productive-io-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., "@productive-io-mcplist my open tasks"
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.
Productive.io MCP Server
A Model Context Protocol (MCP) server for interacting with Productive.io task management platform.
Features
🔧 Extensible Architecture - Plugin-based tool system for easy extension
📦 Modular Design - Clean separation of concerns with TypeScript
🔒 Type-Safe - Full TypeScript support with strict type checking
⚙️ Configuration Management - Environment-based configuration
🎯 Easy to Extend - Add new tools by creating a single class
Related MCP server: productive-mcp-rb2
Installation
# Install dependencies
pnpm install
# Build the project
npm run buildConfiguration
For Claude Desktop
Add the MCP server to your Claude Desktop config file with environment variables:
Location:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Configuration:
{
"mcpServers": {
"productive.io": {
"command": "node",
"args": ["/Users/joelkrause/dev/productive-mcp/build/index.js"],
"env": {
"PRODUCTIVE_API_TOKEN": "your-api-token-here",
"PRODUCTIVE_ORGANIZATION_ID": "your-organization-id",
"PRODUCTIVE_USER_ID": "your-user-id"
}
}
}
}For Development/Testing
You can also use a .env file (use .env.example as a template):
cp .env.example .envRequired environment variables:
PRODUCTIVE_API_TOKEN- Your Productive.io API tokenPRODUCTIVE_ORGANIZATION_ID- Your organization IDPRODUCTIVE_USER_ID- Your user ID
Available Tools
get_task
Get a single task from Productive.io by URL.
Parameters:
url(string) - Productive.io task URL
get_tasks
Get multiple tasks with optional filters.
Parameters:
assignee_id(string, optional) - Filter by assignee IDstatus(number, optional) - Filter by status (1=Open, 2=Closed)project_id(string, optional) - Filter by project ID
Project Structure
src/
├── config/ # Configuration management
│ └── index.ts # Environment-based config loader
├── services/ # API clients and services
│ └── ProductiveApiClient.ts # Typed Productive.io API client
├── tools/ # MCP tools (plugins)
│ ├── base/ # Base tool class
│ │ └── BaseTool.ts
│ ├── get-task/ # Individual tool modules
│ │ ├── index.ts # Tool implementation
│ │ ├── handler.ts # Business logic (includes URL extraction)
│ │ └── schema.ts # Zod validation schema
│ ├── get-tasks/
│ │ ├── index.ts
│ │ ├── handler.ts
│ │ └── schema.ts
│ └── index.ts # Tool registry and auto-registration
├── types/ # TypeScript type definitions
│ ├── config.types.ts
│ ├── productive.types.ts
│ └── tool.types.ts
└── index.ts # Main entry pointAdding a New Tool
Adding a new tool is simple with the extensible architecture:
1. Create a new tool directory
mkdir -p src/tools/your-tool2. Create the schema (src/tools/your-tool/schema.ts)
import { z } from "zod";
export const YourToolSchema = z.object({
param1: z.string().describe("Description of param1"),
param2: z.number().optional().describe("Optional param2"),
});
export type YourToolInput = z.infer<typeof YourToolSchema>;3. Create the handler (src/tools/your-tool/handler.ts)
import { ProductiveApiClient } from "../../services/ProductiveApiClient.js";
import { ToolResponse } from "../../types/tool.types.js";
export async function handleYourTool(
input: YourToolInput,
apiClient: ProductiveApiClient
): Promise<ToolResponse> {
try {
// Your logic here
const result = await apiClient.someMethod();
return {
content: [{ type: "text", text: "Success!" }],
};
} catch (error) {
return {
content: [
{
type: "text",
text: `Error: ${error instanceof Error ? error.message : "Unknown"}`,
},
],
isError: true,
};
}
}4. Create the tool class (src/tools/your-tool/index.ts)
import { BaseTool } from "../base/BaseTool.js";
import { ProductiveApiClient } from "../../services/ProductiveApiClient.js";
import { ToolResponse } from "../../types/tool.types.js";
import { YourToolSchema, YourToolInput } from "./schema.js";
import { handleYourTool } from "./handler.js";
export class YourTool extends BaseTool<YourToolInput> {
readonly name = "your_tool";
readonly description = "Description of what your tool does";
readonly schema = YourToolSchema;
private apiClient: ProductiveApiClient;
constructor(apiClient?: ProductiveApiClient) {
super();
this.apiClient = apiClient || new ProductiveApiClient();
}
async execute(input: YourToolInput): Promise<ToolResponse> {
return handleYourTool(input, this.apiClient);
}
}5. Register the tool (src/tools/index.ts)
import { YourTool } from "./your-tool/index.js";
export function getAllTools(): Tool[] {
return [
new GetTaskTool(),
new GetTasksTool(),
new YourTool(), // Add your tool here
];
}That's it! Your new tool will be automatically registered and available.
Development
# Build the project
npm run build
# Watch mode for development
npm run dev
# Type checking only
npm run typecheck
# Clean build directory
npm run clean
# Clean and rebuild
npm run rebuildArchitecture Benefits
Extensibility
Plugin-based: New tools are self-contained modules
Auto-registration: Tools are automatically registered from the registry
No core changes: Adding tools doesn't require modifying the main server code
Type Safety
Full TypeScript: Strict type checking enabled
Type inference: Zod schemas provide runtime validation and compile-time types
API types: Fully typed Productive.io API responses
Maintainability
Separation of concerns: Each tool has its own directory with schema, handler, and implementation
Reusable components: BaseTool provides common functionality
Clear structure: Easy to navigate and understand
Best Practices
Error handling: Consistent error responses across all tools
Configuration: Environment-based configuration management
Documentation: JSDoc comments throughout the codebase
License
MIT
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Maintenance
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