About
An MCP server that lets AI agents create bonding‑curve tokens, purchase them with SOL, and sell back to the Raydium Launchpad. It also uploads token metadata to IPFS through Pinata for decentralized storage.
Capabilities
Overview
Raydium LaunchLab MCP bridges the gap between conversational AI assistants and Solana’s Raydium Launchpad ecosystem. It empowers agents to programmatically create, buy, and sell tokens on the Raydium Launchpad (also called LaunchLab) without leaving the context of a natural‑language conversation. This is especially valuable for developers building automated investment bots, launchpad dashboards, or decentralized finance (DeFi) tools that need to interact with token sales in a seamless and reproducible way.
The server exposes three core tools: mint_token, buy_token, and sell_token. Each tool translates a human‑readable request into the precise on‑chain actions required by Raydium. For example, lets a user specify the token’s name, symbol, image, supply parameters, and fundraising target. It then creates a bonding‑curve token on the Launchpad and uploads the accompanying metadata to IPFS via Pinata, ensuring that every minted asset is fully decentralized. and perform the necessary swap instructions on the Raydium pool, handling slippage limits and providing transaction signatures for auditability.
Key capabilities include:
- Bonding‑curve token creation with configurable supply and fundraising targets, allowing rapid prototyping of new projects.
- IPFS integration for immutable storage of logos and metadata, which is critical for compliance and trust in the Solana ecosystem.
- Slippage control on purchases and sales, giving agents precise risk management.
- Transparent transaction reporting, returning signatures that can be cross‑checked on Solscan or other explorers.
Typical use cases span from automated launchpad participation—where an agent can buy a token immediately after minting—to portfolio management tools that automatically liquidate positions when certain price thresholds are met. In research environments, the MCP can be used to simulate launchpad dynamics or back‑test investment strategies against real on‑chain data. For product teams, embedding these tools into a chatbot or voice assistant lets end users execute token operations with minimal friction.
Integration is straightforward: an MCP‑compatible client (such as Claude or a custom AI workflow) simply calls the appropriate tool with the required parameters. The server handles all low‑level Solana RPC interactions, wallet signing (via a private key supplied in the environment), and IPFS uploads. Developers benefit from reduced boilerplate, consistent error handling, and the ability to combine these actions with other AI‑driven logic—like sentiment analysis or market forecasting—to create sophisticated, end‑to‑end automated workflows.
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