codex-mcp-bridge
This server wraps the OpenAI Codex CLI as an MCP bridge, exposing AI-powered tools for code execution, web search, text analysis, code review, structured output, session management, and health monitoring, with subprocess isolation and concurrency control.
AI Code Execution (
codex): Run prompts with file context, resume sessions, control sandbox levels (read-only,workspace-write,full-auto), and adjust reasoning effort. Supports multi-turn conversations and automatic model fallback on quota exhaustion.Web Search (
search): Query the web and receive synthesized answers with source URLs.Lightweight Text Analysis (
query): Analyze or critique provided text without repo context.Native Code Review (
review): Diff-aware review of uncommitted changes, a base branch, or a specific commit in a git repository.Structured Output (
structured): Generate JSON validated against a caller-supplied JSON Schema.Session Management (
listSessions): List active sessions with metadata (turn count, model, timestamps) for orchestration.Health Checks (
ping,mcpStatus): Verify CLI installation and authentication, report concurrency diagnostics (activeCount,queueDepth), and state of other MCP servers.Isolation & Concurrency: Environment allowlisting, no shell escape, secret redaction, FIFO-queued concurrency (default max 3 parallel spawns), and partial response capture on timeout.
Integrates with OpenAI's Codex CLI to provide code execution, web search, and structured output capabilities.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@codex-mcp-bridge review the current branch for security issues"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
codex-mcp-bridge
MCP server that wraps Codex CLI as a subprocess, exposing code execution, web search, and structured output as Model Context Protocol tools.
Works with any MCP client: Claude Code, Gemini CLI, Cursor, Windsurf, VS Code, or any tool that speaks MCP.
Do you need this?
If you're in a terminal agent (Claude Code, Codex CLI, Gemini CLI) with shell access, call Codex CLI directly. It's faster, cheaper, and zero overhead:
# Review current branch vs main
codex review --base main
# Review uncommitted changes
codex review --uncommitted
# Review with custom focus
codex review --base main "Focus on security and error handling"
# From a worktree (run inside the worktree; `-C` is broken for `review`)
cd /path/to/worktree && codex review --base main
# General analysis
codex exec "Analyze src/utils/parse.ts for edge cases"Use this MCP bridge instead when:
Your client has no shell access (Cursor, Windsurf, Claude Desktop, VS Code)
You need structured output with JSON Schema validation (Codex CLI's
--jsonhas known bugs)You need partial response capture on timeout and automatic model fallback on quota exhaustion
You want subprocess isolation: explicit env allowlist, no shell escape, secret redaction on output, FIFO-queued concurrency (max 3 parallel spawns, configurable via
CODEX_MAX_CONCURRENT)You need multi-turn conversations via session resume (
sessionId/resetSession, inspected vialistSessions)
Worktree note: Codex CLI issue #9084
breaks codex -C /path review .... Run codex review from inside the worktree to avoid it.
Related MCP server: gemini-mcp-bridge
Quick Start
npx codex-mcp-bridgePrerequisites
Codex CLI installed (
npm i -g @openai/codex)OPENAI_API_KEYenvironment variable set, orcodex auth logincompleted
Claude Code
claude mcp add codex-bridge -- npx -y codex-mcp-bridgeGemini CLI
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"codex-bridge": {
"command": "npx",
"args": ["-y", "codex-mcp-bridge"]
}
}
}Cursor / Windsurf / VS Code
Add to your MCP settings:
{
"codex-bridge": {
"command": "npx",
"args": ["-y", "codex-mcp-bridge"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}Tools
Tool | Description |
codex | Execute prompts with file context, session resume, and sandbox control. Multi-turn conversations via session IDs. Use for free-form review prompts; see Code review with this CLI. |
review | Native diff-aware Codex review via |
search | Web search via |
query | Lightweight text analysis. No repo context, no sessions. Runs in an isolated temp directory. |
structured | JSON Schema validated output via Ajv. Data extraction, classification, or any task needing machine-parseable output. |
ping | Health check with CLI version, capabilities, and concurrency diagnostics ( |
mcpStatus | Report what Codex says about each MCP server it knows about: auth type, tool inventory, and whether it initialized. Optional diagnostic mode adds explicit failure states and error text. |
listSessions | List active conversation sessions with metadata (turn count, model, timestamps). |
codex
General-purpose execution. Supports multi-turn conversations via sessionId, sandbox levels (read-only, workspace-write, full-auto), and reasoning effort control. Pass resetSession: true to discard and start fresh. Use listSessions to inspect active sessions before resuming.
Key parameters: prompt (required), files, model, sessionId, sandbox, reasoningEffort, workingDirectory, timeout (default 60s).
search
Web search powered by OpenAI's native search infrastructure via Codex CLI's --search flag. Returns synthesized answers with source URLs.
Key parameters: query (required), model, workingDirectory, timeout (default 120s).
query
Lightweight, non-agentic text analysis. Spawns in an isolated temp directory so the bridge's repo context doesn't leak. Pass text to analyze in the context parameter. Supports reasoningEffort and maxResponseLength.
Key parameters: prompt (required), context, model, reasoningEffort, timeout (default 60s).
review
Thin wrapper around Codex CLI's native diff-aware review. The bridge passes the diff selector to codex exec review --json; upstream Codex owns the review prompt. Requires a real git repository via workingDirectory.
Key parameters: mode (required: uncommitted, base, or commit), workingDirectory (required), base (required for base mode), commit (required for commit mode), title, model, timeout (default 180s).
structured
Embeds a JSON Schema in the prompt and validates the response with Ajv. Returns clean JSON on success, validation errors on failure.
Key parameters: prompt (required), schema (required, JSON string), files, model, workingDirectory, timeout (default 60s).
ping
No parameters. Returns CLI version, auth status, model configuration, and concurrency diagnostics (activeCount, queueDepth).
mcpStatus
Reports per-server MCP state as Codex's own app-server protocol sees it. Unlike every other tool, it deliberately does not suppress Codex's MCP servers or harden the subprocess environment, because both would disable the thing being measured. It therefore boots the servers in ~/.codex/config.toml and is slower than a normal call. With diagnostics: true and a workingDirectory inside a trusted project, the thread it starts also boots that project's .codex/config.toml servers.
Key parameters: diagnostics (default false), workingDirectory, timeout (per-request, default 90s).
Mode | Cost | What you get |
default | ~6-9s | Inventory: auth type, tool names and counts, and |
| ~10-20s | Adds an explicit |
Reading the output:
unknownis not a failure. It means the inventory carried no server info and no explicit verdict was available. Onlydiagnostics: truecan reportfailed.A
degradedwarning means don't trustunknown. Slow calls have been observed reporting healthy servers as uninitialized, so the tool reports how long the underlying call took and flags the result when it was slow enough to be suspect.builtInmarks a server Codex injects that is not in your config;configuredButUnreportedmarks one in your config that Codex never mentioned.
Example:
atlassian failed auth=oAuth tools=0
error: MCP client for `atlassian` failed to start: MCP startup failed: failed to
refresh OAuth tokens for server atlassian: ... invalid_grant: Grant not found
codex_apps initialized auth=bearerToken tools=117 (builtIn)
linear initialized auth=oAuth tools=57
serena initialized auth=unsupported tools=22All tools attach execution metadata (_meta) with durationMs, model, fallbackUsed, and session info where applicable. See DESIGN.md for details.
Code review with this CLI
This bridge does not bundle reviewer prompts. There are three paths for code review:
Native upstream codex review
codex review --base main
codex review --uncommitted
codex review --base main "Focus on security and error handling"Diff-aware review built into Codex CLI. No bridge involvement. Use this when your client has shell access.
Bridge review tool for native diff-aware review
{
"tool": "review",
"arguments": {
"mode": "base",
"base": "main",
"workingDirectory": "/path/to/worktree"
}
}The bridge runs codex exec review --json from workingDirectory, captures the final review text, and returns review metadata such as threadId, event counts, and redacted command output. It does not accept a prompt.
Bridge codex tool with caller-supplied prompt
{
"tool": "codex",
"arguments": {
"prompt": "<your review prompt + diff or file references>",
"sandbox": "read-only"
}
}The bridge runs codex exec --sandbox read-only with the supplied prompt and returns stdout. Use this for free-form review prompts or review inputs that are not expressible as uncommitted, base, or commit diff selectors.
Representative review prompt
A starting point; adapt freely:
Review the following diff:
<diff content>
Look for:
- Bugs that would surface in production
- Missing error handling on user-supplied input
- Tests modified to silence failures rather than verify behaviour
- Security issues (injection, missing auth checks, secret leaks)
For each finding cite file:line, severity (high/medium/low), and a suggested fix.
Skip style/formatting; assume an autoformatter handles those.The bridge has no opinion on prompt content. See ADR-001 for the rationale.
Configuration
Variable | Default | Description |
| (CLI default) | Default model for all tools |
|
| Fallback on quota exhaustion ( |
|
| Path to CLI binary |
|
| Max concurrent subprocess spawns |
| (unset) | Control which Codex internal MCP servers stay enabled. See DESIGN.md. |
|
| Root subprocesses authenticate from |
Running the bridge against a second Codex account
CODEX_HOME is a complete identity switch: auth, config.toml, skills and
thread history all live under the root, so a second root is a second install.
Every tool call this bridge makes is machine traffic rather than a session
someone is sitting in front of, which makes it a good candidate for a work or
team seat while interactive codex keeps a personal one.
Set it in the server registration rather than the ambient shell, so the choice does not depend on which terminal launched the client:
{
"mcpServers": {
"codex": {
"type": "stdio",
"command": "npx",
"args": ["-y", "codex-mcp-bridge"],
"env": {
"CODEX_HOME": "/home/you/.codex-work",
"CODEX_DEFAULT_MODEL": "gpt-5.6-sol"
}
}
}
}Three things to know before you do:
Log in as that root first, since a root is only as usable as its credentials:
CODEX_HOME=/home/you/.codex-work codex login(orcodex login --with-api-key). Check it withCODEX_HOME=/home/you/.codex-work codex login status.A JSON
envblock has no conditional. If that root loses its login, every subprocess the bridge spawns targets it anyway, with no fallback to the default root the way a shell wrapper could offer one.Set
CODEX_DEFAULT_MODELalongside it. The bridge resolvesconfig.tomlfromCODEX_HOME, so a freshly created root has none and the model drops to the CLI default. That absence also makes most ofCODEX_MCP_SERVERSinert: with nothing configured there is nothing to disable, nothing to inherit and no name to enable, which is what the default setting wants anyway. The one mode it does not disarm is a raw TOML override (a value starting{or[), which is passed straight through as-c mcp_servers=...and never readsconfig.toml.
Choosing a Codex MCP server
You need... | Consider |
Structured output, model fallback, concurrency management, session resume | This bridge |
Session threading with | |
Structured patch output with approval policies | |
Minimal | |
Native Codex MCP (experimental, no wrapper needed) |
|
Performance
Codex CLI has minimal startup overhead (<100ms), so wall time is dominated by model inference.
Scenario | Typical time |
Trivial prompt | 9-12s |
Web search | ~17s |
Default timeouts (60-300s) are comfortable for typical workloads.
Bridge family
Two MCP servers, same architecture, different underlying CLIs. Each wraps a terminal agent as a subprocess and exposes it as MCP tools. Pick the one that matches your model provider, or run both for cross-model workflows.
CLI | Codex CLI | Claude Code |
Provider | OpenAI | Anthropic |
Tools | codex, review, search, query, structured, ping, listSessions | query, review, search, structured, ping, listSessions |
Code review |
|
|
Structured output | Ajv validation | Native |
Session resume | Session IDs with multi-turn | Native |
Budget caps | Not supported | Native |
Effort control |
|
|
Cold start | <100ms (inference dominates) | ~1-2s |
Auth |
|
|
Cost | Pay-per-token | Subscription (included) or API credits |
Concurrency | 3 (configurable) | 3 (configurable) |
Model fallback | Auto-retry with fallback model | Auto-retry with fallback model |
Both share: subprocess env isolation, path sandboxing, output redaction (secret stripping), FIFO concurrency queue, MCP tool annotations, _meta response metadata, progress heartbeats.
Development
npm install
npm run build # Compile TypeScript
npm run dev # Watch mode
npm test # Run tests
npm run lint # ESLint
npm run typecheck # tsc --noEmitFurther reading
DESIGN.md - Architecture, MCP server control grammar, sessions, output parsing, response metadata
SECURITY.md - Environment isolation, path sandboxing, output redaction, resource limits
CHANGELOG.md - Release history
License
MIT
Available Tools
8 toolscodexCodex CLIADestructive
Execute a prompt via Codex CLI. Codex is an AI coding agent that can generate, analyze, refactor, and explain code with full project context (reads AGENTS.md/CODEX.md automatically).
Capabilities: code generation and refactoring, code analysis and explanation, file reading and modification (when sandbox allows), git operations and terminal commands, multi-turn conversations via sessionId.
When to use a different tool:
For analysis of text you already have (plans, docs, opinions), inline it directly in the prompt rather than passing file paths. The files parameter triggers full file I/O and increases timeout pressure.
Tips:
Set workingDirectory to the target repo for project-aware responses.
Use sandbox "read-only" (default) for analysis, "full-auto" for code changes.
Break complex tasks into focused prompts rather than one large request.
Resume multi-turn conversations with sessionId (returned in previous response metadata).
Include relevant files via the files parameter for targeted context (text and images supported).
Set reasoningEffort to control depth: "none" for trivial, "minimal" for lightweight, "low"/"medium" for routine, "high"/"xhigh" for deep analysis.
Inputs: prompt (required), files, model, sandbox, +6 more.
listSessionsList SessionsARead-onlyIdempotent
List active Codex conversation sessions. Returns session metadata for orchestration (no prompts or responses, just IDs and timing). Use to check available sessions before resuming with the codex tool's sessionId parameter.
Inputs: no named parameters.
mcpStatusMCP Server StatusARead-only
Report what Codex's own app-server says about each MCP server it knows about: auth type, tool inventory, and whether the server initialized.
Unlike the other tools, this one deliberately does NOT suppress Codex's MCP servers — suppressing them would disable the thing being measured — so it is slower than a normal call and boots the servers named in ~/.codex/config.toml.
Two modes:
Default (~6-9s): inventory only. Reports each server as "initialized" or "unknown". Creates no thread and writes no session record.
diagnostics: true (~10-20s): starts an ephemeral thread to collect startup notifications, which are the only source of an explicit "failed" state and the error text naming the cause (expired OAuth grant, missing binary, remote refusal).
Reading the output:
"unknown" is not a failure. It means the inventory carried no server info and no explicit verdict was available. Only diagnostics mode can report "failed".
A "degraded" warning means the underlying call was slow enough that healthy servers have been observed reporting as uninitialized. Treat "unknown" as unproven when it appears.
Servers marked "builtIn" are injected by Codex and are not in your config.toml. Servers marked "configuredButUnreported" are in your config.toml but absent from Codex's inventory.
Inputs: timeout, diagnostics, workingDirectory.
pingHealth CheckARead-onlyIdempotent
Health check: verifies Codex CLI is installed and authenticated, reports versions and capabilities.
Inputs: no named parameters.
queryQuick QueryARead-only
Lightweight query for analysis or opinions on text you already have. No file reading, no repo exploration, no session state. Pass text in the context parameter. For code execution or file operations, use the codex tool instead.
Use cases: reviewing a plan, critiquing a draft, comparing approaches, answering questions about provided text, generating summaries.
Tips:
Pass the text to analyze in the context parameter, not as file paths.
Set reasoningEffort to control depth: "none" for trivial, "minimal" for lightweight, "low"/"medium" for routine, "high"/"xhigh" for thorough analysis.
Use maxResponseLength to control verbosity.
Inputs: prompt (required), model, context, timeout, +2 more.
reviewNative Code ReviewADestructive
Run Codex CLI's native diff-aware review via codex exec review --json. The bridge does not accept or bundle a review prompt; upstream Codex owns the reviewer instructions.
Use for MCP clients that cannot run shell commands but need native Codex review of uncommitted changes, a base branch diff, or a single commit.
Tips:
Set workingDirectory to the target git repository.
Choose mode "uncommitted", "base", or "commit".
Use the codex tool with sandbox "read-only" for free-form review prompts.
Inputs: mode (required), workingDirectory (required), base, model, +3 more.
searchWeb SearchARead-onlyIdempotent
Web search via Codex CLI. Searches the web and synthesizes a comprehensive answer with source URLs. Use for current information, documentation lookups, API references, and research questions.
Tips:
Ask specific, focused questions for best results.
Results include source URLs for verification.
Use maxResponseLength to control response verbosity.
Default timeout is 2 minutes; increase for complex research queries that may require multiple web fetches.
Inputs: query (required), model, timeout, workingDirectory, +1 more.
structuredStructured OutputARead-only
Generate a JSON response conforming to a provided JSON Schema. Use for data extraction, classification, or any task needing machine-parseable output.
Inputs: prompt (required), schema (required), files, model, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 8 tools
Each tool has a distinct purpose, though codex/query and ping/mcpStatus have some overlap. Descriptions draw clear boundaries, but an agent could still confuse the general-purpose codex tool with its specialized variants like query or review.
Naming follows no consistent pattern: listSessions and mcpStatus use camelCase, while the rest are single lowercase verbs or nouns (codex, search, query, ping, review, structured). Some are verbs, some nouns, and one is an adjective, making the set feel inconsistent.
8 tools is appropriate for the bridge's scope, covering core execution plus specialized helpers without bloat. It sits comfortably within the typical 3-15 range and each tool earns its place.
The server covers core prompt execution, lightweight text analysis, web search, structured output, native review, session listing, and health/status checks. Minor gaps like session deletion or explicit file operations remain, but codex's own capabilities fill those holes.
Maintenance
Related MCP Connectors
Shared memory MCP server for Claude Code, Codex, Gemini CLI and Cursor. Cited, editable.
A paid remote MCP for OpenAI Codex agent coordination MCP, built to return verdicts, receipts, usage
MCP server for progressive tool usage at any scale (see https://klavis.ai)
A Model Context Protocol server for Wix AI tools
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceWraps OpenAI Codex CLI as an MCP server, exposing 8 Codex tools (exec, review, skill list, skill run, status, poll, list jobs, kill) as named tools for use with pi or codex.1,488 npmISC
- AlicenseAqualityFmaintenanceMCP server that wraps Gemini CLI as a subprocess, exposing its capabilities as Model Context Protocol tools.5130 npm6MIT
- FlicenseAqualityDmaintenanceAn MCP server that brings Parallel web search and URL extraction to Codex and other Model Context Protocol clients.243 npm-
- AlicenseNot gradedqualityBmaintenanceA local MCP server that enables Codex and other MCP clients to orchestrate native external coding-agent harnesses through a normalized lifecycle, with guarded execution and deterministic testing.92 PyPIMIT