Post / Reply Tweet  API| Twitter | 2025 | $10/m avatar

Post / Reply Tweet API| Twitter | 2025 | $10/m

Try for free

30 minutes trial then $15.00/month - No credit card required now

Go to Store
Post / Reply Tweet  API| Twitter | 2025 | $10/m

Post / Reply Tweet API| Twitter | 2025 | $10/m

fastcrawler/post-reply-tweet-api-twitter-2025-10-m
Try for free

30 minutes trial then $15.00/month - No credit card required now

Post / Reply Tweet lets you automate tweet posting without needing Twitter API access or a developer account. For just $10/month, enjoy unlimited usage with no restrictions.

Developer
Maintained by Community

Actor Metrics

  • 16 monthly users

  • No reviews yet

  • 3 bookmarks

  • 95% runs succeeded

  • 1.6 hours response time

  • Created in Dec 2024

  • Modified 5 days ago

You can access the Post / Reply Tweet API| Twitter | 2025 | $10/m programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=fastcrawler/post-reply-tweet-api-twitter-2025-10-m"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Post / Reply Tweet API| Twitter | 2025 | $10/m via Model Context Protocol (MCP) server

MCP server lets you use Post / Reply Tweet API| Twitter | 2025 | $10/m within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Post / Reply Tweet API| Twitter | 2025 | $10/m Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "cookie": "please input your twitter cookie",
8      "tweetContent": "please input tweet content"
9},
10    "name": "fastcrawler/post-reply-tweet-api-twitter-2025-10-m"
11  }
12}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Post / Reply Tweet API| Twitter | 2025 | $10/m

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "fastcrawler/post-reply-tweet-api-twitter-2025-10-m"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.