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Make CoPilot an Interactive Programmer MCP Server

@BetterThanTomorrow

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

BetterThanTomorrow

关于 Make CoPilot an Interactive Programmer MCP Server

VS Code AI Agent Interactive Programming. Tools for CoPIlot and other assistants. Can also be used as an MCP server.

Make CoPilot an Interactive Programmer MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Make CoPilot an Interactive Programmer MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Make CoPilot an Interactive Programmer?

Make CoPilot an Interactive Programmer is a VS Code extension (Calva Backseat Driver) that gives AI agents—such as GitHub Copilot and Cursor—access to Calva’s Clojure tools, including the REPL, file management, and structural editing. It is designed for Clojure developers who want to use AI for interactive programming directly within VS Code.

How to use Make CoPilot an Interactive Programmer?

Install the Calva and Calva Backseat Driver extensions in VS Code, then connect Calva to your Clojure/ClojureScript project. For Copilot and Cursor, zero configuration is required—simply ask Copilot to use the REPL. For other AI harnesses, configure the MCP server per project. The agent will automatically discover and use the provided tools and skills.

Key features of Make CoPilot an Interactive Programmer

  • Evaluate Clojure code via the REPL in any active session
  • Create Clojure files with automatic bracket balancing
  • Append code to existing Clojure files with bracket balancing
  • Replace top-level forms with structural editing and linting
  • Insert top-level forms with formatting and bracket balancing
  • Look up symbol documentation, arguments, and ClojureDocs examples

Use cases of Make CoPilot an Interactive Programmer

  • AI-assisted REPL-driven development in Clojure projects
  • Structural editing of Clojure code via natural language commands
  • Parallel subagents investigating implementation approaches simultaneously
  • Learning Clojure idioms by having the AI look up symbols and docs
  • Rapid prototyping with zero-config Copilot integration

常见问题

1

What dependencies are required?

VS Code, the Calva extension, the Calva Backseat Driver extension, and GitHub Copilot (or another MCP-compliant assistant).

2

How does the server connect to AI agents?

For Copilot and Cursor, it uses VS Code LM Tools and the Cursor MCP API with zero configuration. Other agents require manual MCP setup.

3

Are there limits on REPL evaluation results?

Yes: `calva-backseat-driver.evaluation.maxLength` (default 25 items) and `maxDepth` (default 7 levels) prevent large results from overflowing the agent’s context window.

4

Where are project or user data stored?

The README does not specify data storage; all evaluation and editing happens live in the connected REPL and VS Code workspace.

5

Can I review edits made by the AI?

There is no built-in UI for reviewing edits; the README suggests using VS Code’s source control and Timeline view for this purpose.

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