Model Context Protocol (MCP)
Anthropic's open standard for connecting AI systems to external tools and data sources.
Overview
The Model Context Protocol is an open standard that defines how AI applications connect to tools, data sources, and services through MCP servers. It has become the dominant pattern for giving agents capabilities (including onchain capabilities) and underpins a fast-growing ecosystem of crypto MCP servers.
Sato Score
83/100· HighHow open, active & verifiable — not a safety or returns grade.
- Maintenance & liveness
- 35/35
- Code transparency
- 16/20
- Interface verifiability
- 8/10
- Docs & demo
- 6/10
- Listing transparency & provenance
- 13/15
- Independent verification
- 5/10
Observed record — 57 daily checks since 2026-07-14
- Succeeded
- 57
- Failed
- 0
- Their error
- 0
- Unattributed
- 0
This is the share of our daily checks that succeeded — not an availability guarantee. A check can fail because the host was down, because our runner timed out, or because the network in between dropped it, and only the first of those is a fact about this project. Failures are split by what we can attribute; anything we cannot attribute is counted, not hidden. 49 of these checks predate 2026-09-01, when the probe counted a bot-block (HTTP 403) as a failure and recorded no reason for any failure. Rates spanning that date mix two definitions. Since then: 100%.
Last 30 days — to 2026-09-09, one point per UTC day
A gap is a day we have no attributable observation — never a zero. Thirty points is the whole shape the free layer carries; the daily rows behind it stay in the snapshot series.
Details
- Chains
- Unknown
- Agent types
- Protocol, Standard
- Open source
- Yes
- Pricing
- Free / open standard
- Deploys as
- Self-hosted, Hosted, MCP serverfrom project docs · 2026-06-25
- Works with
- Claude, ChatGPTfrom project docs · 2026-06-25
- Last checked
- 2026-09-08
Marketplace Signals
No marketplace signals recorded for this resource yet.
Verification status reflects evidence reviewed by Sato Hub. Self-reported claims are never presented as verified.
Where Model Context Protocol (MCP) fits
Related concepts: How Agents Interact With Smart Contracts, How Agents Use Wallets, What Are MCPs? The Standard Way to Give Agents Tools
Recent Activity
All news →Releases and posts from Model Context Protocol (MCP), pulled from its GitHub and X.
Checking that a major mathematical proof is correct can take years. Formalization—converting the mathematical reasoning into a form computer proof assistants like Lean can verify—can help. Last month,
Checking that a major mathematical proof is correct can take years. Formalization—converting the mathematical reasoning into a form computer proof assistants like Lean can verify—can help. Last month, Claude completed the first formalized proof of Fermat’s Last Theorem, one of the most famous theorems of all time. This was a project experts thought would take many years. It is the largest Lean pro
New research: Training a Misaligned Reward Seeker What produces severe misalignment? We’ve long been concerned that cheating during training—otherwise known as reward-hacking—might teach a model to pu
New research: Training a Misaligned Reward Seeker What produces severe misalignment? We’ve long been concerned that cheating during training—otherwise known as reward-hacking—might teach a model to pursue rewards by any means available. To study this at scale, we trained an Opus-sized model on 80 production environments we knew to be hackable. In simulated evals, it engaged in unauthorized cyberat
We’re sharing an update on our alignment and security efforts. In July, we reported three incidents in which Claude models, running without safeguards in cybersecurity evaluations, gained unauthorized
We’re sharing an update on our alignment and security efforts. In July, we reported three incidents in which Claude models, running without safeguards in cybersecurity evaluations, gained unauthorized access to real systems. In a new post, we describe: 1. How we’ve secured our evaluation and training environments, and practices we've asked external partners to adopt when testing pre-release models
New Fellows Research: Can Claude autonomously align other AIs? We gave Claude 48 hours and 1 GPU to improve the alignment of small models. It researched and proposed methods, then trained and tested t
New Fellows Research: Can Claude autonomously align other AIs? We gave Claude 48 hours and 1 GPU to improve the alignment of small models. It researched and proposed methods, then trained and tested the models on its own. It worked surprisingly well. https://t.co/nhlCMgQl46
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advance
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. Read more: https://t.co/XQ2y9EW7Af https://t.co/kgyCvZ6iYc
For the first time, we’ve given external researchers a way to study AI’s impacts using real, privacy-preserved Claude usage data. To date, this work has only been possible within AI labs. We can’t tel
For the first time, we’ve given external researchers a way to study AI’s impacts using real, privacy-preserved Claude usage data. To date, this work has only been possible within AI labs. We can’t tell the whole story alone, so we opened up our tools. https://t.co/suLJcARAu1
Listing History
Recorded changes to Model Context Protocol (MCP)'s listing — status, verification, Sato Score, and recent releases. Full history is kept in the listing record.
- Jun 25, 2026Enriched: agent type, supported integrations, deployment options, tags
- Jun 25, 2026Sato Score tier: Medium → HighScore 69 → 76.
- Jun 11, 2026Sato Hub began tracking this listing
Related Resources
Coinbase AgentKit
ActiveCoinbase's toolkit for giving AI agents wallets and the ability to take onchain actions.
Hyperliquid
ActiveOnchain perpetual futures and spot DEX running on its own L1 with an HyperEVM smart-contract layer.
ElizaOS
ActiveOpen-source TypeScript framework for building crypto-native multi-agent systems.
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Sato Hub. "Model Context Protocol (MCP) — Sato Hub." Sato Hub, updated 2026-09-08, accessed 2026-09-09. https://satohub.ai/resources/model-context-protocolThis page is refreshed daily. Citations include the date so a reader can tell which snapshot a claim came from.
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