AgentIndex icon
AgentIndex
ToolsCategoriesTrendingNewCompare
Submit Tool
Home/
Compare/
opik-mcp vs semble
opik-mcp logo
opik-mcp
★ 206
vs
semble logo
semble
★ 4.5k

opik-mcp vs semble

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.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

opik-mcp logoChoose opik-mcp if…

Query Opik projects and retrieve trace details from chat

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
opik-mcp logoopik-mcp
semble logosemble
Category
Observability
RAG / Knowledge Base
Stars
★ 206
★ 4.5k
License
Apache-2.0
MIT
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
generative-ai, mcp-server, mcp-servers
agents, code-search, embeddings
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
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
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
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

opik-mcp logoopik-mcp
TrendingObservabilityPrompt Engineering
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between opik-mcp and semble?
Both opik-mcp and semble are in the Observability category. opik-mcp has 206 stars, while semble has 4.5k stars.
Which is better, opik-mcp or semble?
The best choice depends on your use case. Choose opik-mcp if Query Opik projects and retrieve trace details from chat, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is opik-mcp free or open source?
Yes, opik-mcp is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to opik-mcp →Alternatives to semble →opik-mcp details →semble details →
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
QYSGitHubBuy me a coffee ☕

Browse by Category

Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.