OpenSVM Solana MCP vs Sol MCP

Overview

OpenSVM Solana MCP OpenSVM Solana MCP Server is a Model Context Protocol server that exposes 73+ Solana RPC methods to AI assistants. By wrapping the raw RPC surface — accounts, tokens, transactions, staking, system inf... Sol MCP Sol MCP is a Model Context Protocol (MCP) server that exposes real-time Solana token intelligence to AI agents and MCP-compatible clients. Instead of a dashboard, it delivers structured data — risk sc...

Community Ratings

Sol MCP is rated higher by the MadeOnSol community with 4.0/5 stars across 2 reviews, compared to 0.0/5 for OpenSVM Solana MCP (0 reviews). That said, ratings only tell part of the story — what matters most is which tool fits your specific workflow.

Pricing & Value

OpenSVM Solana MCP uses a free model, while Sol MCP is freemium. OpenSVM Solana MCP has the edge for users who want a no-cost solution, though Sol MCP's paid features may justify the investment for power users.

Key Features

OpenSVM Solana MCP offers 5 features including Exposes 73+ Solana RPC methods to AI assistants via MCP, Connection pooling for efficient RPC connection management, Response caching to reduce redundant calls, and 2 more. Sol MCP counters with 5 features including MCP server exposing Solana token intelligence as agent-callable tools, 0-100 risk score with rug detection, Momentum signals from STRONG_BUY to STRONG_SELL, and 2 more. The right choice depends on which specific features matter for your use case — check the individual review pages for full breakdowns.

Reliability & Health

We monitor both tools around the clock for uptime, SSL validity, and response times. OpenSVM Solana MCP currently has a healthy health status with 100.0% uptime over the last 30 days. Sol MCP is rated healthy with 100.0% uptime. For any tool you trust with your funds, trades, or yield, uptime and speed are non-negotiable.

Strengths

OpenSVM Solana MCP's key strengths include broadest raw rpc coverage among solana mcp servers, performance features like pooling and caching built in, open-source and integrable with any mcp-compatible ai client.