feat: git merge

README.md

@@ -8,9 +8,57 @@ sdk_version: 5.31.0
 app_file: app.py
 pinned: false
 license: apache-2.0
-short_description: tdb
+tags:
+ - agent-demo-track
+short_description: AI-driven TDAgent to automate threat analysis with MCP tools
+
 ---
 
+# Hackathon Participation: Cybersecurity AI Agents
+
+This project is our contribution to Tracks 1 and 3 of the [Agents-MCP-Hackathon](https://huggingface.co/Agents-MCP-Hackathon), focused on applying AI technologies in the cybersecurity domain. Our aim is to develop solutions that improve the operational efficiency in cybersecurity through automation and data-driven insights.
+
+## Team Overview
+
+Our team is part of the AI division in our company's cybersecurity department. We focus on implementing AI-based solutions to assist cybersecurity operations. Our team members include:
+
+- **Pedro Completo Bento**
+- **Josep Pon Farreny**
+- **Sofia Jeronimo dos Santos**
+- **Rodrigo Dominguez Sanz**
+- **Miguel Rodin**
+
+## Project Goals
+
+We are exploring the application of AI agents to aid cybersecurity analysts in threat data enrichment and threat analysis. Our main goals are:
+
+1. To experiment with agentic technologies like Gradio and MCP.
+2. To explore how AI can improve data enrichment capabilities in threat analysis.
+3. To develop autonomous agents capable of API interaction, data enrichment, and threat evaluation.
+
+## Track 1: MCP Tool / Server
+
+In Track 1, we developed **TDAgentTools**, a Gradio-powered MCP server offering a set of public cybersecurity intelligence tools. This tool is designed to assist cybersecurity professionals in their threat analysis and response tasks.
+
+Access TDAgentTools here: [TDAgentTools Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgentTools)
+
+## Track 3: Agentic Demo Showcase
+
+For Track 3, we created **TDAgent**, an AI agent with a chat interface that connects to MCPs, defaulting to TDAgent MCP. The agent utilizes **TDAgentTools** or other MCP servers to gather additional threat intelligence, providing enriched data for more comprehensive threat evaluations.
+
+## Usage and Purpose
+
+- **TDAgentTools**: Provides cybersecurity professionals with essential analysis tools via a user-friendly interface.
+- **TDAgent**: Facilitates interactive AI-supported threat analysis, enhancing efficiency, by leveraging data from MCP servers for improved insights.
+
+Our work aims to reduce the manual effort involved in threat analysis, allowing cybersecurity teams to focus on strategic activities by utilizing AI for operational tasks.
+
+## Conclusion
+
+This project seeks to demonstrate the practical applications of AI agents in cybersecurity, providing tools and frameworks to improve security operations.
+
+
+
 # TDA Agent
 
 # Development setup
@@ -27,4 +75,4 @@ code _readable_.
 
 ## Old content
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

requirements-dev.txt

@@ -1,8 +1,13 @@
 # This file was autogenerated by uv via the following command:
 #    uv export --format requirements-txt --no-hashes --no-annotate --group dev --group test -o requirements-dev.txt
 aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.9
+aiosignal==1.3.2
 annotated-types==0.7.0
 anyio==4.9.0
+async-timeout==5.0.1 ; python_full_version < '3.11'
+attrs==25.3.0
 audioop-lts==0.2.1 ; python_full_version >= '3.13'
 boolean-py==5.0
 boto3==1.38.27
@@ -23,7 +28,8 @@ exceptiongroup==1.3.0 ; python_full_version < '3.11'
 fastapi==0.115.12
 ffmpy==0.6.0
 filelock==3.18.0
-fsspec==2025.5.1
+frozenlist==1.6.2
+fsspec==2025.3.0
 gradio==5.32.1
 gradio-client==1.10.2
 groovy==0.1.2
@@ -58,6 +64,7 @@ mcp==1.9.0
 mdurl==0.1.2
 mpmath==1.3.0
 msgpack==1.1.0
+multidict==6.4.4
 mypy==1.16.0
 mypy-extensions==1.1.0
 networkx==3.4.2 ; python_full_version < '3.11'
@@ -94,6 +101,7 @@ pip-requirements-parser==32.0.1
 platformdirs==4.3.8
 pluggy==1.6.0
 pre-commit==3.8.0
+propcache==0.3.1
 py-serializable==2.0.0
 pycparser==2.22 ; platform_python_implementation == 'PyPy'
 pydantic==2.11.5
@@ -150,4 +158,5 @@ virtualenv==20.31.2
 websockets==15.0.1
 xdoctest==1.2.0
 xxhash==3.5.0
+yarl==1.20.0
 zstandard==0.23.0

requirements.txt

@@ -1,8 +1,13 @@
 # This file was autogenerated by uv via the following command:
 #    uv export --format requirements-txt --no-hashes --no-annotate --no-dev -o requirements.txt
 aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.9
+aiosignal==1.3.2
 annotated-types==0.7.0
 anyio==4.9.0
+async-timeout==5.0.1 ; python_full_version < '3.11'
+attrs==25.3.0
 audioop-lts==0.2.1 ; python_full_version >= '3.13'
 boto3==1.38.27
 botocore==1.38.27
@@ -17,7 +22,8 @@ exceptiongroup==1.3.0 ; python_full_version < '3.11'
 fastapi==0.115.12
 ffmpy==0.6.0
 filelock==3.18.0
-fsspec==2025.5.1
+frozenlist==1.6.2
+fsspec==2025.3.0
 gradio==5.32.1
 gradio-client==1.10.2
 groovy==0.1.2
@@ -49,6 +55,7 @@ markupsafe==3.0.2
 mcp==1.9.0
 mdurl==0.1.2 ; sys_platform != 'emscripten'
 mpmath==1.3.0
+multidict==6.4.4
 networkx==3.4.2 ; python_full_version < '3.11'
 networkx==3.5 ; python_full_version >= '3.11'
 numpy==1.26.4 ; python_full_version < '3.12'
@@ -74,6 +81,7 @@ packaging==24.2
 pandas==2.2.3
 pillow==11.2.1
 pluggy==1.6.0
+propcache==0.3.1
 pycparser==2.22 ; platform_python_implementation == 'PyPy'
 pydantic==2.11.5
 pydantic-core==2.33.2
@@ -125,4 +133,5 @@ uvicorn==0.34.3 ; sys_platform != 'emscripten'
 websockets==15.0.1
 xdoctest==1.2.0
 xxhash==3.5.0
+yarl==1.20.0
 zstandard==0.23.0