LIVE
Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|Google's AI gives evasive answers about who won the 2020 US election28/10/26 · Google|NVIDIA introduces Nemotron 3.5 Transcribe, a promptable multilingual transcription model28/10/26 · NVIDIA|OpenAI and ServiceNow deepen partnership on enterprise workflows28/10/26 · OpenAI|Failed startups' data finds a second life training AI models28/10/26|Anthropic expands AI for Science program to 20 foundations and research institutions28/10/26 · Anthropic|Anthropic shares early results on using Claude to accelerate drug development27/10/26 · Anthropic|GEPA-Curator: Filtering Failures to Better Train LLM Agents27/10/26|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|Google's AI gives evasive answers about who won the 2020 US election28/10/26 · Google|NVIDIA introduces Nemotron 3.5 Transcribe, a promptable multilingual transcription model28/10/26 · NVIDIA|OpenAI and ServiceNow deepen partnership on enterprise workflows28/10/26 · OpenAI|Failed startups' data finds a second life training AI models28/10/26|Anthropic expands AI for Science program to 20 foundations and research institutions28/10/26 · Anthropic|Anthropic shares early results on using Claude to accelerate drug development27/10/26 · Anthropic|GEPA-Curator: Filtering Failures to Better Train LLM Agents27/10/26|
Toolofficial publisher

Tools CrewAI

Tool : A precise action the AI can call · requires crewai

Ready-to-use tool catalogue for CrewAI agent teams.

Handy to get started, but each tool should be audited individually.

Overall score
6.5 /10
Security: one caveat, see the card
Utility
7.0
Reliability
6.0
Security
One caveat
Ease
5 min · Technical

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Building an AI agent capable of acting on files, websites, or databases requires assembling many technical components from scratch. Tools CrewAI addresses this by offering a catalogue of more than 40 ready-to-use tools, covering document reading, web search, database queries, and many other use cases.

In practice, each tool is imported from the crewai_tools Python package and added to a CrewAI agent's tools list. The required API keys must then be configured depending on the chosen tool. Some tools also allow limiting the number of uses via the max_usage_count parameter, which helps control costs or external API calls.

This catalogue is aimed at Python developers building agent teams with the CrewAI framework who want to avoid recoding common connectors. Non-technical profiles or those working outside the CrewAI ecosystem will not benefit from it directly.

Each tool should be evaluated individually before being used in production, particularly to check what data it sends to third-party services and which API keys it requires.

What it offers

  • ·More than 40 ready-to-use tools covering a wide range of categories: files, web, databases, AI, cloud, and automation.
  • ·Reading and writing files in many formats: PDF, DOCX, JSON, CSV, and others.
  • ·Web content extraction and browser automation via tools such as Firecrawl and Selenium.
  • ·Web and code repository search through integrations like Serper Dev.
  • ·Connection to SQL databases and data warehouses: MySQL, PostgreSQL, Snowflake, Qdrant, Weaviate.
  • ·Image generation with DALL-E, Python code execution via a built-in interpreter, and RAG system construction.
  • ·Access to cloud services such as AWS S3 and Amazon Bedrock.
  • ·Limiting the number of calls per tool using the max_usage_count parameter.

In practice

Price
Free
Commercial use
Commercial use: yes
Available on
sdk-python
Host
crewai
Licence
MIT
FR interface
No

Security and data

Rating
Security: one caveat, see the card
Capabilities
readswritesexecutesnetwork
Your data
Local or cloud depending on use
Maintenance
Active

Links and repository checked on 25 October 2026 · added on 1 January 2024

How to install Tools CrewAI

1. Make sure Python is installed and you have an existing CrewAI project. 2. Install the crewai_tools package via pip: pip install crewai-tools 3. In your configuration file, import the desired tools: from crewai_tools import FileReadTool, SerperDevTool 4. Add the tools to your CrewAI agent's tools list. 5. Configure the API keys required by each tool (environment variables are recommended; do not hard-code them). 6. Test each tool individually before integrating it into an agent team.
pip install crewai-tools

Official documentation ↗

In the same category

Whole category Orchestrate →