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christian237

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37 installs
| (0) | Free
MCP Client extension for VS Code
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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VS Code MCP Client (nys)

A Visual Studio Code extension that connects to Model Context Protocol (MCP) servers. It provides an AI Chat panel, executes prompts, lists available tools, and supports both HTTP/WebSocket servers and local stdio binaries.

Extension icon

Key Features

  • Connect to MCP servers
    • Standard HTTP/WebSocket servers (default)
    • Stdio mode for local binaries (e.g., GitHub MCP server)
  • AI Chat webview (View: MCP AI Chat → AI Chat)
  • Commands: Connect, Execute Prompt, List Tools, Open Chat View, Disconnect
  • Status bar integration (connection/processing state)
  • Tool discovery cached on connect (no periodic 30‑min refresh)
  • Optional semantic tool selection using external embedding/vector backends (Vector MCP or Milvus)

Requirements

  • Visual Studio Code 1.60.0 or newer
  • Access to an MCP server:
    • Standard HTTP/WebSocket endpoint, or
    • A local stdio-compatible binary (e.g., github-mcp-server), or
    • Optional demo Filesystem server (run-mcp-server.sh)
  • Credentials:
    • API key for your MCP/LLM service, or
    • GitHub Personal Access Token when using github-mcp-server
  • Optional for semantic tool selection:
    • Embedding MCP endpoint and Vector MCP endpoint, or
    • A reachable Milvus instance
  • For building/packaging from source: Node.js and npm

Quick Start

  1. Install
  • From VSIX: Build or download a .vsix, then in VS Code: Extensions → … → Install from VSIX…
  1. Configure (Settings → “MCP Client”)
  • mcpClient.serverUrl
    • Standard HTTP/WS example: http://localhost:8080
    • Stdio example: /path/to/github-mcp-server (you may pass args; the extension appends "stdio" if missing)
  • mcpClient.apiKey or mcpClient.githubToken
    • For stdio GitHub MCP server, prefer githubToken. In stdio mode, the extension passes it to GITHUB_PERSONAL_ACCESS_TOKEN/GITHUB_TOKEN.
  • mcpClient.modelProvider and mcpClient.modelName (openai | anthropic | gemini)
  • Optional semantic settings (see Configuration)
  1. Use
  • Command Palette → MCP: Connect to Server
  • Command Palette → MCP: Open Chat View (or MCP: Execute Prompt)
  • Command Palette → MCP: List Available Tools

Commands

  • MCP: Connect to Server (vscode-mcp-client.connect)
  • MCP: Disconnect (vscode-mcp-client.disconnect)
  • MCP: Execute Prompt (vscode-mcp-client.executePrompt)
  • MCP: List Available Tools (vscode-mcp-client.listTools)
  • MCP: Open Chat View (vscode-mcp-client.openChatView)

Configuration (summary)

The extension contributes settings under mcpClient. Common keys:

  • serverUrl: string — URL of MCP server, or path to stdio binary
  • apiKey: string — API key (LLM/MCP token). In stdio mode for GitHub MCP, githubToken is preferred
  • githubToken: string — GitHub Personal Access Token for github-mcp-server
  • modelProvider: openai | anthropic | gemini — provider for LLM-assisted parsing/presentation
  • modelName: string — model identifier (optional)

Semantic selection (optional, for tool ranking):

  • embeddingUrl: string — Embedding MCP endpoint
  • vectorUrl: string — Vector MCP endpoint
  • namespace: string — Namespace for vectors
  • topK: number — Default hits to return

Milvus (optional alternative to Vector MCP):

  • milvusAddress: string — Host (e.g., localhost)
  • milvusPort: number — Port
  • milvusUseSSL: boolean — Use TLS
  • milvusUser/milvusPassword: string — Auth (if enabled)
  • milvusCollectionPrefix: string — Prefix for collections (default tools_)

Behavior notes:

  • Tool catalog is requested and cached on connection; no scheduled refresh. Semantic index rebuilds only when the toolset changes.

Examples

Standard HTTP/WebSocket server (default mode):

{
  "mcpClient.serverUrl": "http://localhost:8080",
  "mcpClient.apiKey": "YOUR_API_KEY"
}

Stdio GitHub MCP server (binary or Docker):

{
  "mcpClient.serverUrl": "/path/to/github-mcp-server",
  "mcpClient.githubToken": "YOUR_GITHUB_PAT"
}

Docker example via stdio:

{
  "mcpClient.serverUrl": "docker run --rm -i ghcr.io/github/github-mcp-server",
  "mcpClient.githubToken": "YOUR_GITHUB_PAT"
}

Packaging (build a VSIX)

Prerequisites: Node.js, npm

npm install
# Standard package (no node_modules included)
npm run package
# Package without dependencies (explicit)
npm run package-no-deps
# Webpack bundle (single-file bundle prior to packaging)
npm run webpack-bundle
# Create a full VSIX including dependencies
npm run create-full-vsix
# One-step install to VS Code (local) if available on your system
npm run direct-install

You can also use scripts/simple-build.sh or bundle-and-install.sh if present in your environment.

Optional: Filesystem Server Helper

A helper script is provided to run a demo Filesystem MCP server in WebSocket mode:

chmod +x ./run-mcp-server.sh
./run-mcp-server.sh --port 8080 --mode websocket --dir /path/to/project

Security & Privacy

  • No telemetry is collected by this extension.
  • Network access is limited to the endpoints you configure (MCP server, optional Embedding MCP, Vector MCP, or Milvus).
  • Credentials:
    • Standard HTTP/HTTPS: If provided, an Authorization: Bearer header is used for MCP requests.
    • Stdio mode: Tokens are forwarded to the MCP binary via environment variables (GITHUB_PERSONAL_ACCESS_TOKEN, GITHUB_TOKEN, API_KEY) for compatibility.
    • Tokens are only persisted if you explicitly save them in VS Code settings.
  • Tool discovery is cached in memory for the session after connecting; there is no periodic background refresh.
  • Logs may include masked identifiers for debugging; avoid sharing logs that could contain sensitive project details.

Troubleshooting

  • Not connected? Ensure serverUrl is correct. For stdio, verify the binary path and that your token is valid.
  • GitHub MCP stdio: In stdio mode the extension forwards the token via GITHUB_PERSONAL_ACCESS_TOKEN/GITHUB_TOKEN and API_KEY env vars.
  • Tool list empty? Connect first; tools are fetched on connect and cached for the session.
  • Semantic selection requires embedding/vector config (Vector MCP) or Milvus connectivity.

Links

  • Changelog: CHANGELOG.md
  • Usage guide: USAGE_GUIDE.md
  • Publish guide: publishGuide.md
  • Issues & Support: https://github.com/Christiantyemele/mimie/issues

License

MIT

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