Add Origin/mcp-server to user-agent. Truncate inputSchema description to 200 characters. Limit enums to 50 values.

Author: jirispilka

README.md

@@ -301,15 +301,21 @@ npm run build
 You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:
 
 ```bash
-npx @modelcontextprotocol/inspector node /path/to/actor-mcp-server/dist/index.js --env APIFY_TOKEN=your-apify-token
+npx @modelcontextprotocol/inspector node @apify/actors-mcp-server --env APIFY_TOKEN=your-apify-token
 ```
 
 Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
 
+## ⓘ Limitations and feedback
+
+To limit the context size the properties in the `input schema` are pruned and description is truncated to 200 characters.
+Enum fields and titles are truncated to max 50 options.
+
+If you need other features or have any feedback, please [submit an issue](https://console.apify.com/actors/3ox4R101TgZz67sLr/issues) in Apify Console to let us know.
+
 # 🚀 Roadmap (January 2025)
 
 - Document examples for [Superinference.ai](https://superinterface.ai/) and [LibreChat](https://www.librechat.ai/).
 - Provide tools to search for Actors and load them as needed.
 - Add Apify's dataset and key-value store as resources.
 - Add tools such as Actor logs and Actor runs for debugging.
-- Prune Actors input schema to reduce context size.

src/actorDefinition.ts

@@ -1,8 +1,9 @@
 import { Ajv } from 'ajv';
 import { ApifyClient } from 'apify-client';
 
+import { MAX_DESCRIPTION_LENGTH, MAX_ENUM_LENGTH } from './const.js';
 import { log } from './logger.js';
-import type { ActorDefinitionWithDesc, Tool } from './types';
+import type { ActorDefinitionWithDesc, Tool, SchemaProperties } from './types.js';
 
 /**
  * Get actor input schema by actor name.
@@ -52,6 +53,38 @@ async function fetchActorDefinition(actorFullName: string): Promise<ActorDefinit
     }
 }
 
+/**
+ * Shortens the description and enum values of schema properties.
+ * @param properties
+ */
+function shortenProperties(properties: { [key: string]: SchemaProperties}): { [key: string]: SchemaProperties } {
+    for (const property of Object.values(properties)) {
+        if (property.description.length > MAX_DESCRIPTION_LENGTH) {
+            property.description = `${property.description.slice(0, MAX_DESCRIPTION_LENGTH)}...`;
+        }
+        if (property.enum) {
+            property.enum = property.enum.slice(0, MAX_ENUM_LENGTH);
+        }
+        if (property.enumTitles) {
+            property.enumTitles = property.enumTitles.slice(0, MAX_ENUM_LENGTH);
+        }
+    }
+    return properties;
+}
+
+/**
+ * Filters schema properties to include only the necessary fields.
+ * @param properties
+ */
+function filterSchemaProperties(properties: { [key: string]: SchemaProperties }): { [key: string]: SchemaProperties } {
+    const filteredProperties: { [key: string]: SchemaProperties } = {};
+    for (const [key, property] of Object.entries(properties)) {
+        const { title, description, enum: enumValues, enumTitles, type, default: defaultValue, prefill } = property;
+        filteredProperties[key] = { title, description, enum: enumValues, enumTitles, type, default: defaultValue, prefill };
+    }
+    return filteredProperties;
+}
+
 /**
  * Fetches actor input schemas by actor full names and creates MCP tools.
  *
@@ -70,6 +103,10 @@ export async function getActorsAsTools(actors: string[]): Promise<Tool[]> {
     const tools = [];
     for (const result of results) {
         if (result) {
+            if (result.input && 'properties' in result.input && result.input) {
+                const properties = filterSchemaProperties(result.input.properties as { [key: string]: SchemaProperties });
+                result.input.properties = shortenProperties(properties);
+            }
             try {
                 tools.push({
                     name: result.name.replace('/', '_'),

src/const.ts

@@ -3,6 +3,11 @@ export const SERVER_VERSION = '0.1.0';
 
 export const HEADER_READINESS_PROBE = 'x-apify-container-server-readiness-probe';
 
+export const MAX_ENUM_LENGTH = 50;
+export const MAX_DESCRIPTION_LENGTH = 200;
+
+export const USER_AGENT_ORIGIN = 'Origin/mcp-server';
+
 export const defaults = {
     actors: [
         'apify/instagram-scraper',

src/examples/client_sse.py

@@ -34,6 +34,10 @@ async def run() -> None:
 
             tools = await session.list_tools()
             print("Available Tools:", tools, end="\n\n")
+            for tool in tools.tools:
+                print(f"\n### Tool name ###: {tool.name}")
+                print(f"\tdescription: {tool.description}")
+                print(f"\tinputSchema: {tool.inputSchema}")
 
             if hasattr(tools, "tools") and not tools.tools:
                 print("No tools available!")

src/server.ts

@@ -5,8 +5,10 @@
 import { Server } from '@modelcontextprotocol/sdk/server/index.js';
 import type { Transport } from '@modelcontextprotocol/sdk/shared/transport.js';
 import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js';
+import type { ApifyClientOptions } from 'apify';
 import { Actor } from 'apify';
 import { ApifyClient } from 'apify-client';
+import type { AxiosRequestConfig } from 'axios';
 
 import { getActorsAsTools } from './actorDefinition.js';
 import {
@@ -15,6 +17,7 @@ import {
     defaults,
     SERVER_NAME,
     SERVER_VERSION,
+    USER_AGENT_ORIGIN,
 } from './const.js';
 import { log } from './logger.js';
 import type { Tool } from './types';
@@ -43,6 +46,18 @@ export class ApifyMcpServer {
         this.setupToolHandlers();
     }
 
+    /**
+     * Adds a User-Agent header to the request config.
+     * @param config
+     * @private
+     */
+    private addUserAgent(config: AxiosRequestConfig): AxiosRequestConfig {
+        const updatedConfig = { ...config };
+        updatedConfig.headers = updatedConfig.headers ?? {};
+        updatedConfig.headers['User-Agent'] = `${updatedConfig.headers['User-Agent'] ?? ''}; ${USER_AGENT_ORIGIN}`;
+        return updatedConfig;
+    }
+
     /**
      * Calls an Apify actor and retrieves the dataset items.
      *
@@ -60,7 +75,9 @@ export class ApifyMcpServer {
         }
         try {
             log.info(`Calling actor ${actorName} with input: ${JSON.stringify(input)}`);
-            const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
+
+            const options: ApifyClientOptions = { requestInterceptors: [this.addUserAgent] };
+            const client = new ApifyClient({ ...options, token: process.env.APIFY_TOKEN });
             const actorClient = client.actor(actorName);
 
             const results = await actorClient.call(input);

src/types.ts

@@ -18,3 +18,13 @@ export interface Tool {
     inputSchema: object;
     ajvValidate: ValidateFunction;
 }
+
+export interface SchemaProperties {
+    title: string;
+    description: string;
+    enum: string[]; // Array of string options for the enum
+    enumTitles: string[]; // Array of string titles for the enum
+    type: string; // Data type (e.g., "string")
+    default: string;
+    prefill: string;
+}