"Redis MCP server or integration" matching MCP servers:

Sentinel-IR-MCP MCP server for sentinel-ir: it lets AI agents in Claude Desktop, Cursor, Windsurf or any other Model Context Protocol client read a compact structural IR of JavaScript, TypeScript and Python files instead of the raw source.

Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.

Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

Automates frontend integration by mapping messy API JSON responses to Vue or React Design System components, generating Zod schemas for type-safe data transformation with live UI previews in chat.

Harvests React components from Aceternity UI and Shadcn UI, fetching code and metadata to generate integration prompts for AI agents.

Enables AI coding agents to perform evidence-based, read-only audits of supported software projects by exposing bounded project inventory and static-analysis findings for discovery, code review, integration tracing, security, and tests. Reports are returned as Markdown or JSON directly in the tool response, with no code executed or files written.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

MCP server for YApi integration that generates TypeScript types, mock data, and API request code.

Enables LLM-powered debugging with rr reverse execution, allowing record and replay of program execution via GDB/MI for forward and reverse state inspection.

Provides ChatGPT read-only access to inspect repositories, code, merge requests, pipelines, and CI logs on self-managed GitLab instances, including those reachable only from a private network or VPN.

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

A workshop repository teaching advanced Model Context Protocol features for building AI-connected apps with deeper integration capabilities.

A FastMCP-based server that provides secure sandboxed filesystem operations, API integration tools, and curated reasoning prompts for analysis and productivity tasks.

Exposes Cursor IDE's MCP tools (codebase search, file operations) as an HTTP API for integration with Open WebUI, n8n, and other automation tools.

Enables LLMs to autonomously reverse engineer binaries using Ghidra's capabilities including decompilation, function analysis, automatic renaming, and BSim integration for function similarity matching.

Provides code analysis for Next.js projects through the Model Context Protocol, enabling IDE and LLM integration to identify unused files, dead code, and redundant API endpoints.

Equips agentic AI tools with UI5-specific capabilities such as scaffolding new UI5 applications and integration cards, retrieving API references, guidelines, and version info, and validating manifests or running linters to detect and fix UI5 coding issues. It gives AI assistants the context and tooling needed to build and maintain UI5 projects more reliably.

Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.

Provides tools that let agentic AI clients scaffold new applications and Integration Cards, retrieve API reference documentation and development guidelines, extract project metadata, and validate manifests or lint code. This helps developers create projects faster and detect and fix framework-specific errors in their code.

Multi-language SAST and AI-powered fuzzing MCP server for Claude Code integration, enabling static and dynamic security analysis of code.

MCP server for advanced PowerShell integration with AI agents, enabling autonomous script execution, code analysis, and IntelliSense.

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

Exposes Ghidra reverse engineering capabilities via MCP, enabling LLMs and agents to analyze binaries, decompile, search, and edit programs headlessly or with GUI integration.

Bridges Claude Code and Google's Gemini AI models to enable AI-to-AI collaboration for code reviews, brainstorming, and direct questions.

Enables LLM-powered code analysis, generation, debugging, and context management through MCP integration with IDEs like Cursor and Claude Desktop.

MCP server providing Zig language features (completions, hover info, definitions, references) via integration with the Zig Language Server (zls).

A Model Context Protocol server that generates pull request descriptions, commit messages, and code reviews from actual code changes using git diff.

A Node.js-based FastMCP protocol server that integrates DeepSeek AI capabilities for intelligent conversations and code analysis, providing tool invocation abilities through the MCP protocol.

Multi-language code intelligence MCP server providing structured code analysis including symbol search, references, hierarchies, and change impact. Supports 25 languages with persistent indexing and LSP integration.

Enables seamless integration with SonarQube Server or Cloud for code quality and security analysis. Supports querying project metrics, issues, and analyzing code snippets directly within the agent context.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Enables read-only analysis of Dynamics 365 F&O Electronic Reporting exports through MCP tools for linting, structural and binding diffs, three-way rebase checks, export summaries, and inspection.

Enables AI coding assistants to detect exposed secrets and unsafe dynamic execution patterns in real time using regex, entropy analysis, and Python AST inspection before changes are finalized. It supports MCP stdio integration for Claude and can also be run as a CLI or CI/pre-commit security guardrail.

Serves an AI coding agent a searchable index of a codebase's existing capabilities and past incidents, so it can find and reuse what already exists before writing new code. Also exposes blast-radius analysis for shared code and lets the agent reindex the knowledge base, all via local retrieval with no model calls or API keys.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

Enables AI assistants to semantically search and understand code repositories using PostgreSQL with pgvector embeddings. Provides repository indexing, natural language code search, and development task management with git integration.

A TypeScript code graph tool with MCP integration that enables AI agents to perform semantic search and graph traversal (call graphs, paths between symbols) across a codebase.

Static analysis scanner for multi-tenant SaaS and MCP server code that catches cross-tenant data leakage with 57 deterministic rules, including an MCP server for Claude Desktop and Cursor integration.