AgentIndex icon
AgentIndex
opik-mcp logo
opik-mcp
★ 225
vs
bonnard-cli logo
bonnard-cli
★ 50

opik-mcp vs bonnard-cli

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.; bonnard-cli: Bonnard is an agent-native semantic layer CLI that enables deploying an MCP server and governed analytics API rapidly. It allows data teams to define metrics and dimensions in YAML, validate locally, and serve them to AI agents, BI tools, and human analysts.

01

TL;DR

opik-mcp logo
opik-mcpObservability · ★ 225

Query Opik projects and retrieve trace details from chat

Read opik-mcp full review →
bonnard-cli logo
bonnard-cliObservability · ★ 50

Deploying a governed analytics API for AI agents to query metrics programmatically.

Read bonnard-cli full review →
02

Side-by-Side Comparison

Field
opik-mcp logoopik-mcp
bonnard-cli logobonnard-cli
Category
Observability
Observability
Stars
★ 225
★ 50
License
Apache-2.0
MIT
Install Command
uvx opik-mcp
npm install -g @bonnard/cli
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
generative-ai, mcp-server, mcp-servers
Semantic Layer, CLI Tool, AI Agents
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
bonnard-cli logobonnard-cli
01Agent-native semantic layer with Model Context Protocol (MCP) as a core feature.
02Define metrics and dimensions in YAML, validate locally, and deploy to production.
03Automatically detects and integrates with various data warehouses and data tools.
04Query the semantic layer using JSON or SQL syntax from the terminal.
05Supports CI/CD deployment for non-interactive automation within pipelines.
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
bonnard-cli logobonnard-cli
↳Deploying a governed analytics API for AI agents to query metrics programmatically.
↳Providing a unified semantic layer for BI tools, data teams, and human analysts.
↳Validating data models and metrics locally before production deployment.
↳Integrating with existing data orchestration, quality, and transformation tools.
↳Automating semantic layer deployments and synchronization within CI/CD pipelines.
FAQ

FAQ

What is the difference between opik-mcp and bonnard-cli?
Both opik-mcp and bonnard-cli are in the Observability category. opik-mcp has 225 stars, while bonnard-cli has 50 stars.
Which is better, opik-mcp or bonnard-cli?
The best choice depends on your use case. Choose opik-mcp if Query Opik projects and retrieve trace details from chat, and bonnard-cli if Deploying a governed analytics API for AI agents to query metrics programmatically..
Is opik-mcp free or open source?
Yes, opik-mcp is open source on GitHub (Apache-2.0).
Is bonnard-cli free or open source?
Yes, bonnard-cli is open source on GitHub (MIT).
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Alternatives to opik-mcp →Alternatives to bonnard-cli →opik-mcp details →bonnard-cli details →