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🤖 AI agent using mastra.ai with Apify MCP Server. 🚀 Runs queries via OpenAI models, taps Apify Actors for web data, and outputs to datasets. 🛠️

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  • Created in Mar 2025

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.dockerignore

1# github
2.github
3
4# configurations
5.idea
6.vscode
7
8# crawlee and apify storage folders
9apify_storage
10crawlee_storage
11storage
12
13# installed files
14node_modules
15
16# git folder
17.git
18
19# dist folder
20dist

.editorconfig

1root = true
2
3[*]
4indent_style = space
5indent_size = 4
6charset = utf-8
7trim_trailing_whitespace = true
8insert_final_newline = true
9end_of_line = lf

.eslintrc

1{
2    "root": true,
3    "env": {
4        "es2022": true,  // Update from es2020
5        "node": true
6    },
7    "extends": [
8        "@apify/eslint-config-ts"
9    ],
10    "parserOptions": {
11        "project": "./tsconfig.json",
12        "ecmaVersion": 2022  // Match ES2022
13    },
14    "ignorePatterns": [
15        "node_modules",
16        "dist",
17        "**/*.d.ts"
18    ],
19    "rules": {
20        "@typescript-eslint/no-unused-vars": ["error"],  // Enforce unused vars
21        "import/order": ["error", { "alphabetize": { "order": "asc" } }],  // Sort imports
22        "@typescript-eslint/space-before-function-paren": "off", // Disable the invalid rule
23        "space-before-function-paren": ["error", "always"]     // Use ESLint’s rule instead
24    }
25}

.gitignore

1# This file tells Git which files shouldn't be added to source control
2
3.idea
4.vscode
5storage
6apify_storage
7crawlee_storage
8node_modules
9dist
10tsconfig.tsbuildinfo
11
12# Added by Apify CLI
13.venv

.prettierrc

1{
2  "tabWidth": 4,
3  "singleQuote": true,
4  "semi": true
5}

LICENSE

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package.json

1{
2	"name": "actor-mastra-mcp",
3	"version": "0.0.1",
4	"type": "module",
5	"description": "This is an example of an Apify Actor.",
6	"engines": {
7		"node": ">=18.0.0"
8	},
9	"dependencies": {
10		"@ai-sdk/openai": "^1.2.5",
11		"@mastra/core": "^0.4.4",
12		"@mastra/mcp": "^0.3.1",
13		"apify": "^3.3.2",
14		"mastra": "^0.2.8",
15		"zod": "^3.24.2"
16	},
17	"devDependencies": {
18		"@apify/eslint-config-ts": "^0.3.0",
19		"@apify/tsconfig": "^0.1.0",
20		"@types/json-schema": "^7.0.15",
21		"@types/node": "^22.13.10",
22		"@typescript-eslint/eslint-plugin": "^8.26.1",
23		"@typescript-eslint/parser": "^8.26.1",
24		"eslint": "^8.57.1",
25		"prettier": "^3.5.3",
26		"tsx": "^4.19.3",
27		"typescript": "^5.8.2"
28	},
29	"scripts": {
30		"start": "npm run start:dev",
31		"start:prod": "node dist/main.js",
32		"start:dev": "tsx src/main.ts",
33		"build": "tsc",
34		"test": "echo \"Error: oops, the Actor has no tests yet, sad!\" && exit 1",
35		"format": "prettier --write \"src/**/*.{ts,js,json}\" && eslint ./src --ext .ts --fix",
36		"lint": "eslint ./src --ext .ts"
37	},
38	"author": "It's not you it's me",
39	"license": "ISC"
40}

tsconfig.json

1{
2    "extends": "@apify/tsconfig",
3    "compilerOptions": {
4        "module": "NodeNext",
5        "moduleResolution": "NodeNext",
6        "target": "ES2022",
7        "outDir": "dist",
8        "skipLibCheck": true,
9        "strict": true,              // Enable all strict options
10        "noUnusedLocals": true,      // Catch unused variables
11        "lib": []                    // Remove DOM unless needed; Node globals are sufficient
12    },
13    "include": [
14        "./src/**/*"
15    ]
16}

.actor/Dockerfile

1# Specify the base Docker image. You can read more about
2# the available images at https://docs.apify.com/sdk/js/docs/guides/docker-images
3# You can also use any other image from Docker Hub.
4FROM apify/actor-node:22 AS builder
5
6# Copy just package.json and package-lock.json
7# to speed up the build using Docker layer cache.
8COPY package*.json ./
9
10# Install all dependencies. Don't audit to speed up the installation.
11RUN npm install --include=dev --audit=false
12
13# Next, copy the source files using the user set
14# in the base image.
15COPY . ./
16
17# Install all dependencies and build the project.
18# Don't audit to speed up the installation.
19RUN npm run build
20
21# Create final image
22FROM apify/actor-node:22
23
24# Create and run as a non-root user.
25RUN adduser -h /home/apify -D apify
26
27# Copy just package.json and package-lock.json
28# to speed up the build using Docker layer cache.
29COPY package*.json ./
30
31# Install NPM packages, skip optional and development dependencies to
32# keep the image small. Avoid logging too much and print the dependency
33# tree for debugging
34RUN npm --quiet set progress=false \
35    && npm install --omit=dev --omit=optional \
36    && echo "Installed NPM packages:" \
37    && (npm list --omit=dev --all || true) \
38    && echo "Node.js version:" \
39    && node --version \
40    && echo "NPM version:" \
41    && npm --version \
42    && rm -r ~/.npm
43
44# Copy built JS files from builder image
45COPY --chown=apify --from=builder /usr/src/app/dist ./dist
46
47# Next, copy the remaining files and directories with the source code.
48# Since we do this after NPM install, quick build will be really fast
49# for most source file changes.
50COPY --chown=apify . ./
51
52USER apify
53
54# Run the image.
55CMD npm run start:prod --silent

.actor/actor.json

1{
2	"actorSpecification": 1,
3	"name": "actor-mastra-mcp-agent",
4	"title": "Mastra MCP agent",
5	"description": "Mastra MCP agent",
6	"version": "0.0",
7	"buildTag": "latest",
8	"storages": {
9		"dataset": "./dataset_schema.json"
10	},
11	"meta": {
12		"templateId": "ts-mastraai"
13	},
14	"input": "./input_schema.json",
15	"dockerfile": "./Dockerfile"
16}

.actor/dataset_schema.json

1{
2  "actorSpecification": 1,
3  "views": {
4    "overview": {
5      "title": "Overview",
6      "transformation": {
7        "fields": ["query", "response"]
8      },
9      "display": {
10        "component": "table",
11        "properties": {
12          "query": {
13            "label": "Query",
14            "format": "text"
15          },
16          "response": {
17            "label": "Response",
18            "format": "text"
19          }
20        }
21      }
22    }
23  }
24}

.actor/input_schema.json

1{
2  "title": "Mastra Agent TypeScript",
3  "type": "object",
4  "schemaVersion": 1,
5  "properties": {
6    "query": {
7      "title": "Query",
8      "type": "string",
9      "description": "Query for the agent.",
10      "editor": "textfield",
11      "prefill": "Analyze the posts of the @openai and @googledeepmind and summarize me current trends in the AI.",
12      "default": "This is a fallback test query, do nothing and !!do not call any tools!!. If asked to generate structured response, create a dummy one without optional fields, and empty lists - keep it as minimal as possible."
13    },
14    "modelName": {
15      "title": "OpenAI model",
16      "type": "string",
17      "description": "The OpenAI model to use. Currently supported models are gpt-4o and gpt-4o-mini.",
18      "enum": [
19        "gpt-4o",
20        "gpt-4o-mini"
21      ],
22      "default": "gpt-4o-mini",
23      "prefill": "gpt-4o-mini"
24    },
25    "actorsIncluded": {
26      "title": "Actors included",
27      "type": "array",
28      "editor": "stringList",
29      "description": "List of Apify Actor names to be included in the agent. If empty, only MCP server default Actors will be used.",
30      "prefill": [
31          "clockworks/free-tiktok-scraper"
32       ],
33       "default": []
34    },
35    "debug": {
36      "title": "Debug",
37      "type": "boolean",
38      "description": "If enabled, Actor provides detailed information with tool calls and reasoning.",
39      "editor": "checkbox",
40      "default": false
41    }
42  },
43  "required": ["query", "modelName"]
44}

.actor/pay_per_event.json

1{
2    "actor-start": {
3        "eventTitle": "Price for Actor start",
4        "eventDescription": "Flat fee for starting an Actor run.",
5        "eventPriceUsd": 0.1
6    },
7    "task-completed": {
8        "eventTitle": "Price for completing the task",
9        "eventDescription": "Flat fee for completing the task.",
10        "eventPriceUsd": 0.4
11    }
12}

src/agents.ts

1import { openai } from '@ai-sdk/openai';
2import { Agent } from '@mastra/core/agent';
3
4export const createAgent = (modelName: string): Agent => new Agent({
5    name: 'Helpful Assistant Agent',
6    instructions: `You are a helpful assistant who aims to help users with their questions and tasks.
7    You provide clear, accurate information and guidance while maintaining a friendly and professional attitude.`,
8    model: openai(modelName),
9});

src/const.ts

1export const MCP_ACTOR_ID = process.env.MCP_ACTOR_ID || '1lSvMAaRcadrM1Vgv';
2export const MCP_SERVER_URL_BASE = process.env.MCP_SERVER_URL_BASE || 'https://actors-mcp-server.apify.actor';

src/main.ts

1// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/)
2import { Actor, log, LogLevel } from 'apify';
3import { createAgent } from './agents.js';
4import { createMCPClient, startMCPServer } from './mcp.js';
5import { getApifyToken, isMCPServerRunning } from './utils.js';
6
7// this is ESM project, and as such, it requires you to specify extensions in your relative imports
8// read more about this here: https://nodejs.org/docs/latest-v18.x/api/esm.html#mandatory-file-extensions
9// note that we need to use `.js` even when inside TS files
10// import { router } from './routes.js';
11
12// Actor input schema
13interface Input {
14    query: string;
15    modelName: string;
16    debug: boolean;
17    actorsIncluded: string[];
18}
19
20// The init() call configures the Actor for its environment. It's recommended to start every Actor with an init()
21await Actor.init();
22
23/**
24 * Actor code
25 */
26
27// Charge for Actor start
28await Actor.charge({ eventName: 'actor-start' });
29
30// Handle input
31const {
32    // The query default value is provided only for template testing purposes.
33    // You can remove it.
34    query,
35    modelName,
36    debug = false,
37    actorsIncluded = [],
38} = (await Actor.getInput()) as Input;
39if (!query) throw new Error('An agent query is required.');
40if (debug) log.setLevel(LogLevel.DEBUG);
41
42// Create MCP server
43const apifyToken = getApifyToken();
44const mcpClient = createMCPClient(apifyToken);
45try {
46    const mcpRunning = await isMCPServerRunning();
47    log.debug(`MCP running: ${mcpRunning}`);
48    if (!mcpRunning) {
49        await startMCPServer(apifyToken, actorsIncluded);
50        if (!(await isMCPServerRunning())) throw new Error('MCP server failed to start');
51    }
52    // Connect to MCP server
53    log.info('Connecting to MCP server...');
54    await mcpClient.connect();
55
56    // Gracefully handle process exits
57    process.on('exit', async () => {
58        await mcpClient.disconnect();
59    });
60    // Fetch tools
61    const tools = await mcpClient.tools();
62    log.debug(`Tools: ${JSON.stringify(tools)}`);
63
64    // Create the agent
65    const agent = createAgent(modelName);
66
67    log.info(`Querying the agent with the following query: ${query}`);
68
69    // Query the agent and get the response
70    const response = await agent.generate(query, {
71        toolsets: {
72            apify: tools,
73        },
74    });
75
76    log.info(`Agent response: ${response.text}`);
77    log.info(`Tokens used total: ${response.usage.totalTokens}`);
78    log.info(`Prompt tokens used: ${response.usage.promptTokens}`);
79    log.info(`Completion tokens used: ${response.usage.completionTokens}`);
80
81    // Charge for the task completion
82    log.info('Charging for task completion...');
83    await Actor.charge({ eventName: 'task-completed' });
84
85    // Push results into the dataset
86    log.info('Pushing results into the dataset...');
87    await Actor.pushData({
88        query,
89        response: response.text,
90    });
91} catch (error) {
92    log.error(
93        `Actor failed with error: ${error instanceof Error ? error.stack : error}`,
94    );
95    await Actor.fail({ statusMessage: 'Actor failed with an error, see logs' });
96} finally {
97    // Always disconnect when done
98    await mcpClient.disconnect();
99}
100
101// Gracefully exit the Actor process. It's recommended to quit all Actors with an exit()
102// do not call process.exit() to wait for async operations to complete
103await Actor.exit({ exit: false });

src/mcp.ts

1import { MastraMCPClient } from '@mastra/mcp';
2import { log } from 'apify';
3import { MCP_SERVER_URL_BASE } from './const.js';
4
5/**
6 * Starts the MCP server with optional actor specification
7 * @param {string} apifyToken - The Apify API token for authentication
8 * @param {string[]} [actors] - Optional array of Actor names to be included in the server
9 * @returns {Promise<void>}
10 */
11export async function startMCPServer (
12    apifyToken: string,
13    actors?: string[],
14): Promise<void> {
15    log.info('Starting MCP server...');
16    const url = `${MCP_SERVER_URL_BASE}?token=${apifyToken}${actors && actors.length > 0 ? `&actors=${actors.join(',')}` : ''}`;
17    try {
18        const response = await fetch(url);
19        if (!response.ok) throw new Error(`MCP server start failed: ${response.status}`);
20    } catch (error) {
21        throw new Error(
22            `MCP server start error: ${error instanceof Error ? error.message : 'Unknown'}`,
23        );
24    }
25}
26
27/**
28 * Creates an MCP client instance
29 * @param {string} apifyToken - The Apify API token for authentication
30 * @returns {MastraMCPClient} MCP client instance
31 */
32export function createMCPClient (apifyToken: string): MastraMCPClient {
33    return new MastraMCPClient({
34        name: 'apify-client',
35        server: {
36            url: new URL(`${MCP_SERVER_URL_BASE}/sse?token=${apifyToken}`),
37            requestInit: {
38                headers: {
39                    Authorization: `Bearer ${apifyToken}`,
40                },
41            },
42        },
43    });
44}

src/types.ts

1export interface IToolSet {
2    [key: string]: unknown;
3}

src/utils.ts

1import { ApifyClient } from 'apify';
2import { MCP_ACTOR_ID } from './const.js';
3
4export function getApifyToken (): string {
5    if (!process.env.APIFY_TOKEN) {
6        throw new Error('APIFY_TOKEN environment variable must be set');
7    }
8    return process.env.APIFY_TOKEN;
9}
10
11export async function isMCPServerRunning (): Promise<boolean> {
12    const token = getApifyToken();
13    const apifyClient = new ApifyClient({ token });
14
15    const lastRun = await apifyClient.actor(MCP_ACTOR_ID).lastRun().get();
16    return lastRun?.status === 'RUNNING';
17}

.github/workflows/deploy_actor.yml

1name: Deploy Actor to Apify
2
3on:
4  push:
5    branches:
6      - main
7
8jobs:
9  deploy-to-apify:
10    runs-on: ubuntu-latest
11
12    steps:
13      - name: Checkout sources
14        uses: actions/checkout@v4
15
16      - name: Set up Node.js
17        uses: actions/setup-node@v4
18        with:
19          node-version: 22
20
21      - name: Push to Apify
22        uses: apify/push-actor-action@master
23        with:
24          token: ${{ secrets.APIFY_TOKEN }}