"Web3.js" matching MCP servers:

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

Chrome browser JS reverse engineering MCP tool for CTF/Web security, enabling dynamic analysis and restoration of login encryption logic.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

Enables AI coding assistants to debug and analyze JavaScript code in web pages through breakpoint debugging, function hooking, network analysis, and runtime inspection of scripts including minified code.

The js hook toolkit that all you need

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Deterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.

A self-evolving JavaScript reverse engineering workflow MCP server that automates deobfuscation through evolutionary algorithms, integrating MemOS, GitNexus, and Stagehand.

An MCP server for evaluating C# project architecture quality using the Modularity Maturity Index (MMI) framework. It provides tools for detecting layering violations, circular dependencies, and encapsulation issues with interactive D3.js visualizations.

Indexes a Python/JS/TS repository into a local SQLite knowledge graph so agents can trace callers, callees, imports, subclasses and covering tests, measure impact radius, rank diff risk, and summarize architecture without grepping files. Exposes these queries as MCP tools alongside an equivalent CLI, with no daemon, embeddings, or network access.

Agentic code-quality CLI and stdio MCP server that runs real Python and JS/TS quality engines (Ruff, pytest, ESLint, Prettier, Vitest, etc.) for linting, testing, and reviewing code.

MCP server for SAP CAP that enables AI-assisted development by searching CDS model definitions and CAP documentation.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Enables agents to run static heuristic scans over a repository path via stdio, surfacing review candidates with file:line evidence for web3 auth and payment vulnerability patterns. Results can be used as CI-style gates or triage input without any dataflow analysis or external dependencies.

An MCP server that provides TypeScript 7 native language server capabilities (go to definition, find references, hover types, diagnostics) to coding agents, using the Go-based tsc compiler for fast and accurate semantic analysis.

Provides JavaScript reverse engineering capabilities including static analysis, dynamic execution, and bypassing anti-bot protections like Cloudflare 5-second challenge.

A standalone MCP server that provides TypeScript type inference and hover information using tsgo, enabling AI agents to get type details, diagnostics, references, and more without needing an editor.

An MCP server that wraps terraform-ls to provide Terraform language intelligence as MCP tools, enabling AI assistants to understand and navigate Terraform codebases.