Skip to main content
ElasticLaunch

Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools.

What happened

Elastic NV launched MCP Apps for Elastic on Apr 22nd '26.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools. April 21, 2026 MCP Apps bring Elastic's security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients. The new MCP Apps enable teams to investigate threats, diagnose system behavior, and act on data directly within the AI tools they already use, without switching tools or stitching together separate systems. Built on the Model Context Protocol (MCP) apps spec, the open standard co-authored by Anthropic and OpenAI, these apps allow AI assistants to return fully interactive user interfaces rendered directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam. Most AI integrations today stop at conversational text. That works for simple queries, but breaks down for workflows that are inherently visual and interactive, including alert triage, investigation graphs, dashboards, and distributed traces. Elastic's MCP Apps close that gap by supporting security and...

Keep reading with a free account

The rest of this article, and every signal for Elastic, is in your free account.

Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
MCP Apps for Elastic
Takes effect
Apr 22, 2026

The full record

From the Signal API record

Details

Category
Launches

Topics and mentions

Product tags

  • mobile
  • online technology

Extraction

Confidence
79%
Detected
Apr 22, 2026
signal_type
news
signal_subtype
launches

Use this data

Get every launch signal for Elastic and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Elastic this week?”

  2. Send it to your own tools

    The Signal API returns launch signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/fdedc734-210e-4d22-af0a-69ad507f8bfa returns this record as JSON. POST /v1/companies/enrich returns every signal for elastic.co.

{
  "signal_id": "fdedc734-210e-4d22-af0a-69ad507f8bfa",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-04-22T10:52:53+00:00",
  "company": {
    "name": "Elastic",
    "domain": "elastic.co"
  },
  "data": {
    "url": "https://ir.elastic.co/News--Events/news/news-details/2026/Elastic-Delivers-First-Embedded-AI-Experiences-for-Observability-and-Security-Inside-Third-Party-AI-Tools/default.aspx",
    "title": "Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools.",
    "excerpt": "Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools.\n\nApril 21, 2026\n\nMCP Apps bring Elastic's security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration\n\nSAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients. The new MCP Apps enable teams to investigate threats, diagnose system behavior, and act on data directly within the AI tools they already use, without switching tools or stitching together separate systems.\n\nBuilt on the Model Context Protocol (MCP) apps spec, the open standard co-authored by Anthropic and OpenAI, these apps allow AI assistants to return fully interactive user interfaces rendered directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam.\n\nMost AI integrations today stop at conversational text. That works for simple queries, but breaks down for workflows that are inherently visual and interactive, including alert triage, investigation graphs, dashboards, and distributed traces. Elastic's MCP Apps close that gap by supporting security and...",
    "product": "MCP Apps for Elastic",
    "summary": "Elastic NV launched MCP Apps for Elastic on Apr 22nd '26.",
    "category": "launches",
    "found_at": "2026-04-22T10:52:53Z",
    "planning": false,
    "image_url": "https://s206.q4cdn.com/471820867/files/design/site_logo/iAlZN6L-DJ-ONEMQIKAVRQ.png",
    "confidence": 0.7915,
    "product_data": {
      "full_text": "MCP Apps for Elastic",
      "fuzzy_match": true
    },
    "product_tags": [
      "mobile",
      "online_technology"
    ],
    "published_at": "2026-04-21T00:00:00Z",
    "effective_date": "2026-04-22",
    "article_sentence": "SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients."
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.