Skip to main content

Edge Delta Model Context Protocol (MCP) Server Released

Edge Delta announced the release of the Edge Delta Model Context Protocol (MCP) Server, a step forward in integrating generative AI into observability and security workflows at petabyte scale.

The MCP Server is built on the open Model Context Protocol (MCP) standard, originally developed by Anthropic. This new server allows developers to seamlessly connect large language models (LLMs) with the data sources, tools, and environments that drive modern engineering — cutting root cause analysis from hours to seconds for cloud-scale teams.

"Every few years, a breakthrough reminds us just how far we've come. The Edge Delta MCP Server is one of those moments," said Fatih Yildiz, CTO of Edge Delta. "It brings the power of generative AI directly into developers' workflows — enabling smarter decisions, faster root cause analysis, and deeper insights from telemetry data, right from the IDE."

The Model Context Protocol (MCP) is an open standard that defines a client-server architecture for integrating LLMs with external tools and environments. It consists of:

  • MCP Hosts – Applications like Claude or OpenAI that manage LLM prompts
  • MCP Clients – Local agents that maintain connections with the server
  • MCP Servers – Infrastructure that connects these agents to external systems like Edge Delta

By acting as the connective tissue between AI models and the Edge Delta platform, Edge Delta's MCP Server allows teams to skip manual API integrations and tap into powerful, AI-enhanced workflows out of the box.

Edge Delta's MCP Server acts as an intelligent interface between LLMs and telemetry data, enabling:

  • Instant Root Cause Analysis – Ask natural language questions like "Why did error X spike?" and receive log patterns, metric deltas, and probable causes.
  • Adaptive Pipelines – Let AI recommend sampling rules, alert thresholds, or suppression logic in real time.
  • Seamless Integrations – Connect data insights from Edge Delta to tools like Slack, GitHub, or internal knowledge bases without writing custom code.

Once configured, users can inspect and manage their observability and security data using simple prompts within their IDE — turning complex telemetry queries into fast, structured responses powered by the Edge Delta platform.

Getting started is as easy as updating a configuration file — no need for complex authentication or bespoke integrations.

Edge Delta will extend the MCP Server to dashboard, metrics, and trace use cases later this quarter.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Edge Delta Model Context Protocol (MCP) Server Released

Edge Delta announced the release of the Edge Delta Model Context Protocol (MCP) Server, a step forward in integrating generative AI into observability and security workflows at petabyte scale.

The MCP Server is built on the open Model Context Protocol (MCP) standard, originally developed by Anthropic. This new server allows developers to seamlessly connect large language models (LLMs) with the data sources, tools, and environments that drive modern engineering — cutting root cause analysis from hours to seconds for cloud-scale teams.

"Every few years, a breakthrough reminds us just how far we've come. The Edge Delta MCP Server is one of those moments," said Fatih Yildiz, CTO of Edge Delta. "It brings the power of generative AI directly into developers' workflows — enabling smarter decisions, faster root cause analysis, and deeper insights from telemetry data, right from the IDE."

The Model Context Protocol (MCP) is an open standard that defines a client-server architecture for integrating LLMs with external tools and environments. It consists of:

  • MCP Hosts – Applications like Claude or OpenAI that manage LLM prompts
  • MCP Clients – Local agents that maintain connections with the server
  • MCP Servers – Infrastructure that connects these agents to external systems like Edge Delta

By acting as the connective tissue between AI models and the Edge Delta platform, Edge Delta's MCP Server allows teams to skip manual API integrations and tap into powerful, AI-enhanced workflows out of the box.

Edge Delta's MCP Server acts as an intelligent interface between LLMs and telemetry data, enabling:

  • Instant Root Cause Analysis – Ask natural language questions like "Why did error X spike?" and receive log patterns, metric deltas, and probable causes.
  • Adaptive Pipelines – Let AI recommend sampling rules, alert thresholds, or suppression logic in real time.
  • Seamless Integrations – Connect data insights from Edge Delta to tools like Slack, GitHub, or internal knowledge bases without writing custom code.

Once configured, users can inspect and manage their observability and security data using simple prompts within their IDE — turning complex telemetry queries into fast, structured responses powered by the Edge Delta platform.

Getting started is as easy as updating a configuration file — no need for complex authentication or bespoke integrations.

Edge Delta will extend the MCP Server to dashboard, metrics, and trace use cases later this quarter.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...