"How to deploy Solana applications" matching MCP servers:

A Model Context Protocol server enabling AI agents to interact with the Solana blockchain for DeFi operations like checking balances, transferring tokens, executing swaps, and fetching price data.

MCP server giving AI agents access to Solana blockchain data. 7 tools: wallet balances, transaction history, token prices (Jupiter + CoinGecko), token metadata, DeFi yields (Raydium + Orca), and token safety checks (RugCheck scores, holder concentration, insider detection).

Provides comprehensive analytics and insights for Solana wallets and their DeFi activities, including transaction tracking, DeFi position monitoring, risk profiling, and strategy recommendations.

AgentShare delivers structured product search and pricing signals for AI agents over REST and MCP (Streamable HTTP). Responses include freshness & coverage metadata so agents can reason about data recency. API keys secure billed endpoints; public discovery at /agent.json and /mcp.json. Currently integrates connected marketplaces and affiliate feeds – roadmap expands to global e-commerce (AliExpre

Live liquidity-pool scores for Solana + EVM: Enter/Hold/Exit verdicts and a composite 0-100 Wealthville Score, backed by a public, immutable track record that includes misses. Read-only, free, no key required. Data product, not financial advice.

Real-time Solana token risk scoring, momentum signals, and graduation alerts via MCP. Free tier with 4 tools (no auth), PRO tier with 6 tools + batch analysis ($0.01/call via x402).

Solana KOL trading intelligence and deployer analytics. Query real-time trades from 946 tracked KOL wallets, convergence signals, PnL leaderboards, and elite Pump.fun deployer alerts — paid per request with USDC via x402.

Real-time Solana wallet health analysis platform and top-notch dev tool. Helps people and agents to recover their SOLs from burner and old wallets super securely. Features a complete trustless recovery flow natively via MCP - https://solhunt.dev/mcp

Enables users to query IPVA (vehicle property tax) data from the official SEFAZ TO source via a read-only MCP tool.

AI-powered expense tracking MCP server that connects LLM clients to PostgreSQL for natural language expense management.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log

Enables querying SINTEGRA TO (state tax information) through a read-only MCP server, using natural language.

Enables MCP clients to automate the complete SAP Business One sales cycle, from quotations and orders through deliveries, invoicing, incoming payments, and collections via Service Layer.

Provides comprehensive analytics for Solana wallets, enabling real-time portfolio insights, cross-protocol DeFi position monitoring, behavioral analytics, and AI-powered investment strategy recommendations across the Solana ecosystem.

A simple MCP server that exposes stock price lookup tools, demonstrating how to set up MCP from scratch with Ollama.

Solana Whale Tracker & Copy Trading

Enables AI assistants to interact with the x402 payment protocol on Solana, allowing discovery and consumption of x402-enabled services, USDC payment management, and access to Solana development resources.

12 MCP tools for DeFi risk & compliance on Solana

Enables authenticated access to Amazon India SP-API commerce intelligence and controlled operations, including orders, finances, listings, pricing, reports, sales/traffic metrics, and profit analysis. It also supports gated Amazon mutations through preview, approval, and execution workflows with audit logging.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.