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Tutorial

How to Build a Solana MCP Server with Web Data Grounding

Pair a Solana MCP server with Scavio's web MCP for token research, Reddit sentiment, and news grounding inside a trading agent.

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Solana MCP servers expose on-chain data to LLM agents. Alone they miss the narrative side: community sentiment, token explainers, breaking news. This tutorial pairs a Solana MCP with Scavio's web MCP so the agent has both sides in the same session.

Prerequisites

  • Claude Desktop or a compatible MCP client
  • A Solana MCP server (e.g., solana-mcp)
  • A Scavio API key

Walkthrough

Step 1: Install the Solana MCP

Community servers expose RPC, token metadata, and wallet lookup.

Bash
npm install -g solana-mcp

Step 2: Register both MCPs in Claude Desktop

Both become tool classes in the same session.

JSON
{
  "mcpServers": {
    "solana": { "command": "solana-mcp", "env": { "SOLANA_RPC_URL": "..." } },
    "scavio": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.scavio.dev/mcp"],
      "env": { "SCAVIO_API_KEY": "${SCAVIO_API_KEY}" }
    }
  }
}

Step 3: Test cross-tool reasoning

Ask a question that requires both sides.

Text
> Look up token WIF on Solana and tell me the recent r/solana sentiment plus any breaking news.

Step 4: Build a trading-context prompt

Claude should call Solana for on-chain, Scavio for narrative.

Text
SYSTEM = '''You are a Solana trading research agent.
- Use solana_* tools for on-chain data (balances, holders, transactions).
- Use scavio_* tools for sentiment (Reddit), news (Google SERP), and explainers (YouTube).
- Cite every claim.'''

Step 5: Add a fast-decision loop

Use Scavio's fast search tier to stay under 1 second per call.

Text
# Scavio fast tier: pass fast: true in the tool call
# Latency target: under 1s round trip

Python Example

Python
# MCP config-first; Python parity for web-side data:
import os, requests
API_KEY = os.environ['SCAVIO_API_KEY']
r = requests.post('https://api.scavio.dev/api/v1/search',
    headers={'x-api-key': API_KEY},
    json={'query': 'WIF solana sentiment', 'platform': 'reddit'})
print(r.json().get('posts', [])[:5])

JavaScript Example

JavaScript
const API_KEY = process.env.SCAVIO_API_KEY;
const r = await fetch('https://api.scavio.dev/api/v1/search', {
  method: 'POST',
  headers: { 'x-api-key': API_KEY, 'Content-Type': 'application/json' },
  body: JSON.stringify({ query: 'WIF solana sentiment', platform: 'reddit' })
});
console.log(((await r.json()).posts || []).slice(0, 5));

Expected Output

JSON
Agent answers blend on-chain data (from Solana MCP) with narrative context (from Scavio). Useful for holding decisions without switching UIs.

Related Tutorials

  • How to Give Hermes Agent Web Search Access
  • How to Add Web Search to Claude Code via Zaiglm Config
  • How to Build a Coding Agent with Realtime GitHub Issues and Docs Search

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Claude Desktop or a compatible MCP client. A Solana MCP server (e.g., solana-mcp). A Scavio API key. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

Use Case

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Best Of

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MCP Custom Search Server

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Best Of

Best MCP Search Servers: Community Edition, May 2026

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Comparison

Scavio MCP vs Built-in MCP web_search

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Solution

Give AI Agents Multi-Source Search via MCP

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Start Building

Pair a Solana MCP server with Scavio's web MCP for token research, Reddit sentiment, and news grounding inside a trading agent.

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