"Connecting a backend project to an Elasticsearch database" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Security scanner for MCP servers and AI-generated code. Detects leaked API keys, PII, prompt injection, and MCP misconfigs with A-F security grades.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Enables scanning projects for dependency vulnerabilities, secrets, license conflicts, code quality, and git health, returning a 0-100 health score with actionable suggestions.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Blocks prompt injection, jailbreaks, and out-of-scope input before an AI agent acts. classify_input tool, stdio transport.

Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.

Enables secure API key management for development projects by storing keys in OS keychains, auto-generating .env files and SDK client code, and providing AI-assisted key management through Claude Code integration.

An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.

A governed MCP server that enforces OAuth 2.1 scope checking and policy-driven access control for AI agents, providing a full audit trail on every tool call. It includes tools for Cisco Webex Contact Center knowledge search and SD-WAN network operations.

Enables AI agents to manage VPN infrastructure through provisioning, lifecycle control, traffic routing, and health monitoring.

Enables natural language threat hunting and incident response by connecting LLMs to enterprise security data sources like Elasticsearch, EVTX logs, PCAP files, and Velociraptor.

A production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.

Enables chatting with PostgreSQL databases through secure GitHub OAuth authentication, supporting read operations for all users and write operations for privileged users. Deployable as a production-ready remote MCP server on Cloudflare Workers with automatic schema discovery and SQL injection protection.

Provides LLM scoped, safe access to heavy equipment data, gating high-risk actions behind capability checks, supervisor sign-off, and human elicitation.

Enables safe file system operations including reading, writing, updating, and deleting files with built-in security safeguards, automatic backups, and comprehensive error handling. Provides directory listing, file metadata extraction, and protects against operations on system-critical paths.

MCP server for heavy equipment management with role-based access, supervisor authentication, and high-risk request elicitation/sampling.