MCP-Universe
Benchmark and framework that tests models and agents on tasks using real-world MCP servers.
Reference by Salesforce AI Research
Chalk Labs
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About
Use cases: llm-evaluation
Reviews
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About the benchmark
- Benchmark site
- mcp-universe.github.io/
- Maintainer
- Salesforce AI Researchmcp-universe.github.io
- Launched
- 2025-08arxiv.org
- Leaderboard
- mcp-universe.github.io/
We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.
Signals
- Stars
- 602
- Forks
- 88
- Open issues
- 18
- Last commit
- Oct 8, 2026 (23 days ago)
- Last release
- Mar 25, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Website
- mcp-universe.github.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
MCP-Universe benchmark. Agent Mart. https://agentmart.dev/reference/mcp-universe (last updated 2026-10-24)