"Actual Budget" matching MCP servers:

MCP server that lets AI agents discover and pay for .agent services using USDC over x402, with daily budget controls and payment link creation.

Enables Alexa+ agents to purchase x402-protected digital resources while a human retains control over budget, approval, and wallet signing via MCP tools.

mcp server that allows to do actual actions related to solana first version adds knowledge about RPC methods and how to call them

Let your AI assistant pay for web content in USDC (x402 on Base) within a budget you set. Inside the budget it pays on its own; above it you are asked to confirm. The wallet key stays on your computer. For claude.ai and ChatGPT there is a remote server (https://agent.p2flux.com/mcp) where you approve each payment in your own browser wallet.

Bitcoin Lightning Network Wallet for AI Agents and the Command Line.

Enables AI agents to look up token risk verdicts and ERC20 facts, wallet snapshots, gas prices, transaction summaries, and Basename resolution on the Base network. Each call is paid in USDC over x402 from a dedicated wallet the user controls, with per-call price caps and a session budget.

MCP server with paid_fetch, list_merchants and budget_status tools: AI agents pay x402 APIs in USDC on Base inside an owner-signed, on-chain budget, so a prompt-injected agent can't overspend or pay an attacker.

Enables users to inspect Robinhood Chain assets and contracts, construct and review USDG/Stock Token exchange and data-signing decisions, and request approval for those actions in Robinhood Wallet. It maintains local records of received hashes and actual results while keeping keys and transaction authorization under user control.

Enables AI clients and agents to discover, analyze, and verify Uniswap v3 liquidity opportunities across supported networks from live indexed market data, returning a reviewable pool, fee-exposure range, required inventory, source evidence, and explicit refusal reasons. It also searches bounded pool universes, reads dated historical simulations, and checks a complete report's hash, budget, and expiry.

Lets AI agents run verification policies, inspect structured proof bundles, and submit high-trust proof-of-work results to Gibwork through MCP tools. Works additively alongside existing Gibwork MCP setups, with optional policy, budget, and audit layers via a gateway.