"Web3.js" matching MCP servers:

This server enables agents to author fancy-flow workflows headlessly on a TypeScript host, with the same tools as the PHP version.

Provides AI agents with powerful JavaScript/TypeScript code analysis and transformation capabilities using the tree-hugger-js library.

Enables AI assistants to assess the risk of crypto wallets, tokens, and smart contracts by providing read-only on-chain analysis, 0-100 risk scoring with explanations, fund tracing, and contract inspection before interaction.

Enables interaction with translation helps APIs through multiple interfaces (MCP, OpenAI, stdio, etc.) for fetching scripture, translation notes, and more via natural language.

An npx-compatible port of @Axiom's mcp-server-axiom

A GitHub MCP server enabling repository, issue, and pull request management through natural language, built on octokit.js and the MCP TypeScript SDK.

Enables creation and management of Framer plugins with web3 capabilities like wallet connections, contract interactions, and NFT displays.

Enables secure interaction with blockchain smart contracts across multiple chains, including ABI analysis, contract method invocation (view/nonpayable/payable), and local wallet management for Ethereum and Base networks.

Enable to request information from EVM chains

Access Global Fishing Watch data from any MCP-compatible AI assistant or terminal: search vessels, retrieve fishing activity and port events, look up marine regions, and compute aggregate statistics.

Model Context Protocol (MCP) server for Wiki.js with hierarchical documentation & Docker setup

An AI-native JavaScript reverse engineering MCP server for debugging, locating, saving, and replaying web page JavaScript behavior. Includes anti-detection mechanisms to handle strong anti-bot sites.

Ultra-fast, memory-efficient Rust implementation of the Filesystem MCP server with bounded IO, regex search, and optional terminal execution.

MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

MCP server that gives Claude live access to Major League Soccer data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.

Look up Polish companies from any AI assistant: registry data (KRS, REGON, CEIDG), VAT white list checks before payments, and financial statements of 4.4M businesses. Read-only tools backed by official public registers.

MCP server that searches the web, reads pages, and returns concise summaries with cited sources via the research_web and read_url tools.

Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.

Google Trends data: interest over time, by region, related queries, and trending now.