Anchor MCP

Anchor MCP is a ready‑to‑use Model Context Protocol (MCP) server designed specifically for Solana Anchor programs. It bridges the gap between large language models (LLMs) and on‑chain logic by exposing a set of tools, prompts, and resources that can be invoked directly from an AI assistant such as Claude. This eliminates the need for custom integration code and allows developers to leverage smart contract functionality without leaving their conversational workflow.

The core problem Anchor MCP solves is the context disconnect that often plagues AI‑driven blockchain development. Developers typically must switch between a code editor, command line tools, and a separate LLM interface to get insights or run tests. Anchor MCP consolidates these steps by turning the Anchor CLI into an MCP‑compliant server. Once enabled, the LLM can request actions like compiling a program, deploying to testnet, or querying on‑chain state, and the server will execute the corresponding Anchor commands and return results in a structured format.

Key capabilities include:

• Tool Exposure: Each Anchor command (e.g., , ) is registered as an MCP tool that the LLM can call with arguments.
• Prompt Management: The server lists predefined prompts that guide the LLM on how to interact with Anchor, ensuring consistent usage patterns.
• Logging and Diagnostics: MCP logs are easily accessible via standard OS log paths, enabling quick troubleshooting of tool invocations.
• CLI Integration: A simple flag () activates the server mode, making it trivial to start a local instance during development.

Typical use cases span from automated code review and security analysis to rapid prototyping of new contracts. For example, a developer can ask the AI assistant to “run a security check on my program” and receive a detailed report without manually executing the Anchor CLI. In continuous integration pipelines, the MCP server can be spun up as a container to provide on‑the‑fly analysis of pull requests, ensuring that every change passes the same AI‑guided checks before merging.

By integrating Anchor MCP into an LLM workflow, teams gain a powerful, standardized interface that reduces friction, enforces best practices, and accelerates the development cycle. Its open‑source nature means that additional tools can be added or existing ones customized, making it a flexible foundation for any project that needs to connect Solana smart contracts with conversational AI.