"Elastic Stack" matching MCP servers:

Instant secure Full Stack Apps and AI Agents

This MCP server enables classification of personal inbox messages by actionability, effort duration, and urgency, producing prioritized queues and elastic recommendations that help prevent attention fragmentation.

Brings interactive blue-team security operations into AI hosts, enabling alert triage, attack discovery, case management, detection rules, threat hunting, and sample data generation with rich inline UIs.

Enables users to connect and run Stack AI workflows directly through MCP-compatible clients. It allows for passing user inputs to specific projects and receiving structured responses from deployed AI applications.

Enables personal AI agents and users to reinforce habits, triage decisions, and prevent streak-break abandonment by generating adaptive micro-fallbacks and elastic recommendations.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

MCP server for AI governance — push compliance evidence to Mima from any agent, any stack, 4 lines of config. One tool call maps to EU AI Act, ISO 42001, SOC 2, and NIST AI RMF simultaneously. Your readiness score updates automatically.

An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.

A Model Context Protocol (MCP) server for searching STAC catalogs, downloading satellite bands, and creating composites via 21 tools.

Build on the Flarelink stack — Cloudflare auth (better-auth + KV sessions), D1, and R2 — from AI coding tools. Provides copy-paste code patterns and scaffolding that need no account, plus project-management tools (list/query your projects, D1 databases, and R2 buckets) gated by a Flarelink API key.

Enables AI assistants to run pay-per-result web data and media tools such as website tech stack detection, document-to-Markdown conversion, SEO audits, OCR, and domain lookups via Apify.

Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.

Enables AI to dynamically search, describe, and execute 2000+ ZStack Cloud APIs, plus query monitoring metrics and data.

Remoet turns job search into a curated agent workflow. Connect Claude, Cursor, or any MCP client, search companies by real tech stack data (not recruiter keywords), star the ones that fit, and let your agent surface fresh jobs from your shortlist. Profile, applications, digests all over MCP.

MCP server for the Symbols.app platform, enabling AI coding assistants to search docs, generate components, audit code, manage projects, and deploy via the smbls stack.

Enables Claude, Cursor, and other MCP clients to audit public sites across six areas, check and follow llms.txt links, compare rival sites side by side, and run sixteen content gates on local Markdown or MDX using only free public signals.

Enables provisioning a fixed Ubuntu host and deploying registered PHP applications via Deployer, with read-only planning and validated stack/application reconciliation.

Web scraping and SEO tools for AI agents, backed by the ToolTrace API. Turn any URL into clean Markdown, structured metadata, links and JSON-LD, run technical SEO audits, detect a site's tech stack, and validate XML sitemaps. Every result carries fetch evidence showing which page was actually read. One tool per ToolTrace endpoint, growing as the API does. Free tier included.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.