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Coreon MCP (Beta) is now LIVE
Your AI Execution Engine: prompts → multi‑step ToolCall execution → real results
▸ CLI: run your own private MCP
▸ API: plug into any agent stack
▸ Telegram: 24/7 Web3 intel
→ coreon.pro
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Coreon
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Coreon
@CoreonMCP
Natural Language → Tool Functions Auto-executed via LLMs. Structured. Traceable. Building most efficient ai agent eco on @BNBCHAIN
- Want your agent to live just inside Telegram? Check out this demo and get your own #CoreonMCP agent live in real time.
00:00 - AutoGPT walks. ChatGPT Plugins talk. MCP executes. That’s the difference between running code and running systems.
- GM. The T-o-o-l-C-h-a-i-n is calling 🧑🔧
- Web3 shouldn’t require 6 clicks and a PhD in RPCs. Do you agree?
- Every tool in #MCP follows a schema: name: get_token_price params: symbol: string chain: string output: price: float That’s how agents stay safe - they can’t call what they don’t define. Programmable ≠ unpredictable
- Most agents plan. Few agents complete. Coreon MCP was built for both. From intent parsing to verified completion - it keeps every step structured, logged, and reproducible. Because “it worked once” isn’t good enough.
- Contracts ✅ Wallet integration ✅ Both now running in prod. The #CoreonMCP stack keeps expanding - from intent to on-chain execution.
00:00 - 🤝 CoreonMCP x Port3 We’re excited to partner with @Port3Network to bring AI-powered social intelligence directly into actionable Web3 workflows. @Port3Network provides a robust AI-powered data layer, delivering real-time social intelligence and enabling cross-chain AI agent
- In #MCP, every tool is a building block. Readable for humans. Executable for machines. That’s structure.
- Launch Update: Coreon MCP is now live on @BNBCHAIN #CoreonMCP is the AI Execution Engine purpose-built for Web3, and now it’s powering the BNB ecosystem. With MCP, anyone can move from natural language → ToolCall → on-chain execution without worrying about wallet setup, RPC
- Most AI agents try to execute. Few can prove they did. #CoreonMCP isn’t about “making agents smarter.” It’s about making their actions structured, logged, and verifiable.
- “Can my agent use multiple LLMs?” Yes! ✅ GPT ✅ Claude Coreon MCP now runs across models - natural language → multi-step ToolCalls → real, verifiable Web3 execution. All core modules (CLI/Server API/Telegram Bot) are live. Check us out on GitHub: github.com/CoreonMcp/Core…
00:00 - LLMs are smart. But they don’t do. Coreon MCP = execution infrastructure for AI × Web3. Structured planning, typed toolcalls, verifiable logs. From messy prompts to measurable outcomes.
