"How to send queries to an Elasticsearch cluster" matching MCP servers:

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.

Enables secure file delivery by encrypting files client-side and generating one-time, auto-deleting download links, with tools to create sends, check their status, and revoke them.

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.

MCP server for the Red Hat Advanced Cluster Security for Kubernetes API, providing LLM access to all 69 API services and 361 endpoints through six meta-tools for discovery, inspection, and direct API calls.

Enables AI agents to access only task-relevant data with secrets hidden and personal details pseudonymized, while enforcing destination policies to prevent data leakage even under prompt injection.

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.

Enables AI agents to read and send email, handle attachments and manage calendar invitations through their own IMAP/SMTP mailboxes, with per-mailbox sender and recipient allow lists and automatic HTML-to-Markdown conversion. It runs as a single self-hosted Docker container, exposing the same tools over MCP and REST.

An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.

MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.

Enables MCP-speaking agents to execute tool calls through an authorization gate, producing signed decision records and reconciled effect rows for accountability.

▎ Check an email before an AI agent sends it: send / ask a human / block — with machine reason codes and prompt-injection detection.

Provides MCP tools for Sytadel identity and access management, enabling user listing, service account management, session anomaly queries, policy generation, and access reviews.

Enables an assistant to read SMS texts and transcribed calls on a Cleat US mobile line, including waiting for the next verification code to arrive.

Lets an LLM explore a cryptic legacy ERP schema in plain language through a semantic layer (table listing, column descriptions, published dictionary) and run single read-only SELECT queries that return capped results. Enforces safety at the database engine level: only reads are authorized, sensitive columns are masked to NULL, queries are aborted after a few seconds, and every call is written to an append-only audit log.

Runs a regular expression on real engines — JavaScript (V8), Python (CPython re), PCRE2 and RE2 — reporting each engine's own compile errors with positions, every match with its groups and named groups, replacement results, and where the engines disagree. It also detects catastrophic backtracking (ReDoS), naming the at-risk part of the pattern, generating an attack string, and timing how long each engine actually takes on it.

An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.

MCP server for connecting to SQL Server in readonly mode. Allows any MCP client to explore the schema and run SELECT queries against a SQL Server database.

Enables LLMs to safely query databases through a secure gateway that masks PII, enforces role-based table access, rate limits requests, and logs all queries, with Prisma support.

Provides read-only access to CWI's trust infrastructure, enabling Gear Ledger provenance queries, agent trust scoring via the Verdict Engine, and NEEDLE DROP ledger hash-chain verification over stdio.

Enables AI agents to send transactional email, authenticate sending domains, track delivery, and diagnose deliverability issues programmatically.