Integration · MODEL CONTEXT PROTOCOL
johnpapa peacock mcp
MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
WHAT IT CONNECTS
What johnpapa peacock mcp gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
Note: All data used by this MCP server is fetched from the official Peacock documentation.
- Fetch Peacock docs: Get detailed info on Peacock.
- Description: Fetches the Peacock for VS Code extension docs from its GitHub repository and answers questions based on the documentation
- Input:
prompt(query): The question about Peacock.
- Returns: Your answer!
Install Peacock for VS Code HERE.
Note: If you already have the MCP server enabled with Claude Desktop, add
chat.mcp.discovery.enabled: truein your VS Code settings and it will discover existing MCP server lists.
If you want to associate the MCP server with a specific repo, create a .vscode/mcp.json file with this content:
{
"inputs": [],
"servers": {
"peacock-mcp": {
"command": "npx",
// "command": "node",
"args": [
"-y",
"@johnpapa/peacock-mcp"
// "_git/peacock-mcp/dist/index.js"
],
"env": {}
}
}
}If you want to associate the MCP server with all repos, add the following to your VS Code User Settings JSON:
"mcp": {
"servers": {
"peacock-mcp": {
"command": "npx",
// "command": "node",
"args": [
"-y",
"@johnpapa/peacock-mcp"
// "/Users/papa/_git/peacock-mcp/dist/index.js"
// "_git/peacock-mcp/dist/index.js"
],
"env": {}
}
}
}
"chat.mcp.discovery.enabled": true,Note: For quick installation, click the install buttons at the top of this README.
To manually install the Peacock MCP server in VS Code, follow these steps:
- Open VS Code Settings (JSON) by pressing
Cmd+Shift+P(macOS) orCtrl+Shift+P(Windows/Linux) and searching for "Preferences: Open User Settings (JSON)" - Add the following JSON to your settings file:
{
"mcp": {
"servers": {
"peacock-mcp": {
"command": "npx",
"args": ["-y", "@johnpapa/peacock-mcp"],
"env": {}
}
}
},
"chat.mcp.discovery.enabled": true
}For VS Code Stable:
code --add-mcp '{"name":"peacock-mcp","command":"npx","args":["-y","@johnpapa/peacock-mcp"],"env":{}}'For VS Code Insiders:
code-insiders --add-mcp '{"name":"peacock-mcp","command":"npx","args":["-y","@johnpapa/peacock-mcp"],"env":{}}'To install Peacock MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @johnpapa/peacock-mcp --client claudeIf you'd like to run MCP Inspector locally to test the server, follow these steps:
-
Clone this repository:
git clone https://github.com/johnpapa/peacock-mcp
-
Install the required dependencies and build the project.
npm install npm run build
-
(Optional) To try out the server using MCP Inspector run the following command:
# Start the MCP Inspector npx @modelcontextprotocol/inspector node build/index.jsVisit the MCP Inspector URL shown in the console in your browser. Change
Argumentstodist/index.jsand selectConnect. SelectList Toolsto see the available tools.
-
Now that the mcp server is discoverable, open GitHub Copilot and select the
Agentmode (notChatorEdits). -
Select the "refresh" button in the Copilot chat text field to refresh the server list.
-
Select the "🛠️" button to see all the possible tools, including the ones from this repo.
-
Put a question in the chat that would naturally invoke one of the tools, for example:
How do I set my VS Code accent colors?Note: If you see "Sorry, the response was filtered by the Responsible AI Service. Please rephrase your prompt and try again.", try running it again or rephrasing the prompt.
COMMUNITY