Safe MCP Server

The Safe MCP Server bridges AI assistants and the Gnosis Safe ecosystem by exposing a lightweight, query‑oriented interface to the Safe Transaction API. Developers building conversational agents can now ask an LLM to fetch, inspect, or decode multisignature wallet activity without writing custom smart‑contract calls. This eliminates the need for manual API integration, authentication handling, and data parsing—tasks that would otherwise distract from higher‑level business logic.

At its core, the server offers three practical tools:

• getSafeTransactions – retrieves a paginated list of all transactions associated with any Safe address. The LLM can supply the address contextually, and the server returns a structured summary of each transaction, including status, nonce, and involved owners.
• getMultisigTransaction – looks up a single multisignature transaction by its hash, delivering detailed metadata such as required approvals, executed operations, and execution timestamps.
• decodeTransactionData – takes raw calldata and, optionally, a target contract address, returning human‑readable function names, parameters, and values. This is invaluable when an AI needs to explain the intent behind a transaction or validate its payload.

These capabilities are valuable because they transform opaque, low‑level blockchain data into consumable facts that an LLM can reason about. A developer could build a voice‑controlled dashboard where the assistant answers questions like “What pending approvals does this Safe have?” or “Show me the latest transaction to the treasury contract.” The server’s default configuration points to the mainnet Safe API, but developers can easily switch to testnets or private endpoints via an environment variable, enabling seamless testing and production deployment.

Integration into AI workflows is straightforward: the MCP server registers its tools as part of the Model Context Protocol, so any compliant client (e.g., Claude, OpenAI’s tools API) can invoke them during a conversation. The server handles authentication implicitly (no API keys required for the public endpoint) and returns JSON responses that the LLM can embed directly into its output. This tight coupling reduces round‑trip latency and removes the need for intermediate data pipelines.

Unique advantages of this server include its zero‑configuration nature—no API keys or credentials are required for the mainnet endpoint—and its focus on Safe wallets, a critical component of decentralized finance governance. By providing ready‑made, well‑typed tool calls, the server empowers developers to build sophisticated, trust‑worthy AI assistants that can interrogate and explain multisig activity in real time.