Starknet MCP Server is a Model Context Protocol (MCP) server designed to expose various Starknet RPC methods through the MCP interface. It enables interaction with Starknet's blockchain by providing access to methods like retrieving block information, transaction details, state updates, and more.
The Starknet MCP Server bridges the gap between Starknet's RPC capabilities and tools like Claude Desktop that utilize MCP. It allows users to query real-time data about Starknet's blockchain state, such as block hashes, transaction statuses, and contract storage, while integrating seamlessly into an MCP-supported environment.
The repository is associated with 'milancermak', likely indicating Milan Cermak as the developer or maintainer of this project. The codebase is open-source, allowing community contributions and usage under its licensing terms.
This tool is intended for integration into environments utilizing the Model Context Protocol (MCP), particularly within applications like Claude Desktop. It requires configuration in the `claude_desktop_config.json` file and works with Starknet's RPC endpoints.
The initial release version mentioned in the repository is v0.1.0, indicated by commit messages such as 'feat: v0.1.0'. This suggests it was introduced at that version milestone.
The server supports read-only methods like `starknet_getBlockWithTxHashes`, `starknet_getTransactionByHash`, `starknet_call`, and others. Write methods are not yet supported.
To install, clone the repository, ensure Bun is installed, and run `bun install` to set up dependencies. Update your `claude_desktop_config.json` file with the appropriate command and RPC URL for Starknet.
Yes, certain methods like `starknet_estimateFee` and `starknet_estimateMessageFee` are not yet supported. Additionally, some quirks exist around input schemas due to how Claude handles string inputs over other types.
When Claude Desktop uses an MCP method from Starknet MCP Server, it will prompt the user for permission, showing the specific method being called along with its inputs and outputs.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
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