What types of token analysis does this server perform?

It performs deep token analysis including smart contract auditing, holder distribution analysis, ownership concentration metrics, and risk scoring based on on-chain data.

Can this server detect potential rug pulls or scams?

The server provides risk metrics and contract analysis that can flag common red flags such as concentrated ownership, suspicious contract functions, or low liquidity. However, no automated tool can guarantee scam detection.

Which blockchains does this server support?

The supported blockchains depend on the server's implementation. Check the repository documentation for the list of supported networks and token standards.

Token Analyzer MCP | CLI Trader

Token Analyzer MCP is an MCP server by Charged Particles that provides AI agents with deep token analysis capabilities. It exposes structured tools for performing smart contract audits, analyzing holder distributions, evaluating ownership concentration, and calculating risk metrics through the Model Context Protocol. This allows MCP-compatible clients to conduct thorough token due diligence within agent workflows.

The server goes beyond basic price and market data to examine the structural characteristics of tokens at the contract and holder level. Agents can analyze smart contract code for potential risks, review holder distribution patterns to identify concentration risks, check liquidity depth, and assess overall token risk profiles. These capabilities are particularly valuable when evaluating newer or less-established tokens where due diligence is critical before considering any exposure.

Setup involves configuring the server and connecting it to an MCP-compatible client. The deep analysis capabilities make this server a strong complement to price data and market analytics tools, adding a fundamental risk assessment layer to agent workflows. Users should understand that while automated analysis can surface many risk indicators, it cannot capture all possible risks — on-chain analysis should be one component of a broader due diligence process.