AgentIndex icon
AgentIndex
opik-mcp logo
opik-mcp
★ 225
vs
lmnr logo
lmnr
★ 3.4k

opik-mcp vs lmnr

opik-mcp: opik-mcp is a Model Context Protocol server that integrates Opik, an LLM observability platform, with AI coding assistants like Claude Code, Cursor, VS Code Copilot, and MCP Inspector. It enables reading traces, scoring, saving prompt versions, and asking Ollie investigative questions directly from chat. Requires Python 3.13+ and uses uvx for execution.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.

01

TL;DR

opik-mcp logo
opik-mcpObservability · ★ 225

Query Opik projects and retrieve trace details from chat

Read opik-mcp full review →
lmnr logo
lmnrObservability · ★ 3.4k

Debugging and understanding the execution flow and internal states of AI agents.

Read lmnr full review →
02

Side-by-Side Comparison

Field
opik-mcp logoopik-mcp
lmnr logolmnr
Category
Observability
Observability
Stars
★ 225
★ 3.4k
License
Apache-2.0
Apache-2.0
Install Command
uvx opik-mcp
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
generative-ai, mcp-server, mcp-servers
AI Observability, Tracing, LLM Evals
03

Features

opik-mcp logoopik-mcp
01Supports multiple AI hosts: Claude Code, Cursor, VS Code Copilot, MCP Inspector
02Provides six tools: read, list, ask_ollie, write, schema, run_experiment
03Authenticated access to Opik workspace for read/write operations
04YOLO mode for automatic approval of Ollie's writes with audit logging
05Self-hosted Opik configuration support with environment variables
lmnr logolmnr
01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04

Use Cases

opik-mcp logoopik-mcp
↳Query Opik projects and retrieve trace details from chat
↳Score traces or add comments interactively during development
↳Investigate experiment regressions by asking Ollie analytical questions
lmnr logolmnr
↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05

Best For

opik-mcp logoopik-mcp
—
lmnr logolmnr
EssentialTrending
FAQ

FAQ

What is the difference between opik-mcp and lmnr?
Both opik-mcp and lmnr are in the Observability category. opik-mcp has 225 stars, while lmnr has 3.4k stars.
Which is better, opik-mcp or lmnr?
The best choice depends on your use case. Choose opik-mcp if Query Opik projects and retrieve trace details from chat, and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is opik-mcp free or open source?
Yes, opik-mcp is open source on GitHub (Apache-2.0).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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Alternatives to opik-mcp →Alternatives to lmnr →opik-mcp details →lmnr details →