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codex-local-mcp

by ossmalaysia

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      license
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      B
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      Enables an AI assistant to delegate coding tasks to local Codex or Claude Code CLIs, monitor their progress, read results, continue sessions, and browse the files in user-approved project workspaces. It exposes these capabilities over Streamable HTTP through a Cloudflare tunnel or locally over stdio, so a remote or cloud client can drive agents running on the user's own machine.
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    • A
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      Enables ChatGPT conversations to directly inspect local workspaces and delegate coding tasks to a local Codex agent, with controlled concurrency, reusable sessions, and task/usage tracking.
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    • A
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      Enables MCP-compatible coding agents to execute the local Codex CLI as a coding agent, including code reviews, session resume/fork, and CLI diagnostics.
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      license
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      Connects 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.
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    • F
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      Enables external AI (ChatGPT, Claude) to securely access a local workspace via Cloudflare Tunnel, providing file operations, shell commands, Git operations, and more with bearer token authentication and sandbox isolation.
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    • A
      license
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      quality
      B
      maintenance
      Enables AI chatbots to act like coding agents on your own computer by executing code, editing files, running terminal commands, and performing Git operations through a secure cloud bridge. Supports token-based pairing, path sandboxing, and configurable approval for destructive actions.
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    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: running a coding task, generating images, polling async job results, and reading workspace artifacts. There is no overlap or ambiguity between them.

    Naming Consistency3/5

    All tools share the codex_ prefix, but the pattern is inconsistent: codex_run and codex_generate_image are verb-led, codex_read_artifact is verb_noun, while codex_job_result is noun_noun. The naming is readable but not uniform.

    Tool Count4/5

    Four tools is a compact but reasonable set for a local Codex CLI integration. Each tool serves a necessary function in the workflow, though the surface is slightly minimal.

    Completeness4/5

    The core lifecycle of submitting a task, polling for results, and reading generated artifacts is covered. Minor gaps exist, such as no way to cancel a running job or list available workspace files, but these are not critical.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues