Generate a tokenized vault contract that issues fungible share tokens for an underlying asset, similar to ERC-4626. Returns the source code in a Markdown block.
AGPL 3.0
457,367 tools. Updated 2026-08-14 13:39
"Stellar" matching MCP tools:
- Generate a SEP-41 compatible fungible token contract, similar to ERC-20, and return its source code in a Markdown code block.AGPL 3.0
- Generate a SEP-41 compatible stablecoin contract using the Fungible Token Standard. Returns the contract's source code as a Markdown code block without writing to disk.AGPL 3.0
- Generate a governor contract for token-based on-chain governance, with configurable voting, quorum, and timelock. Returns contract source code in a Markdown block.AGPL 3.0
- Make a tokenized vault that issues Fungible Token shares for an underlying asset, similar to ERC-4626. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.Connector
- Make a fungible token per the Fungible Token Standard, compatible with SEP-41, similar to ERC-20. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.Connector
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables interaction with Stellar Classic and Soroban smart contracts, allowing users to manage accounts, process payments, and handle asset operations. It provides comprehensive tools for building, deploying, and retrieving the interfaces of smart contracts on the Stellar network.2318MIT
- Alicense-qualityBmaintenanceEnables agents to discover and execute Stellar ecosystem services and skills via a search tool and a sandboxed JavaScript execution tool, deployed on Cloudflare Workers.1Apache 2.0
Matching MCP Connectors
The OpenZeppelin Stellar Contracts MCP server generates secure smart contracts for the Stellar blockchain based on OpenZeppelin templates. It integrates with AI assistants to automatically enforce OpenZeppelin's security best practices, style rules, and standards at every prompt, enabling developers to create production-ready Fungible Token, Non-Fungible Token, and Stablecoin contracts through AI-driven workflows.
Read-only MCP server: verify credentials and browse escrows on the Stellar testnet contract.
- Make a stablecoin that uses Fungible Token Standard, compatible with SEP-41. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.Connector
- Make a governor contract for on-chain governance using token-based voting. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.Connector
- Generate a Stellar non-fungible token contract per SEP-50, with configurable features like minting, burning, and access control. Receive the source code as Markdown.AGPL 3.0
- Make a non-fungible token per the Non-Fungible Token Standard, compatible with SEP-50, similar to ERC-721. Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.Connector
- Discover on-chain Stellar agents using natural language queries. Get ranked results with capability and reputation signals.MIT
- Retrieve an agent card from Stellar agent-search by agent ID or handle, with optional verification probe.MIT
- Decode base64 Stellar transaction XDR into readable JSON format. View operations and parameters clearly.MIT
- Resolve any agent reference (id, handle, or owner address) to canonical identifiers: numeric id, stellar address, and CAIP-2 network.MIT
- Fund a Stellar testnet account with 10,000 testnet XLM via Friendbot by providing the account's public key.MIT
- Create a trustline for a non-native Stellar credit asset to enable an account to hold and transact it, returning the transaction hash.MIT
- Retrieve paginated transaction history for a Stellar account. Includes optional operation details and cursor-based pagination.MIT
- Deposit two assets into a Stellar automated market maker liquidity pool by setting maximum amounts and price range.MIT
- Generate a concise 3-5 sentence summary of a webpage or raw text using an LLM. Ideal for agents needing a quick, information-dense digest without running their own fetch or summarization.MIT
- Analyze sentiment of crypto assets or free text to generate trading signals and power news pipelines without running your own LLM.MIT