About
A Rust‑based MCP server that connects to the Solvitor API, enabling developers to decode and retrieve Interface Definition Language (IDL) files from closed‑source Solana smart contracts.
Capabilities
Solvitor MCP Server – A Rust‑Based Bridge to the Solvitor API
The Solvitor MCP server addresses a pressing need in the Solana ecosystem: extracting Interface Definition Language (IDL) files from closed‑source programs. Developers often encounter smart contracts whose source code is unavailable, yet they require a precise description of the contract’s interface to build wallets, dashboards, or integration tools. Solvitor solves this by reverse‑engineering programs and returning an IDL that captures the program’s public methods, accounts, and data types. The MCP server exposes this capability to AI assistants, enabling them to query Solvitor directly from within a conversational workflow.
At its core, the server offers a single tool named . When invoked, it accepts a Solana program ID (a Base58‑encoded address) and an optional RPC endpoint URL. The tool communicates with the Solvitor API, retrieves the decompiled IDL, and returns a structured JSON object containing metadata such as program name, version, and the type of framework used (“anchor” or “native”). This abstraction allows AI assistants to seamlessly request detailed contract information without handling the intricacies of RPC communication or API authentication.
For developers building AI‑powered tooling, this MCP server brings several practical advantages:
- Rapid prototyping: By automating IDL extraction, developers can quickly generate type‑safe bindings or documentation for any on‑chain program.
- Audit and compliance: Security analysts can obtain a contract’s interface to perform static analysis or generate threat models, even when the source code is hidden.
- Cross‑chain integration: Tools that support multiple blockchains can use the same conversational interface to fetch Solana program details, simplifying UI/UX design.
Integration with AI workflows is straightforward. Once the MCP server is registered in an assistant’s configuration, the assistant can invoke as a tool call. The assistant can then embed the returned IDL in responses, use it to generate code snippets, or pass it to downstream tools that require type information. Because the server handles API keys and RPC endpoints internally, developers can focus on higher‑level logic rather than authentication plumbing.
Unique to Solvitor’s MCP implementation is its Rust foundation, which guarantees low latency and high reliability—critical for production AI services that demand consistent response times. The server also defaults to the mainnet‑beta RPC, reducing configuration overhead for most use cases. Together, these design choices make the Solvitor MCP server a powerful addition to any developer’s AI toolkit, bridging the gap between closed‑source Solana programs and intelligent tooling.
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