Solana signal intelligence for your own AI agents.

The Model Context Protocol is an open standard that lets AI clients — Claude, Cursor, and a growing list of others — call external tools. An MCP server publishes a set of tools with typed schemas, and any compatible client can discover and use them without a custom integration.

Most Solana MCP servers built so far are execution wrappers: check a balance, send SOL, swap through Jupiter, snipe a launch. Several of those already exist and work fine. Adding another would be redundant, and we are not going to claim a category-first position that is plainly not available.

The gap is intelligence. What no existing Solana MCP exposes is derived, historical context — which signal families actually performed and over what sample, how a wallet has behaved across many tokens, where a token sits in its lifecycle, which narrative cluster a launch belongs to. ARCHR already computes all of that internally to run the bot. That is the part worth publishing.

The design constraint is the boundary between research and execution. Agent frameworks chain tools aggressively, and without a hard confirmation step a research workflow quietly becomes an execution workflow. So the first release will be read-only, and any execution tool added later will require explicit confirmation with the size, token, and wallet spelled out — not an inferred yes.