"Merchant Category Code (MCC) data lookup" matching MCP servers:

Spawns and manages multiple Minecraft Console Client bots, enabling an MCP client like Claude to control each bot individually on offline-mode servers.

A demonstration MCP server that exposes a mock merchant catalog with tools for product search, availability checking, and order placement, along with a catalog resource and gift-finder prompt.

Enables full-text search for code declarations across multiple languages using SQLite FTS5 and universal ctags, allowing users to search for functions, classes, and other code elements.

Resolves messy financial institution records against canonical regulatory identifiers from FDIC, NCUA, and FFIEC public datasets.

Enables AI agents to look up county assessor public records for properties, check MLS discrepancies against public data, and discover new county assessor sources, all via a local MCP server for real-estate appraisal workflows.

Enables semantic search across documents and code repositories using RAG (Retrieval-Augmented Generation) with vector embeddings. Automatically indexes PDF documents and performs relevance-scored lookups through ChromaDB and sentence transformers.

An open-source, zero-dependency Model Context Protocol (MCP) server and HTTP 402 payment gateway template built for Cloudflare Workers and Node.js. This repository provides an automated store API on Solana (USDC) alongside a native MCP Server interface. It enables AI agents (Claude Desktop, Cursor, etc.) to discover, pay for, and consume paid digital assets via standardized MCP Tools.

Indexes Kotlin/Native platform klibs to enable fast symbol lookup for iOS APIs. Supports querying classes, members, and platform constants via MCP tools for Kotlin Multiplatform development.

embedded code search engine CLI -AST based that just works - improves speed and efficiency for coding agent

An MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.

Gemini-powered MCP server for automated code review, analysis, and documentation.

Renders source code as beautiful SVG or PNG images with syntax highlighting, line numbers, and diff support. Ideal for AI agents to present code visually to humans or for sharing snippets.

Analyzes JSX prop usage in React/TypeScript codebases using AST parsing, enabling prop usage tracking, component analysis, and TypeScript support.

Enables read-only MCP access to an unpacked game data directory, supporting directory listing, paginated text/XML reading, content search, translation lookup, and retrieval of spell/entity definitions without executing Lua or computing derived values.

Checks a code repository without running it: Safe, Works and Complete scores with an A-F grade, catching leaked keys, dangerous calls, invented or lookalike packages, broken imports and missing project files. Standard-library Python; MCP tools scan, orphans and explain.

A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.

A local-only codebase indexer that extracts syntax-aware chunks, creates embeddings locally, and enables semantic code search and symbol lookup via MCP.

Persistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.

A local, SQLite-backed code index for Claude Code, exposed over MCP, enabling targeted code retrieval without external APIs.

Enables users to read code with selection-based floating explanations, file-purpose summaries, interactive code mind maps, and source navigation, available as an independent web app or Codex plugin. It supports local-only reading workflows, model selection, caching, and project context without sending chat messages.