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An MCP bridge that lets Claude Code consult ChatGPT mid-task.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-chatgpt-bridge" yet — see the docs or source repo.
Before implementing this refactor, package the current design and key constraints, send them to ChatGPT for a second opinion, then summarize its suggestions and risks for me.
A second-opinion summary based on the current context, including suggestions, concerns, and possible improvements.
I’m stuck on this error. Send the error details, attempted fixes, and relevant code context to ChatGPT, ask for additional debugging ideas, and turn them into a checklist.
A troubleshooting checklist that adds new directions to the current debugging process.
Before coding, send the task goal, constraints, and implementation plan to ChatGPT, and ask for a second opinion on maintainability and possible omissions.
A pre-implementation risk review with improvement suggestions to reduce oversights.
While working in Claude Code, a developer can use this MCP server to send explicitly packaged context to ChatGPT and get extra suggestions or a different perspective. It is useful for quick reviews before important implementation steps.
When debugging reaches a dead end, the user can have Claude Code consult ChatGPT with the current error details and findings. This can add new troubleshooting ideas while the caller still controls what context is passed.
Before implementation or refactoring, the user can ask Claude Code to send the design approach to ChatGPT for a second opinion. This helps surface omissions, risks, or alternative approaches earlier.
It is an MCP server that lets Claude Code consult ChatGPT for a second opinion during a task. The caller explicitly passes the context.
The difference is that it adds a bridge for getting a second opinion from ChatGPT instead of relying on a single model. The description also emphasizes that the context sent to ChatGPT is explicitly provided by the caller.
The provided material does not include installation steps or prerequisite details. For setup, runtime requirements, and whether any keys are needed, see the source repository.
Connect Claude Desktop and Claude Code to automate collaborative build workflows.
Orchestrate a local Claude Code and Codex CLI development workflow.
Delegate coding tasks to Codex via MCP with security and result checks.
Share project memory files over MCP across Claude Code and Claude.ai.
Delegate web research and image generation to ChatGPT through browser automation.
Switch between MCP configuration profiles directly inside Claude Desktop.