"Retrieving customer data from Stripe" matching MCP servers:

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 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.

Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.

Query only the data you need from your JSON file and keep your context clean

Parses UEFN Verse build diagnostics from UnrealEditorFortnite.log and exposes structured error data to MCP clients.

AI co-founder MCP server for solo founders. Multi-perspective code review (CTO, Security, Product, DevOps, Customer), stage-aware guidance, tech decision validation, and portfolio management across projects.

Enables searching Maven Central artifacts, retrieving versions, and analyzing dependencies via natural language.

Exposes the codetoprompt library to LLM agents for generating comprehensive prompts from directories and retrieving specific file contents. It enables codebase analysis through detailed statistics like token counts and file type breakdowns.

MCP server for retrieving Fict documentation, running compiler/ESLint/TypeScript diagnostics, and generating shareable Playground links.

Enables AI agents to query Doxygen-generated XML documentation, including searching symbols, retrieving documentation, and listing class members for a specified library.

Enables scanning of AI agent code for security vulnerabilities such as prompt injection, tool abuse, and data exfiltration, directly from MCP-compatible clients like Claude Code.

An MCP server that enables AI models to inspect local Python packages by retrieving PyPI descriptions, file structures, and source code. It allows agents to understand third-party libraries directly from a specified environment for tasks like code analysis and dependency checking.

Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.

A standalone Node.js MCP server designed for Memory Bank workflows that enables users to generate project-specific documentation from codebases. It provides tools for creating execution instructions and retrieving structured documentation context, specifically for the iOS stack.

Enables querying SAST code quality and security data from SonarQube and Coverity Connect via MCP, including quality gates, issues, projects, streams, and defects.

Provides production insights and code analysis by leveraging Nexus instrumentation data to identify CPU-intensive methods and visualize execution flow trees. It enables developers to make data-driven decisions through real-time performance metrics and automated service discovery from Java class names.

Enables AI assistants to autonomously review GitHub Pull Requests by listing PRs, retrieving diffs, and submitting structured reviews.

Enables AI assistants to monitor GitHub repository health by calculating health scores, fetching repository metadata, analyzing Dependabot alerts, checking CI/CD status, and retrieving code scanning alerts.

Topos scores code quality by analyzing the geometric and topological structure of program graphs, surfacing structural debt that conventional linters can't compute. Gives coding agents a medal-scored (SLOP → GOLD) feedback loop for writing cleaner, more composable code.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.