pulsar-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pulsar-mcpread the current file content"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
pulsar-mcp
Model Context Protocol server, that provides Pulsar editor tools to AI assistants.
Features
MCP protocol: Version 2025-11-25 with tool annotations support.
HTTP bridge: Server running inside Pulsar for direct API access.
Standalone server: MCP server script for Claude CLI integration.
Editor tools: Get/set content, open/save files, manage selections.
Extensible: Other packages can register tools via
mcp-toolsservice.Toggle tools: Enable/disable individual tools via select list. Destructive tools disabled by default.
claude-chat integration: Auto-connects the MCP server to each Claude session via the provided service.
Related MCP server: Pulsar Edit MCP Server
Installation
To install pulsar-mcp search for pulsar-mcp in the Install pane of the Pulsar settings or run ppm install pulsar-mcp. Alternatively, you can run ppm install asiloisad/pulsar-pulsar-mcp to install a package directly from the GitHub repository.
Commands
Commands available in atom-workspace:
pulsar-mcp:toggle-tools: toggle individual tools on/off,pulsar-mcp:start: start the MCP bridge server,pulsar-mcp:stop: stop the MCP bridge server,pulsar-mcp:status: show current bridge status and port.
Commands available in .pulsar-mcp:
select-list:enable-all: enable all tools,select-list:disable-all: disable all tools,select-list:reset-defaults: reset to defaults.
Built-in Tools
Tool | Description | Default |
| Get editor metadata (path, grammar, modified, lineCount) | Enabled |
| Get metadata for all open text editors | Enabled |
| Read active editor content with line pagination (use agent's file tools for other files) | Enabled |
| Write text at cursor or replace range in active editor (use agent's file tools for other files) | Enabled |
| Open an existing file in editor with optional position ( | Enabled |
| Save a file (active editor or specific path) | Enabled |
| Get all selections/cursors with positions and text from active editor | Enabled |
| Set multiple selections/cursors at specific positions in active editor | Enabled |
| Close an editor tab | Disabled |
| Get project root folders | Enabled |
| Add a folder to project roots | Enabled |
| Remove a folder from project roots | Disabled |
MCP Client Integration
The standalone MCP server (lib/server.js) can be used with any MCP-compatible client. The server connects to the Pulsar bridge via PULSAR_BRIDGE_PORT (default 3000). Check the actual port with pulsar-mcp:status. It auto-increments when multiple Pulsar windows are open.
Claude Code
Register the server with the Claude CLI:
claude mcp add -e PULSAR_BRIDGE_PORT=3000 pulsar -- node ~/.pulsar/packages/pulsar-mcp/lib/server.jsOn Windows:
claude mcp add -e PULSAR_BRIDGE_PORT=3000 pulsar -- node "%USERPROFILE%\.pulsar\packages\pulsar-mcp\lib\server.js"JSON config
{
"mcpServers": {
"pulsar": {
"command": "node",
"args": ["~/.pulsar/packages/pulsar-mcp/lib/server.js"],
"env": {
"PULSAR_BRIDGE_PORT": "3000"
}
}
}
}On Windows, use "%USERPROFILE%\.pulsar\packages\pulsar-mcp\lib\server.js".
Provided Service pulsar-mcp
Provides access to the MCP bridge state: port, running status, and server script path. Used by claude-chat to auto-connect the MCP server.
In your package.json:
{
"consumedServices": {
"pulsar-mcp": {
"versions": {
"1.0.0": "consumePulsarMcp"
}
}
}
}In your main module:
consumePulsarMcp(service) {
// Get current bridge port
const port = service.getBridgePort();
// Check if bridge is running
const running = service.isRunning();
// Get path to MCP server script
const serverPath = service.getServerPath();
}Consumed Service mcp-tools
Other Pulsar packages can provide additional MCP tools by implementing the mcp-tools service. Each tool defines a name, description, input schema, and execute function.
In your package.json:
{
"providedServices": {
"mcp-tools": {
"versions": {
"1.0.0": "provideMcpTools"
}
}
}
}In your main module:
module.exports = {
provideMcpTools() {
return [
{
name: "MyCustomTool",
description: "Description for the AI",
inputSchema: {
type: "object",
properties: {
param: { type: "string", description: "Parameter description" }
},
required: ["param"]
},
annotations: { readOnlyHint: true },
execute({ param }) {
// Tool implementation
return { result: "data" };
}
}
];
}
}Contributing
Got ideas to make this package better, found a bug, or want to help add new features? Just drop your thoughts on GitHub. Any feedback is welcome!
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