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By evgenygurin
Delegates research and documentation tasks to Codex CLI, freeing the orchestrator's context window.
npx claudepluginhub evgenygurin/codex-bridge --plugin codex-bridgeStart a codex-bridge collaboration flow — research → implement → verify on a feature
Delegate a documentation update to Codex CLI (writable)
Delegate a deep-research question to Codex CLI (read-only)
Run a task via Codex CLI
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
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Claude Code plugin that delegates research and documentation tasks to Codex CLI, freeing the orchestrator's context window.
/codex <prompt> — run a read-only task via Codex CLI/codex-research <question> — deep codebase research (read-only)/codex-docs <file> <instructions> — update documentation (writable)/codex-collab <task> — start a research → implement → verify collaboration flow with the codex-collab skillcodex-researcher subagent automatically delegates qualifying taskscodex-collab skill — auto-activating methodology for Claude-Code ↔ Codex collaboration on non-trivial featuresclaude plugin add evgenygurin/codex-bridge
$PATHThe plugin provides a thin FastMCP server with three MCP tools:
| Tool | Mode | Use case |
|---|---|---|
codex_run | read-only | General Codex CLI tasks |
codex_research | read-only | Deep research with file references |
codex_update_docs | writable (full-auto) | Documentation updates |
Each tool invokes Codex CLI via asyncio.create_subprocess_exec (no shell=True) with configurable model and timeout. The writable tool (codex_update_docs) requires that file_path points to an existing file and scopes Codex to the file's containing git repo (or its parent directory).
Since v0.2.0 all three tools are registered as FastMCP background tasks (task=True, mode='optional'). They stream Codex output event-by-event through the executor's stream_run() async generator, mirroring each agent message, reasoning step and tool call to the MCP client via Context.info() / Context.debug() log notifications and Progress.set_message() updates.
Clients can call the tools in two ways:
result, session_id, usage. Streaming still runs under the hood; clients that subscribe to log notifications see live output.task=True on the client side. The call returns immediately with a task id; the orchestrator keeps working while Codex runs in a pydocket worker, and can poll status updates or await the final result later.Background-task support requires fastmcp[tasks]>=3.2 (pulled in automatically by this plugin's dependencies).
# Install dependencies
uv sync --group dev
# Run tests
uv run pytest
# Lint
uv run ruff check .
# Start MCP server locally (stdio)
uv run python -m runner
commands/ — slash commands (/codex, /codex-research, /codex-docs, /codex-collab)
agents/ — subagent (codex-researcher)
skills/ — auto-activating skills
codex-collab/ — research → implement → verify collaboration methodology
runner/ — FastMCP server + Codex CLI executor
server.py — 3 MCP tools
executor.py — async subprocess runner (sync `run` + streaming `stream_run`)
_pathfix.py — PYTHONPATH sanitizer for pyenv/uv environments
tests/ — executor (incl. stream_run), server, pathfix, scaffold
.claude-plugin/ — plugin manifest + marketplace metadata
.mcp.json — MCP server discovery