Solana Token Extractor avatar
Solana Token Extractor

Pricing

$2.00 / 1,000 results

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Solana Token Extractor

Solana Token Extractor

websift/solana-token-extractor

Developed by

Jacob

Maintained by Community

Retrieve comprehensive details about Solana tokens with the Solana Token Info API. Get token names, symbols, prices, supply, creation history, mint details, and creator addresses. Supports up to 10 tokens per request. Ideal for blockchain research, market analysis, and token tracking.

0.0 (0)

Pricing

$2.00 / 1,000 results

2

Monthly users

12

Runs succeeded

>99%

Last modified

16 days ago

You can access the Solana Token Extractor 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=websift/solana-token-extractor"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Solana Token Extractor via Model Context Protocol (MCP) server

MCP server lets you use Solana Token Extractor 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 Solana Token Extractor 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      "address": [
8            "EqeEBGHQhQy6SqeaJcnqAsNs3qaG19sdF89Xsarpump"
9      ]
10},
11    "name": "websift/solana-token-extractor"
12  }
13}'

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 Solana Token Extractor

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        "websift/solana-token-extractor"
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.

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$2.00