MCPSERV.CLUB
kukapay

Chainlist MCP

MCP Server

Fast, cached EVM chain info for AI agents

Stale(55)
2stars
2views
Updated Jun 13, 2025

About

Provides quick access to verified Ethereum Virtual Machine (EVM) blockchain data—RPC URLs, chain IDs, explorers, and native tokens—from Chainlist.org, with caching and regex search for efficient querying.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Chainlist MCP Server Overview

The Chainlist MCP server bridges the gap between AI assistants and reliable, up‑to‑date blockchain metadata. By exposing Chainlist.org’s curated EVM chain catalog through the Model Context Protocol, it gives Claude and other MCP‑compatible agents instant access to a wealth of information—chain IDs, RPC endpoints, explorers, native tokens and more—without the need to hit external APIs directly or maintain local caches. This eliminates latency, reduces API cost, and ensures that the assistant always serves verified data.

At its core, the server offers two straightforward tools. pulls a single chain’s full profile from the cached Chainlist dataset, delivering a neatly formatted Markdown table that lists every RPC endpoint and explorer. performs a case‑insensitive, regex‑based search across chain names and identifiers, returning up to a configurable limit of matches. Both tools return human‑readable Markdown, making the responses ready for direct inclusion in documentation or chat transcripts.

Developers find this server invaluable when building AI‑driven blockchain workflows. For example, an assistant can quickly validate a user’s chain ID before proposing deployment scripts, or it can enumerate all chains that support a particular feature for comparative analysis. Because the data is cached locally, repeated queries incur negligible overhead—ideal for interactive sessions where latency matters. The Markdown output also allows the assistant to embed rich tables in its replies, improving clarity for end users.

Integration is simple: an MCP client or the MCP Inspector can request either tool, receive a Markdown payload, and then pass that payload to downstream processes or display it directly. The server’s design encourages composability; a chain lookup can feed into a transaction‑monitoring tool, or the keyword search can seed a list of chains for which an assistant generates tailored smart‑contract templates. In this way, Chainlist MCP becomes a foundational building block for any AI system that needs reliable blockchain context.

What sets this server apart is its focus on speed, reliability, and readability. By caching Chainlist data once per deployment, it avoids repeated network calls while staying current with the source. Its flexible search logic and Markdown‑centric responses make it both developer‑friendly and user‑friendly, ensuring that the assistant can deliver precise chain information in a format that is immediately actionable.