What does this server do?
It acts as an MCP server within Visual Studio Code, bridging VS Code with Claude AI by handling the Model Context Protocol.
Vs Cline MCP Server
@erer92
Basic information
About Vs Cline MCP Server
No overview available yet
Vs Cline MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryVs Cline MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is vs-cline-mcp-server?
vs-cline-mcp-server is an MCP (Model Context Protocol) server implementation for Visual Studio Code that enables integration with Claude AI. It provides MCP protocol support, facilitates communication with Claude AI, and allows custom tools and resources.
How to use vs-cline-mcp-server?
Install dependencies with npm install and start the server with npm start. No additional configuration steps are documented.
Key features of vs-cline-mcp-server
- Supports the MCP protocol for standardized AI tool communication
- Enables bidirectional communication with Claude AI
- Allows definition of custom tools and resources
Use cases of vs-cline-mcp-server
- Running AI-assisted code operations within VS Code using Claude
- Building custom IDE extensions that leverage Claude AI capabilities
- Simplifying integration of large language models into development workflows
Frequently asked questions
How do I install vs-cline-mcp-server?
Run `npm install` in the project directory to install dependencies.
How do I start the server?
Execute `npm start` from the project directory after installation.
What dependencies are required?
The server requires Node.js and npm, as indicated by the use of `npm install`.
Does the server support custom tools?
Yes, the README explicitly states support for custom tools and resources.
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