arrca-graph

★ 13

mcpsnoop

★ 364

arrca-graph vs mcpsnoop

Q: Which is better, arrca-graph or mcpsnoop?

By GitHub stars, mcpsnoop has more community adoption, but the best choice depends on your specific use case.

arrca-graph: This project provides a live Kubernetes service dependency graph, or service map, built from OpenTelemetry traces and the Kubernetes API. It allows users and LLMs to query service relationships, understand cluster structure, and analyze dependencies for tasks like safe deprecation and blast radius assessment.; mcpsnoop: mcpsnoop is a transparent proxy designed for the Model Context Protocol (MCP), acting like Wireshark for AI client-server interactions. It allows developers to live-debug actual MCP traffic in a terminal UI, addressing limitations of existing tools by observing real client-server communications.

TL;DR

arrca-graphObservability · ★ 13

Safely deprecating services by identifying all callers of specific API versions.

Read arrca-graph full review →

mcpsnoopObservability · ★ 364

Debugging AI client-server communication to identify unseen or unexpected tool calls.

Read mcpsnoop full review →

Side-by-Side Comparison

Field

arrca-graph

mcpsnoop

Features

arrca-graph

01Dynamically builds a relationship graph (service map) from Kubernetes API and OpenTelemetry trace spans.

02Functions without requiring service mesh sidecars or direct kernel access.

03Stores a lightweight, distilled relationship graph optimized for querying by scripts and LLMs, unlike raw trace storage.

04Provides query capabilities via REST API and a Multimodal Conversational Platform (MCP) server for LLM interaction.

mcpsnoop

01Live JSON-RPC stream with color-coding, error flagging, and slow call detection.

02Replay any captured tool call against an isolated server instance.

03Capability inspector to view client and server agreed capabilities during handshake.

04Hung-call detection for in-flight requests with live timers.

05Powerful filter query to narrow the stream by tool, status, direction, kind, or text.

Use Cases

arrca-graph

↳Safely deprecating services by identifying all callers of specific API versions.

↳Assessing the blast radius of changes by determining upstream dependencies of a deployment.

↳Identifying unused APIs or dead code by finding exposed endpoints with no callers.

↳Understanding data-store reach by pinpointing services that interact with a specific database.

↳Analyzing cross-zone traffic patterns for services.

mcpsnoop

↳Debugging AI client-server communication to identify unseen or unexpected tool calls.

↳Rapid iteration on tool development by replaying captured calls against fresh server instances.

↳Identifying hung or failed tool calls and understanding capability discrepancies.

↳Observing the exact MCP traffic between your AI client and server in real-time.

FAQ

What is the difference between arrca-graph and mcpsnoop?

Both arrca-graph and mcpsnoop are in the Observability category. arrca-graph has 13 stars, while mcpsnoop has 364 stars.

Which is better, arrca-graph or mcpsnoop?

The best choice depends on your use case. Choose arrca-graph if Safely deprecating services by identifying all callers of specific API versions., and mcpsnoop if Debugging AI client-server communication to identify unseen or unexpected tool calls..

Is arrca-graph free or open source?

Yes, arrca-graph is open source on GitHub (Apache-2.0).

Is mcpsnoop free or open source?

Yes, mcpsnoop is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to arrca-graph →Alternatives to mcpsnoop →arrca-graph details →mcpsnoop details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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