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onetool-mcp vs mcp-apache-spark-history-server
onetool-mcp logo
onetool-mcp
★ 19
vs
mcp-apache-spark-history-server logo
mcp-apache-spark-history-server
★ 173

onetool-mcp vs mcp-apache-spark-history-server

onetool-mcp: OneTool MCP is a single MCP server that bundles 100+ tools — Brave search, Google, Context7, AWS, Playwright, Chrome DevTools, Excel, database operations, and more. Instead of registering each tool individually and burning context on their definitions, agents write short Python code to call any tool on demand. Anthropic engineering research backs this approach: code execution reduces token usage by over 98%, cutting costs dramatically when agents need many external tools.; mcp-apache-spark-history-server: The Kubeflow Spark History MCP Server bridges AI agents with Apache Spark infrastructure, enabling intelligent job analysis, performance monitoring, and failure investigation. It provides 18 specialized MCP tools for querying Spark History Server data, supporting multi-server configurations and AWS integrations.

01

TL;DR

onetool-mcp logoChoose onetool-mcp if…

Cutting MCP token overhead when an agent needs 10+ external tools

mcp-apache-spark-history-server logoChoose mcp-apache-spark-history-server if…

Investigate why a Spark job is running slower than usual

02

Side-by-Side Comparison

Field
onetool-mcp logoonetool-mcp
mcp-apache-spark-history-server logomcp-apache-spark-history-server
Category
API Integration
Dev Tooling
Stars
★ 19
★ 173
License
GPL-3.0
Apache-2.0
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
claude, claude-code, llm
apache-spark, big-data, data-processing
03

Features

onetool-mcp logoonetool-mcp
01100+ tools in one MCP server: search, AWS, Playwright, databases, Excel, and more
02Code mode: agents write Python API calls instead of loading tool definitions
0396% fewer tokens vs loading individual MCP servers
04Works with Claude Code or any MCP-compatible client
05uv-based install with optional tool groups
mcp-apache-spark-history-server logomcp-apache-spark-history-server
01Natural language query of Spark job details
02Performance metrics analysis across applications
03Cross-job comparison for regression detection
04Failure investigation with detailed error analysis
05Multi-server and multi-environment support
04

Use Cases

onetool-mcp logoonetool-mcp
↳Cutting MCP token overhead when an agent needs 10+ external tools
↳Browser automation and web scraping within a unified MCP setup
↳Database queries, file operations, and API calls from one MCP server
mcp-apache-spark-history-server logomcp-apache-spark-history-server
↳Investigate why a Spark job is running slower than usual
↳Analyze root cause of job failures
↳Compare performance of current and previous job runs
05

Best For

onetool-mcp logoonetool-mcp
Hidden GemEssential
mcp-apache-spark-history-server logomcp-apache-spark-history-server
TrendingLLM Infra
FAQ

FAQ

What is the difference between onetool-mcp and mcp-apache-spark-history-server?
Both onetool-mcp and mcp-apache-spark-history-server are in the API Integration category. onetool-mcp has 19 stars, while mcp-apache-spark-history-server has 173 stars.
Which is better, onetool-mcp or mcp-apache-spark-history-server?
The best choice depends on your use case. Choose onetool-mcp if Cutting MCP token overhead when an agent needs 10+ external tools, and mcp-apache-spark-history-server if Investigate why a Spark job is running slower than usual.
Is onetool-mcp free or open source?
Yes, onetool-mcp is open source on GitHub (GPL-3.0).
Is mcp-apache-spark-history-server free or open source?
Yes, mcp-apache-spark-history-server is open source on GitHub (Apache-2.0).
→

Related

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