What is the kitaru MCP server?

zenml-io/kitaru — Agent traces you can run, not just read. AgentRank score: 86.9/100.

Is the kitaru MCP server actively maintained?

The kitaru MCP server was last committed today and has 16 contributors. Issue health: 85% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

kitaru MCP Server

Name: zenml-io/kitaru
Rating: 4.5 (1 reviews)
Author: zenml-io

zenml-io/kitaru

Score: 86.9 → 0.3% Rank #614 Monitoring

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Overview

zenml-io/kitaru is a Python tool licensed under Apache-2.0. Agent traces you can run, not just read. Topics: ai-agents, checkpoints, durable-execution, llm, mcp, mlops, observability, pydantic, pydantic-ai, python, replay, agent, agent-orchestration, agentic-ai, agents.

Ranked #614 out of 24844 indexed tools.

In the top 3% of all indexed tools.

Has 16 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0 2,169 pypi/wk

ai-agentscheckpointsdurable-executionllmmcpmlopsobservabilitypydanticpydantic-aipythonreplayagentagent-orchestrationagentic-aiagents

Score Breakdown

Stars 15% 301

301 stars → growing community

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 85%

248/291 issues closed → responsive maintainer

Contributors 10% 16

16 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 2,169/wk

2,169 weekly installs → gaining traction

Forks 25

Description Brief

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Markdown

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Details

Stars: 301
Forks: 25
Open Issues: 43
Closed Issues: 248
Contributors: 16
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: today

Matched Queries

topic:mcp

From the README

<p align="center">
  <a href="https://docs.zenml.io/kitaru">
    
  </a>
</p>

<h3 align="center">Traces you can run, not just read.</h3>

<p align="center">
  Kitaru (来る, "to arrive") gives you replay-based evals for AI agents. Record or import production runs as sessions, replay them against your next model, prompt, or code change, and see what improved and what broke before you ship. Open source, self-hosted, Python and TypeScript. From the team behind <a href="https://zenml.io">ZenML</a>.
</p>

<p align="center">
  <a href="https://pypi.org/project/kitaru/"></a>
  <a href="https://pypi.org/project/kitaru/"></a>
  <a href="https://github.com/zenml-io/kitaru/blob/main/LICENSE"></a>
</p>

<p align="center">
  <a href="https://docs.zenml.io/kitaru">Docs</a> &middot;
  <a href="https://youtu.be/aYLfzXEr2Rk">Guided Tour</a> &middot;
  <a href="#-get-started">Get Started</a> &middot;
  <a href="https://www.zenml.io/roadmap">Roadmap</a> &middot;
  <a href="https://kitaru.ai/slack">Communit

Read full README on GitHub →

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