Penumbra MCP Server is an MCP server that provides tools for interacting with the Penumbra blockchain. It enables privacy-preserving interactions with core features like transaction queries, validator set information, DEX state, and governance proposals.
Penumbra MCP Server offers a privacy-focused solution for interacting with the Penumbra blockchain. It allows users to query transactions, view chain status, access DEX data, and manage governance proposals while maintaining privacy through shielded transactions and private operations.
Developers, blockchain enthusiasts, and organizations looking to interact with the Penumbra blockchain in a privacy-preserving manner can benefit from this server. It also supports integration with tools like Claude Desktop for streamlined blockchain interaction.
Penumbra MCP Server can be installed locally via npm or yarn. It requires configuration with environment variables and can be integrated into applications like Claude Desktop for enhanced functionality.
The initial commit for Penumbra MCP Server, including its implementation, was made available as part of its source code release by the developer 'bmorphism'.
You can install Penumbra MCP Server using npm: `npm install @timeheater/penumbra-mcp` or yarn: `yarn add @timeheater/penumbra-mcp`.
Planned features include transaction submission, private staking operations, DEX trading (sealed-bid batch auctions), private governance voting, and liquidity position management.
To integrate with Claude Desktop, add the server configuration to your `claude_desktop_config.json` file, specifying the path to the server and necessary environment variables.
Key environment variables include `PENUMBRA_NODE_URL`, `PENUMBRA_NETWORK`, `PENUMBRA_CHAIN_ID`, `PENUMBRA_BLOCK_TIME`, and others related to DEX, governance, and node configuration.
Penumbra MCP Server is licensed under the ISC license.
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.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.