How should arvo-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

arvo-mcp answer-first brief

Official MCP server for Arvo - AI workout coach. Access your training data through Claude Desktop, Cursor, and other MCP clients. 🤖 arvo-mcp - Connect Your Trainer and Data Seamlessly 🚀 Getting Started Welcome to the **arvo-mcp** repository! This application is designed to connect your Claude Desktop app to training data collected by Arvo AI Personal Trainer. With **arvo-mcp**, you can easily track your workouts, manage your exercise logs, and reach your fitness goals. 📥 Download & Install To get started, you need to download the latest rele Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

arvo-mcp is best for mcp, model-context-protocol, fitness workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

arvo-mcp

MCPself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Arvo

Artifacts

Benchmarks

Last release

1.0.2

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source Homepage

Setup snapshot

git clone https://github.com/ANGEL37391/arvo-mcp.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Arvo

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

MCP

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

🤖 arvo-mcp - Connect Your Trainer and Data Seamlessly

Download

🚀 Getting Started

Welcome to the arvo-mcp repository! This application is designed to connect your Claude Desktop app to training data collected by Arvo AI Personal Trainer. With arvo-mcp, you can easily track your workouts, manage your exercise logs, and reach your fitness goals.

📥 Download & Install

To get started, you need to download the latest release of the application:

Visit the Releases page to download the latest version: Download Here.
Choose the file suitable for your operating system.
After the download completes, open the file to install the application on your computer.

Follow the prompts in the installation wizard. Once the installation finishes, you are ready to launch the application.

⚙️ System Requirements

Before you download, please ensure your system meets these requirements:

Operating System: Windows 10 or later / macOS 10.15 or later
RAM: 4 GB minimum
Disk Space: At least 200 MB of free space
Internet Connection: For syncing your fitness data

📊 Features

arvo-mcp offers several features to enhance your fitness journey:

Workout Tracking: Log your exercises and monitor your progress.
Personal Records: Keep track of your best lifts and runs.
Flexible Training Splits: Customize your workouts to fit your schedule.
Analytics: Receive insights on your training data to improve your performance.

🔧 How to Use

Launch the Application: After installation, open the arvo-mcp app.
Connect to Claude Desktop: Follow the instructions to link your Claude Desktop app. This allows data syncing for a personalized experience.
Log Your Workouts: Start entering your workouts, add new exercises, and note your progress.
Review Your Records: Check your statistics and personal records to stay motivated.

🎓 Support and Help

If you need assistance, you can find helpful resources:

User Guide: A detailed guide is available in the application to help you navigate through features.
FAQ: Common questions and troubleshooting tips are listed on the GitHub Wiki page.
Community Support: Join our community discussions on platforms like Discord and Reddit.

🌟 Community and Contributions

We appreciate contributions from the community! If you want to help improve arvo-mcp, consider the following:

Report any issues you find.
Suggest features that might enhance user experience.
Contribute code if you are familiar with programming.

🔗 Additional Resources

Website: Visit the official website for more information and updates.
Documentation: Access comprehensive documentation for installation and usage.

For now, enjoy your fitness journey with arvo-mcp, and remember to download the application to get started on tracking your workouts effectively: Download Here.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T06:29:55.396Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "fitness",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "workout",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-coaching",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cursor",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "typescript",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "personal-trainer",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "workout-tracker",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-assistant",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "llm-integration",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "fitness-tracking",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "workout-planning",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "exercise-api",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "training-data",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude-integration",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "health-data",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-tools",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile capability:mcp|supported|profile capability:model-context-protocol|supported|profile capability:fitness|supported|profile capability:workout|supported|profile capability:ai-coaching|supported|profile capability:claude|supported|profile capability:cursor|supported|profile capability:typescript|supported|profile capability:personal-trainer|supported|profile capability:workout-tracker|supported|profile capability:ai-assistant|supported|profile capability:llm-integration|supported|profile capability:fitness-tracking|supported|profile capability:workout-planning|supported|profile capability:exercise-api|supported|profile capability:training-data|supported|profile capability:claude-integration|supported|profile capability:health-data|supported|profile capability:ai-tools|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Arvo",
    "href": "https://arvo.guru",
    "sourceUrl": "https://arvo.guru",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:31:48.611Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:31:48.611Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-angel37391-arvo-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]