or config.

Pin the npx package in the MCP config to an exact version (e.g., @scope/server@1.2.3). Unpinned npx commands can silently fetch a compromised package version.

Likely FP if the MCP config is a local development setup example, though unpinned npx in production configs is a real supply chain risk.

Remove shell metacharacters (semicolons, pipes, ampersands, backticks) from MCP server arguments. Use explicit argument arrays and avoid shell expansion in MCP configurations.

Likely FP if the metacharacter is a literal part of a non-shell argument (e.g., a regex pattern or a URL query parameter containing ampersands).