AgentIndex icon
AgentIndex
agentlens logo
agentlens
★ 24
vs
mcpsnoop logo
mcpsnoop
★ 362

agentlens vs mcpsnoop

agentlens: AgentLens is an open-source observability tool designed for AI agents, capturing every LLM call, tool invocation, and decision. It stands out with a tamper-evident audit trail, cryptographically verifying events to ensure compliance and data integrity.; 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.

01

TL;DR

agentlens logo
agentlensObservability · ★ 24

Monitoring and debugging AI agent runs in real-time.

Read agentlens full review →
mcpsnoop logo
mcpsnoopObservability · ★ 362

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

Read mcpsnoop full review →
02

Side-by-Side Comparison

Field
agentlens logoagentlens
mcpsnoop logomcpsnoop
Category
Observability
Observability
Stars
★ 24
★ 362
License
MIT
MIT
Install Command
docker run -p 3400:3400 -e AUTH_DISABLED=true -e JWT_SECRET=dev-secret ghcr.io/agentkitai/agentlens
go install github.com/kerlenton/mcpsnoop/cmd/mcpsnoop@latest
Updated
5d ago
6d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Observability, AI Agents, Audit Trail
AI Development, Debugging Tool, Network Proxy
03

Features

agentlens logoagentlens
01Python Auto-Instrumentation for 9 LLM providers
02Tamper-Evident Audit Trail with SHA-256 hash chains
03Real-Time Web Dashboard for monitoring and analytics
04LLM Call Tracking, cost aggregation, and latency measurement
05Cost Optimization with model recommendation engine
06Session Replay to step-through past agent runs
mcpsnoop logomcpsnoop
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.
04

Use Cases

agentlens logoagentlens
↳Monitoring and debugging AI agent runs in real-time.
↳Ensuring compliance with regulations like EU AI Act Article 12 through verifiable audit logs.
↳Tracking and optimizing LLM costs and performance across agents and models.
↳A/B testing and benchmarking different agent variants for improved performance.
↳Analyzing past agent sessions with full context reconstruction for understanding behavior.
mcpsnoop logomcpsnoop
↳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

FAQ

What is the difference between agentlens and mcpsnoop?
Both agentlens and mcpsnoop are in the Observability category. agentlens has 24 stars, while mcpsnoop has 362 stars.
Which is better, agentlens or mcpsnoop?
The best choice depends on your use case. Choose agentlens if Monitoring and debugging AI agent runs in real-time., and mcpsnoop if Debugging AI client-server communication to identify unseen or unexpected tool calls..
Is agentlens free or open source?
Yes, agentlens is open source on GitHub (MIT).
Is mcpsnoop free or open source?
Yes, mcpsnoop is open source on GitHub (MIT).
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Related

Alternatives to agentlens →Alternatives to mcpsnoop →agentlens details →mcpsnoop details →