Edge Delta MCP Server
Seamlessly integrate Edge Delta APIs into the Model Context Protocol ecosystem.
Key Features
Use Cases
README
Edge Delta MCP Server
The Edge Delta MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Edge Delta APIs, enabling advanced automation and interaction capabilities for developers and tools.
Use Cases
- Extract and analyse observability data from Edge Delta.
- Build AI‑powered tools and applications that interact with Edge Delta’s platform.
Prerequisites
- Docker Engine ≥ 20.10 installed and running.
- Docker Buildx plug‑in available:
- macOS / Windows – included with Docker Desktop.
- Debian / Ubuntu
bash
sudo apt-get update && sudo apt-get install -y docker-buildx-plugin - Fedora / RHEL / CentOS
bash
sudo dnf install -y docker-buildx-plugin # or yum install … - Other distros (manual fallback)
bash
mkdir -p ~/.docker/cli-plugins curl -sSL \ https://github.com/docker/buildx/releases/latest/download/buildx-$(uname -s | tr '[:upper:]' '[:lower:]')-amd64 \ -o ~/.docker/cli-plugins/docker-buildx chmod +x ~/.docker/cli-plugins/docker-buildx
- An Edge Delta API token with the required scope – create one here.
- Your Edge Delta organisation ID – find it here.
Build (container image)
First‑time setup (creates a multi‑platform builder and boots it):
docker buildx create --name edgedelta-builder --use
docker buildx inspect --bootstrap
Build the image and load it into the local Docker daemon:
docker buildx build --load -t mcp/edgedelta .
ℹ️ The
--loadflag streams the image back to your local Docker engine so you can run it directly withdocker run mcp/edgedelta ….
Installation
Usage with Cursor
{
"mcpServers": {
"edgedelta": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e ED_ORG_ID",
"-e ED_API_TOKEN",
"ghcr.io/edgedelta/edgedelta-mcp-server:latest"
],
"env": {
"ED_API_TOKEN": "<YOUR_TOKEN>",
"ED_ORG_ID": "<YOUR_ORG_ID>"
}
}
}
}
Library Usage
The exported Go API of this module is experimental and may change without notice. If you rely on it in production, please open an issue describing your use case so we can stabilise the relevant surface.
License
Licensed under the terms of the MIT licence. See LICENSE for full details.
Star History
Repository Owner
Organization
Repository Details
Programming Languages
Tags
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
metoro-mcp-server
Bridge Kubernetes observability data to LLMs via the Model Context Protocol.
Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.
- ⭐ 45
- MCP
- metoro-io/metoro-mcp-server
VictoriaMetrics MCP Server
Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.
VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.
- ⭐ 87
- MCP
- VictoriaMetrics-Community/mcp-victoriametrics
Teamwork MCP Server
Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol
Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.
- ⭐ 11
- MCP
- Teamwork/mcp
Semgrep MCP Server
A Model Context Protocol server powered by Semgrep for seamless code analysis integration.
Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.
- ⭐ 611
- MCP
- semgrep/mcp
Last9 MCP Server
Enables AI agents to access real-time production observability data for automated code fixes.
Last9 MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration between AI agents and production observability data. It allows tools and agents to fetch live logs, metrics, traces, events, and alerts from Last9 systems, supporting a range of development environments and IDEs. This enables faster debugging, automated code fixes, and insightful context directly within local development workflows.
- ⭐ 46
- MCP
- last9/last9-mcp-server
Baseline MCP Server
Brings web platform API support status to AI models via Model Context Protocol.
Baseline MCP Server serves as a Model Context Protocol (MCP) server, providing API endpoints to retrieve the baseline support status of web platform features. It fetches data from the Web Platform Dashboard API and delivers web API compatibility details, including browser support levels, baseline status, and usage data, to MCP clients or AI models. The server is configurable for various MCP clients including Claude Desktop and Visual Studio Code, and can also be deployed via Docker or Deno environments. It enables integration of up-to-date, machine-readable browser compatibility information with large language models and development tools.
- ⭐ 36
- MCP
- yamanoku/baseline-mcp-server
Didn't find tool you were looking for?