MCP RepoBridge
Enables safe repository inspection and Docker-sandboxed command execution via MCP, with optional Codex handoff for implementation tasks.
README
MCP RepoBridge
A guarded MCP bridge for repository context, Docker-sandboxed commands, and optional Codex handoff.
MCP RepoBridge lets ChatGPT and other MCP clients inspect a project workspace without giving them a host shell.
It exposes a small set of read-only repository tools, routes command execution through a fixed Docker sandbox, and can optionally hand implementation work off to a local Codex worker. It is intentionally smaller than a general agent framework: it is the bridge between an LLM interface and a repository, not a replacement for your development environment.
Why This Exists
This project came from a pragmatic workflow:
- ChatGPT's web UI is good for interactive reading, questioning, and planning.
- Codex is better suited for longer implementation work.
- Their usage limits and working modes are separate enough that it is useful to let ChatGPT inspect a repository without spending Codex work on every small question.
- Exposing a normal local shell to a remote LLM is too much trust.
MCP RepoBridge sits in the middle. ChatGPT can read and search the project via MCP, run bounded checks inside Docker, and, when explicitly enabled, queue tasks for Codex to handle separately.
ChatGPT / MCP client
|
| HTTPS + bearer token
v
MCP RepoBridge
|
|-- read-only workspace file tools
|
|-- Docker sandbox command execution
|
|-- optional Codex task queue
The result is a small, auditable MCP server for people who want the convenience of "connect MCP and start working" without handing an LLM direct access to the host machine.
What It Provides
Default MCP tools:
read_file
list_directory
grep_files
find_files
exec_container
sandbox_status
sandbox_start
sandbox_stop
workspace_info
audit_log_tail
Optional Codex handoff tools:
codex_task_create
codex_task_list
codex_task_status
codex_task_tail
codex_task_cancel
What it deliberately does not provide:
run_shell
host_exec
write_file
edit_file
arbitrary_docker
Security Model
MCP RepoBridge assumes the MCP client and the model may make unsafe requests. The runtime enforces boundaries in code rather than relying on prompts.
Key defaults:
- host shell execution is not exposed
- host write/edit tools are not exposed
- file access is restricted to a configured workspace root
- path traversal and symlink escapes are rejected
- secret-like paths such as
.env,.ssh,.aws,.gcloud, and.secure-mcpare blocked by default - command execution goes through
docker execinto a fixed container - the model cannot choose Docker flags, container name, image, or mounts
- the default sandbox has
--network none - the default sandbox does not mount host HOME, SSH keys, cloud credentials, or the Docker socket
- command policy rejects common network, Docker, privilege escalation, and destructive commands
- every tool call is audited
Docker is risk reduction, not perfect isolation. Read SECURITY.md and docs/threat-model.md before exposing the runtime through a public tunnel.
Quick Start
Install and build:
npm install
npm test
npm run build
Build the default sandbox image:
docker build -f docker/Dockerfile.sandbox -t secure-mcp-sandbox:latest docker
Start the bridge for a project:
npm run --silent bridge -- start \
--project-root /absolute/path/to/project \
--tunnel none
Stop it:
npm run --silent bridge -- stop \
--project-root /absolute/path/to/project
The bridge writes generated state under:
<project-root>/.secure-mcp/
That directory contains runtime config, bearer tokens, logs, audit records, and optional Codex task state. It is ignored by git and blocked by the file tools.
ChatGPT Setup
For ChatGPT or another remote MCP client, start the HTTP runtime with a tunnel.
Cloudflare Quick Tunnel:
npm run --silent bridge -- start \
--project-root /absolute/path/to/project \
--tunnel cloudflare
Managed tunnel or reverse proxy:
npm run --silent bridge -- start \
--project-root /absolute/path/to/project \
--tunnel external \
--public-base-url https://mcp.example.com
The command prints:
publicMcpUrl
token
In ChatGPT, configure:
URL: publicMcpUrl
Authentication: Access token / API key
Header scheme: Bearer
Token: token value only
Do not put Bearer into the token field if the UI already has a Bearer/header
scheme option. The HTTP header must end up as:
Authorization: Bearer <token>
For a Linux server deployment flow, see docs/linux-server-tunnel.md.
Docker Sandbox
The default sandbox image is intentionally small. It is based on Node and includes:
node
npm
bash
git
ripgrep
ca-certificates
It does not try to be a full polyglot development image. If a project needs Python, Go, Rust, or another toolchain, build a trusted image and select it from local configuration:
{
"sandbox": {
"image": "secure-mcp-sandbox:latest"
}
}
The MCP client must not be allowed to choose image names, Docker flags, mount paths, network mode, or container names.
Optional Codex Handoff
Codex handoff is disabled by default.
When enabled, ChatGPT can queue structured tasks through MCP. A separate local or server-side worker claims the tasks and runs Codex in the workspace.
Start the bridge with handoff tools:
npm run --silent bridge -- start \
--project-root /absolute/path/to/project \
--tunnel none \
--codex-handoff true
Run the worker in another terminal:
npm run --silent codex-worker -- \
--config /absolute/path/to/project/.secure-mcp/runtime.config.json
Default worker command:
codex exec --sandbox workspace-write --ask-for-approval never --json -
Use this only when you explicitly want Codex to modify the workspace. The MCP request itself only creates or inspects task records.
Configuration
Start from:
examples/config.example.json
Important defaults:
- HTTP server binds to
127.0.0.1 - sandbox network is
none - workspace mount mode is
ro - root filesystem is read-only
- Linux capabilities are dropped
no-new-privilegesis enabled- memory, CPU, PID, timeout, and output limits are configured
- audit logging is enabled
Development
npm install
npm run lint
npm test
npm run build
Useful docs:
- docs/architecture.md
- docs/threat-model.md
- docs/codex-handoff.md
- docs/linux-server-tunnel.md
- README.zh-CN.md
- docs/zh-CN-guide.md
Status
MCP RepoBridge is an early 0.1.x project. The core runtime, HTTP transport,
Docker sandbox lifecycle, bridge adapter, and optional Codex handoff flow are in
place.
The project is useful today, but interfaces and deployment guidance may evolve as it is tested against more real repositories and MCP clients.
License
Apache-2.0. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.