"Merchant Data Analysis Creation" matching MCP servers:

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

An intelligent MCP toolset for software testers that monitors code changes, analyzes test impact, recommends tests, and assesses risk, supporting multiple AI coding frameworks via dual transport modes.

Enables coding agents to turn existing Compose and SwiftUI previews into a static Storybook-style gallery, including setup diagnosis, coverage analysis, and generating or building the gallery. It automates the creation of browsable component catalogs for native mobile apps without requiring a SaaS account.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

A comprehensive development toolkit with 23 tools covering code quality analysis, development efficiency, and project management. Enables AI-assisted code review, test generation, performance analysis, SQL generation, UI component creation, and automated project documentation.

PHP static analysis MCP server with 11 tools for querying 60+ code quality metrics, detecting problems (God Class, dependency cycles, SOLID violations), analyzing dependencies, identifying refactoring priorities, and mapping test coverage — all from live analysis data.

The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.

MCP server for TypeScript type resolution and dependency graph analysis using ts-morph and madge.

Local-first MCP server providing deterministic Flutter/Dart static analysis, knowledge search, and project review with structured insights and confidence-based findings over an indexed SQLite store of official repositories.

Transform your codebase into professional architectural decision records with intelligent AI analysis

Enables AI coding agents to test C++ code by running static analysis, sanitizers (ASan, TSan, LSan, UBSan), and performance profiling through eight MCP tools.

Analyzes frontend project code (React, Vue, Angular) and converts it into AI-understandable flow diagrams and object structures. Provides tools for code analysis, variable/function/component inspection, and project structure insights.

A multi-purpose MCP server with 11 tools for math, text analysis, data conversion, code analysis, charts, generators (UUIDs, hashes), datetime operations, regex matching, color conversions, CSV parsing, and diff comparison.

Enables starting code analysis and obtaining code analysis reports via the MCP protocol, integrating with Tencent Cloud Code Analysis (TCA).

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

Multi-client MCP server for integrating SonarQube 10.6+ code quality analysis with Amazon Q Developer, supporting multiple simultaneous users, branch analysis, and issue management.

Server for SonarQube Give AI assistants direct access to your code quality, security & analysis data

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Provides C# coding agents with compiler-accurate symbol analysis, including references, renames, and impact analysis for .NET solutions.

An MCP server for Microsoft Dynamics 365 Finance & Operations development, enabling object creation, modification, deletion, and analysis through the MCP standard.