Codex MCP Server
Related Servers
Alternatives to Codex MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseCqualityFmaintenanceConnects AI assistants like Claude to the Codex CLI for code analysis, editing, and execution. Supports file references with @ syntax, sandboxed code execution with approval workflows, and structured code changes for automated refactoring and documentation.872 npm178MIT
- FlicenseAqualityCmaintenanceIndexes a workspace and exposes code-navigation tools to Codex, enabling symbol lookup, reference finding, dependency analysis, and security audit for local codebases.10-
- AlicenseAqualityBmaintenanceA project-local MCP bridge that allows Codex Desktop to plan tasks and OpenCode to execute them within the current project directory, with session reuse and native OpenCode background subagents.41MIT
- AlicenseNot gradedqualityAmaintenanceEnables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.MIT
- AlicenseNot gradedqualityAmaintenanceA local coding bridge that enables ChatGPT to read, edit, test, and manage Git operations on your local projects.303 npmMIT
- FlicenseBqualityBmaintenanceBridges local development environments with the Engineering Intelligence Platform (EIP), enabling AI coding agents to manage SSOT, generate implementation/test/security plans, and synchronize architectural knowledge.5-
TDQS
Scored across 4 tools
The tools have significant overlap in purpose, as all four are focused on code review with Codex. While there are distinctions between reviewing a file, project, or code changes, the boundaries are unclear—for example, 'review_code_changes' and 'review_file' could easily be confused for similar tasks, and the descriptions do not fully resolve this ambiguity.
The tool names follow a highly consistent verb_noun pattern throughout (e.g., continue_review, review_code_changes, review_file, review_project). All use snake_case and start with a verb related to reviewing, making them predictable and easy to parse.
With 4 tools, the count is reasonable for a code review server, though it feels slightly thin. Each tool appears to serve a distinct niche (e.g., file vs. project review), but the set might benefit from additional operations like summarization or feedback integration to enhance completeness.
The server covers core review scenarios (file, project, code changes, and session continuation), but there are notable gaps. For example, it lacks tools for managing review sessions (e.g., starting or ending reviews), handling non-code artifacts, or providing post-review actions like approval or rejection, which could limit agent workflows in broader contexts.