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edgedelta/edgedelta-mcp-server

by Various

Edge Delta MCP Server

E

MCP

edgedelta/edgedelta-mcp-server

Added 1 June 2026

Overview

A Go-based server that implements the Model Context Protocol (MCP) to expose Edge Delta observability data to AI agents. It allows tools like Claude to query logs, metrics, and alerts from Edge Delta through a standardized interface.

Best for

Best for
Developers building AI agents that need programmatic access to Edge Delta observability data

Use cases

  • Querying Edge Delta logs and metrics from an AI assistant
  • Automating incident response by letting AI agents fetch observability data
  • Integrating Edge Delta with MCP-compatible development tools

How to use

Tools exposed

  • get_pipelines
  • get_pipeline_config
  • get_pipeline_history
  • validate_pipeline_config
  • save_pipeline_config
  • deploy_pipeline
  • revert_pipeline
  • add_pipeline_source
  • start_pipeline_capture
  • get_pipeline_capture_status
  • get_pipeline_capture_results
  • get_pipeline_capture_task
  • test_pipeline_ottl
  • test_pipeline_node

Tested with

Cursor

Example client config

{\n  "mcpServers": {\n    "edgedelta": {\n      "command": "docker",\n      "args": [\n        "run",\n        "-i",\n        "--rm",\n        "-e ED_ORG_ID",\n        "-e ED_API_TOKEN",\n        "ghcr.io/edgedelta/edgedelta-mcp-server:latest"\n      ],\n      "env": {\n        "ED_API_TOKEN": "<YOUR_TOKEN>",\n        "ED_ORG_ID": "<YOUR_ORG_ID>"\n      }\n    }\n  }\n}

Notes

A Go-based server that implements the Model Context Protocol (MCP) to expose Edge Delta observability data to AI agents. It allows tools like Claude to query logs, metrics, and alerts from Edge Delta through a standardized interface.

5 stars on GitHub. Last updated 2026-04-29. Licensed MIT.

Use cases

  • Querying Edge Delta logs and metrics from an AI assistant
  • Automating incident response by letting AI agents fetch observability data
  • Integrating Edge Delta with MCP-compatible development tools

Pros

  • Lightweight Go binary with minimal dependencies
  • Standard MCP interface works with multiple AI clients
  • Enables natural language access to observability data

Cons

  • Small project with limited community and documentation
  • Requires an existing Edge Delta account and API access
  • May lack advanced filtering or aggregation features

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Go binary with minimal dependencies
  • Standard MCP interface works with multiple AI clients
  • Enables natural language access to observability data

Cons

  • Small project with limited community and documentation
  • Requires an existing Edge Delta account and API access
  • May lack advanced filtering or aggregation features
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