ResilientDB MCP Server

ResilientDB MCP Server

The ResilientDB MCP server bridges large language models with a high‑performance blockchain database, allowing AI assistants to perform persistent read and write operations directly from their conversation context. By exposing ResilientDB’s key‑value store through the Model Context Protocol, developers can give their assistants the ability to store and retrieve structured data on a tamper‑proof ledger without needing custom database drivers or manual integration.

This server listens on standard input/output and registers two lightweight tools—set and get—that map cleanly onto the underlying ResilientDB API. The set tool accepts a key and a string value, writing them to the blockchain with full cryptographic integrity guarantees. The get tool retrieves the value associated with a given key, returning it in a format that can be directly injected into subsequent model prompts. Because the operations are atomic and immutable, developers can trust that data written by an assistant will never be altered or lost, which is essential for audit trails, financial contracts, or any scenario where data provenance matters.

Key features include:

• Zero‑code integration: The server exposes a minimal set of tools, so adding it to an MCP‑enabled client requires only a single JSON entry.
• Blockchain durability: All writes are recorded on ResilientDB’s distributed ledger, providing tamper‑resistant storage.
• Synchronous tool calls: LLMs can invoke the tools in real time, receiving immediate responses that can be used to condition further reasoning or actions.
• Scalable architecture: Running the server in Docker means it can be deployed alongside other MCP services or scaled horizontally as needed.

Typical use cases are plentiful. A financial chatbot might store transaction metadata on ResilientDB to guarantee compliance, while a supply‑chain assistant could record shipment checkpoints in an immutable ledger. In research settings, scientists can use the server to persist experiment parameters and results, ensuring reproducibility. Any scenario that benefits from a combination of conversational AI and secure, auditable data storage will find this MCP server valuable.

Integrating ResilientDB into an AI workflow is straightforward: the assistant calls set to persist a new record, then uses get to retrieve it later—perhaps after some user‑driven filtering or transformation. Because the tools are part of the MCP specification, they can be combined with other servers (e.g., a database server for relational data or an API server for external services) to create rich, multimodal applications that leverage the strengths of each backend. The ResilientDB MCP server thus provides a powerful, developer‑friendly conduit between conversational AI and blockchain‑based persistence.