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  3. Edgedelta MCP Server
Edgedelta MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 4:46:55 PM

Edgedelta MCP Server

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View Repository9 GitHub StarsTotal stargazers on GitHub for the source repository (9 stars).Visit Website
edge-deltamonitoringobservabilitypipelines

Manage Edge Delta pipelines, test processors, inspect observability data, and verify transformations through live captures.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for edgedelta/edgedelta-mcp-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Overview

The edgedelta/edgedelta-mcp-server MCP server connects AI tools to Edge Delta APIs for observability queries and pipeline operations. It can inspect pipeline configurations and history, validate and save YAML, deploy or revert versions, and add pipeline sources. Processor testing runs offline against sample logs, while live-capture tools compare before-and-after data on running agents. Reach for it when an agent needs to investigate Edge Delta data or safely develop, deploy, and verify pipeline changes.

Use cases

β€’Inspect Edge Delta anomalies, logs, patterns, and events
β€’Validate and deploy pipeline configuration changes
β€’Test OTTL transformations against sample log items
β€’Verify live pipeline transformations with captured data
β€’Roll back a pipeline to a saved version

Key features

β€’Pipeline configuration and version history access
β€’Validate, save, deploy, and revert pipeline changes
β€’Offline OTTL and processor-node testing
β€’Live before-and-after pipeline captures
β€’Edge Delta observability data queries

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Edgedelta MCP Server.

Extracted Tool Capabilities
Pipeline configuration and version history access
Validate, save, deploy, and revert pipeline changes
Offline OTTL and processor-node testing
Live before-and-after pipeline captures
Edge Delta observability data queries

How Edgedelta MCP Server works

What edgedelta/edgedelta-mcp-server MCP server does

The edgedelta/edgedelta-mcp-server MCP server exposes Edge Delta capabilities through the Model Context Protocol. It supports observability workflows involving anomalies, logs, patterns, and events, along with inspection and modification of Edge Delta pipelines.

Pipeline tools cover discovery, configuration, version history, validation, saving, deployment, rollback, and adding data-source nodes. Configuration changes use a controlled sequence: validate the YAML, save it as a version, and deploy that saved version. A saved version is not deployed automatically, and earlier versions can be restored with the revert operation.

The server also supports two forms of processor verification. Offline tests apply OTTL statements or complete processor nodes to sample OpenTelemetry log items without saving configuration, deploying a pipeline, or using live traffic. Live captures sample data from running agents so an agent can compare the input and output around pipeline nodes.

How it works

An agent can first retrieve a pipeline configuration, modify the YAML, and submit it for validation. If validation succeeds, it can save the configuration, inspect the resulting history, and deploy the selected version. Revert is available when a previously saved version needs to be restored.

For live verification, the agent starts a capture task with a duration and optional node selection or item limit. It polls the task status until an agent reports success, then retrieves before-and-after samples for comparison. This distinguishes a syntactically valid configuration from a transformation that actually changed flowing data.

Offline processor tests accept sample log items. test_pipeline_ottl evaluates OTTL statements, including pattern-based field extraction, while test_pipeline_node tests processor nodes such as log-to-metric, log-to-pattern, metric extraction, JSON attribute parsing, grok, and masking.

Setup and configuration

Running the edgedelta/edgedelta-mcp-server MCP server requires Docker Engine 20.10 or newer with Docker Buildx available. Docker Desktop includes Buildx on macOS and Windows; Linux users may need to install the docker-buildx-plugin package or use the documented manual fallback.

The server requires an Edge Delta API token with the necessary scope and an Edge Delta organisation ID. Configure these values through ED_API_TOKEN and ED_ORG_ID. The documented Cursor setup runs the container interactively, removes it after exit, passes both environment variables, and uses the image ghcr.io/edgedelta/edgedelta-mcp-server:latest.

The repository also documents a local image workflow: create and bootstrap a Buildx builder, then build the project image with the tag mcp/edgedelta and load it into the local Docker daemon.

Tools and capabilities

  • Discover pipelines and read configurations and version history.
  • Validate YAML without saving it.
  • Save, deploy, and revert pipeline versions.
  • Add a data-source node to a pipeline.
  • Start, monitor, inspect, and retrieve live pipeline captures.
  • Dry-run OTTL transformations against sample OTEL log items.
  • Dry-run complete processor nodes and inspect emitted items by output path.
  • Query Edge Delta observability data involving anomalies, logs, patterns, and events.

Limitations and notes

Saving a configuration does not deploy it. Configuration validation confirms that the configuration is valid, but live capture is needed to check the resulting data transformation on running agents. Offline processor tests do not use live traffic and do not change pipeline state.

The exported Go library API is experimental and may change without notice. The provided material documents Cursor usage; compatibility with other MCP clients is not established here. Access also depends on a correctly scoped Edge Delta API token and the organisation ID.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
9
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Edgedelta MCP Server

Build or run the Docker image documented by the project. The Cursor configuration uses ghcr.io/edgedelta/edgedelta-mcp-server:latest and passes ED_API_TOKEN and ED_ORG_ID.

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
PricingBring your own API key (usage-based cost)
More technical detailsExpand β–Ύ
AuthAPI key
LicenseMIT
ClientsCursor
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars9
GitHub Star CountTotal stargazers on GitHub representing community popularity (9 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 8, 2026
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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