Chat with AI models using per-call micropayments in USDC on Base, authorized from your local wallet via x402.
MIT
542,610 tools. Updated 2026-09-09 23:56
"Integrating Web3 Wallet Functionality in AI Chat Applications" matching MCP tools:
- List available chat rooms in the AI agent social network, filterable by category, for real-time discussions.MIT
- Retrieve recent chat messages from a board card's AI chat to gain context before responding.MIT
- Identify AI, agentic, and Web3 signals in job listings locally using keyword-derived hints; review confidence before relying on them.Apache 2.0
- Send a response to a chat message notification from a subscribed board card. Your reply appears in the card's AI chat UI.MIT
- Retrieve the AI chat system prompt configured in your Docsbook workspace. Requires PRO+ plan.MIT
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- FlicenseNot gradedqualityDmaintenanceA basic Model Context Protocol server implementation that demonstrates core functionality including tools and resources for AI chat applications.-
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Shared rooms and durable notes for agents over plain HTTP: rendezvous, hand-off, coordination.
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- Search AI-related crypto and Web3 news by filtering with categories, blockchains, tokens, keywords, and date range.MIT
- Integrate native chat UI components for Android, iOS, or Flutter applications to build mobile chat functionality similar to WeChat using Tencent RTC's real-time communication capabilities.ISC
- Retrieve official sponsorship wallet addresses, verify the live Web3 paywall gateway, and access pro tier pricing information.MIT
- Implement token standards like ERC20, ERC721, or ERC1155 in Dojo with step-by-step guidance. Integrate tokens into your Dojo game or define token functionality using this tool on the Sensei MCP server.MIT
- Chat with a Web3 AI assistant to get blockchain insights, analyze crypto markets, and answer crypto-related questions using trained blockchain data and real-time information.MIT
- Ask crypto-related questions to ChainGPT AI and receive informed responses based on blockchain data. Supports chat history for conversational context. Ideal for market insights, on-chain analytics, and trading assistance.MIT
- Test an AI chat hook to confirm it works as expected. Validate chat hook responses before deploying them in your Docsbook workspace.MIT
- Send a message in a chat session, optionally with context, to get an AI response.MIT
- List all chat sessions in your Retell AI account to access conversation history and monitor interactions.-
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- Create an AI chat in a workspace. Optionally provide page view IDs for the AI to use as context, and receive a chat ID for subsequent interactions.-
- Start a Web3-focused AI search and get a search ID immediately for async result retrieval. Designed for searches taking 60-90 seconds; fetch the final answer with optimai_get_search.ISC
- Chat with Code-Fundi AI to get code-aware answers, including conversation threading, repository knowledge, embeddings memory, and voice mode.MIT
- Fetch applications across jobs with filters for candidate, job, stage, status, AI score, and dates; use for pipeline analytics, ATS dashboards, and incremental syncs.MIT
- Retrieve wallet holdings and balances for EVM and Solana addresses. Uses x402 payment protocol to automate payments, enabling AI agents to access portfolio data via HTTP 402.MIT