Web3 Research MCP

The Web3 Research MCP is a purpose‑built research engine that empowers AI assistants to perform deep, multi‑source investigations of cryptocurrency tokens. Instead of relying on a single data feed or an ad‑hoc web scrape, this server pulls structured information from leading crypto analytics platforms such as CoinGecko, CoinMarketCap, and DeFiLlama, while also aggregating news, social sentiment, and on‑chain metrics. The result is a unified, machine‑readable report that covers technical fundamentals, market data, and community perception—all within a single, well‑defined workflow.

For developers building AI‑powered research tools, the server offers a rich set of tools that map directly to common investigative steps. A create‑research‑plan tool scaffolds the outline of a study, ensuring that every token is examined through consistent lenses. The search and search‑source tools allow fine‑grained queries against specific platforms, while research‑with‑keywords lets the assistant target niche topics (e.g., “layer‑2 scalability” or “regulatory risk”). As data arrives, fetch‑content pulls raw pages or JSON feeds and stores them as resources that can be cited later, and update‑status tracks progress through defined sections such as “technical fundamentals” or “market sentiment.” Finally, list‑resources provides a quick inventory of everything that has been gathered.

The server’s prompt library—particularly the token‑research prompt—encapsulates the entire workflow into a single, high‑level instruction. When invoked, the AI assistant automatically generates a research plan, executes all necessary searches, aggregates findings, and produces a comprehensive report. This eliminates the need for developers to choreograph each step manually, reducing boilerplate and ensuring reproducibility.

In real‑world scenarios, the Web3 Research MCP is invaluable for portfolio managers needing rapid due diligence on emerging tokens, compliance teams verifying regulatory exposure, or content creators producing data‑driven articles. By keeping all research local and free of external API keys, it also sidesteps rate limits and privacy concerns that plague many public crypto APIs. The server’s structured status tracking means a single AI agent can pause, resume, or share progress with collaborators without losing context.

Overall, this MCP delivers a turnkey, extensible research pipeline that aligns perfectly with AI‑centric workflows. It turns raw data streams into actionable insights, while giving developers a clean, programmable interface to embed deep crypto research directly into conversational agents.