ctxray MCP Server
ctxray is a Python MCP server for Cursor, VS Code, Codex with uvx/pip, docker. See how you really use AI — X-ray your AI coding sessions locally
How to use ctxray MCP Server
Install or run
pip install ctxray # core (all features, zero config)
pip install ctxray[chinese] # + Chinese prompt analysis (jieba)
pip install ctxray[mcp] # + MCP server for Claude Code / Continue.dev / ZedCompatible clients
What is ctxray MCP Server?
ctxray is a Python MCP server for Cursor, VS Code, Codex with uvx/pip, docker. See how you really use AI — X-ray your AI coding sessions locally This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Tool access support
- Shell commands support
- Browser use support
- Document generation support
- OpenAI provider support
- Anthropic provider support
- Google provider support
Available tools
Technical details
Install or run ctxray using uvx/pip. Check ctxray/ctxray for the latest setup command.
- Built for Python
- Built for Docker
- Built for Rust
- Install or run with uvx/pip
- Install or run with docker
- Works with Cursor
- Works with VS Code
- Works with Codex
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use ctxray MCP Server
- Use it for connecting agents to external tools and data.
- Use it for integrations workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for cursor users.
Built with
Explore related resources
Frequently asked questions
What is ctxray?
ctxray is a Python MCP server for Cursor, VS Code, Codex with uvx/pip, docker. See how you really use AI — X-ray your AI coding sessions locally
Who is ctxray best for?
ctxray is best for connecting agents to external tools and data, integrations workflows, coding workflows, data workflows, cursor users.
How do I install ctxray?
Install or run ctxray using uvx/pip. Check ctxray for the latest setup command.
Is ctxray actively maintained?
ctxray may need a closer maintenance check before production use.
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