"Analyzing data in OpenSearch" matching MCP servers:

Generates legal policies (privacy, terms, cookies, etc.) directly from AI coding tools by analyzing codebase context.

Enables static security audit of Solidity smart contracts by analyzing source code or deployed bytecode for vulnerabilities, providing risk scores and detailed findings.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Parses Unity text-serialized .prefab, .unity, and .asset files to output only Inspector-visible data in hierarchical YAML, reducing token usage by up to 96%.

Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.

Provides role-aware repository maps for LLM agents by analyzing codebases and ranking files within a token budget.

Generates Phaset manifest files by analyzing your repository with Claude's AI, automatically inferring fields from code, configs, and documentation.

Provides real-time security risk assessment for AI coding prompts, analyzing potential dangers, blast radius, and complexity before code execution in Cursor.

An MCP server that catches dangerous SQL migrations by analyzing PostgreSQL statements for locking risks and providing safe rewrites.

Generates and maintains grounded, enterprise-grade documentation for any codebase by analyzing real project artifacts, ensuring every claim is traceable to actual findings.

A toolkit for analyzing subreddits and post patterns to help choose communities and shape posts using real data, running as an MCP server and command-line tool.

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.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

A server for analyzing technical debt across multiple programming languages, integrating with MCP-compatible tools to detect code quality issues and provide prioritized recommendations.

A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.

Enables offline-first industrial manufacturing workflows by parsing, linting, and drafting FANUC .LS robot programs and analyzing STEP/STP CAD files through MCP tools.

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.

Enables reading and analyzing CodeFactor repository issue pages, providing normalized issue data, summaries, and prompts for code improvements.

Enables evidence-driven debugging of RTL testbench simulation failures by parsing logs and analyzing FSDB/VCD waveforms through a guided MCP workflow.

Automatically generates Postman collections from code directories by analyzing API endpoints and parameters, enabling easy testing, documentation, and sharing.