activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Crawler Summary
Build a workflow using CrewAI tools to scrape the content from the docs and then perform RAG on it. CrewAI-Doc-Search-Tool Build a workflow using CrewAI tools to scrape the content from the documents and then perform RAG on it. Star this repository if you find it valuable! Installation We need to write the code that will make the tool work. Before we begin, let’s install the crewai-tools and crewai packages using pip pip install crewai-tools crewai. Make sure virtual environment is created and activated if you are Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
CrewAI-Doc-Search-Tool 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 REPOS, runtime-metrics, public facts pack
Build a workflow using CrewAI tools to scrape the content from the docs and then perform RAG on it. CrewAI-Doc-Search-Tool Build a workflow using CrewAI tools to scrape the content from the documents and then perform RAG on it. Star this repository if you find it valuable! Installation We need to write the code that will make the tool work. Before we begin, let’s install the crewai-tools and crewai packages using pip pip install crewai-tools crewai. Make sure virtual environment is created and activated if you are
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Manulthanura
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Unpublished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. Last updated 2/25/2026.
Setup snapshot
Setup 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
Manulthanura
Protocol compatibility
OpenClaw
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
0
Snippets
0
Languages
python
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Build a workflow using CrewAI tools to scrape the content from the docs and then perform RAG on it. CrewAI-Doc-Search-Tool Build a workflow using CrewAI tools to scrape the content from the documents and then perform RAG on it. Star this repository if you find it valuable! Installation We need to write the code that will make the tool work. Before we begin, let’s install the crewai-tools and crewai packages using pip pip install crewai-tools crewai. Make sure virtual environment is created and activated if you are
Build a workflow using CrewAI tools to scrape the content from the documents and then perform RAG on it. Star this repository if you find it valuable!
We need to write the code that will make the tool work. Before we begin, let’s install the crewai-tools and crewai packages using pip pip install crewai-tools crewai. Make sure virtual environment is created and activated if you are using one. Refer Virtual Environments for more details.
In this stage we will create a basic question-answering chatbot using CrewAI. The bot uses a LLM model to provide accurate and concise answers to user questions. This foundational stage establishes the core agent and task structure that will be expanded in later stages with web scraping and RAG capabilities.
Example code for this stage is available in the stage1.py file and can be run using the command python stage1.py.

In this stage, we will enhance the chatbot by incorporating Retrieval-Augmented Generation (RAG) capabilities. This allows the bot to retrieve relevant information from documents and use it to generate more accurate and context-aware responses. A vector database is automatically created with chromadb to store the document embeddings, enabling efficient retrieval of relevant information.
Example code for this stage is available in the stage2.py file and can be run using the command python stage2.py.

Here we create a custom tool that performs basic arithmetic operations like addition, subtraction, and multiplication. The tool is integrated into the CrewAI framework, allowing the agent to use it for calculations. This stage demonstrates how to create and use custom tools within CrewAI, enhancing the agent's capabilities beyond simple question answering.
Example code for this stage is available in the stage3.py file and can be run using the command python stage3.py.

This project showcases the capabilities of CrewAI in building intelligent agents that can perform complex tasks such as document retrieval, question answering, and custom tool integration. Each stage builds upon the previous one, demonstrating the flexibility and power of the CrewAI framework for creating advanced AI applications.
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-manulthanura-crewai-doc-search-tool/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/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.
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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-manulthanura-crewai-doc-search-tool/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T04:10:52.641Z"
}
},
"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": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on 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
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Manulthanura",
"href": "https://github.com/manulthanura/CrewAI-Doc-Search-Tool",
"sourceUrl": "https://github.com/manulthanura/CrewAI-Doc-Search-Tool",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T05:07:14.487Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T05:07:14.487Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-manulthanura-crewai-doc-search-tool/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · 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
}
]Sponsored
Ads related to CrewAI-Doc-Search-Tool and adjacent AI workflows.