Integrates with Hugging Face MTEB leaderboard for embedding and model evaluation capabilities.
Provides foundational framework capabilities for building and operating the agent system.
Provides graph-based workflow orchestration for TCG-TE LNR agents with graph-guided MCP tools.
Provides LLM provider capabilities for driving TCG-TE and NPG-TE pattern agents with GPT models including GPT-4o, GPT-4.1, and GPT-5.
Provides PyTorch Geometric capabilities for graph-based agent operations and processing.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@LNR-server-03-critical-facility-identification identify critical facilities in Shelby County's power grid"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The data and resources are updated as highlightedπ¨ below.
Related MCP server: Python MCP Server
Some figures are available for public now:
β οΈ As the paper is under review, all contents in this repository are currently not permitted for reuse by anyone until this announcement is removed. Thank you for your understanding! π
This repository contains the complete implementation, experimental data, and supplementary results for the paper ΓΓΓ developed by XXX University in China, and .
Pending publication, the code is shared under a restrictive license. Once the paper is accepted, the repository will transition to a MIT license. Please contact the corresponding author for any inquiries regarding academic use during the review period.
βββ A demonstration of using the developed prototype to operate the TCG-TE LNR agents using graph-guided MCP tools
The full video could be found here
βββ A demonstration of using the developed prototype to integrate a new MCP server to TCG-TE LNR agents
The full video could be found here
βββ A snippet of the operation of NPG-TE (ReAct) agent with discrete MCP tools driven by GPT-5.
βββ A screenshot of Agent's response
The full video can be found here
βββ A snippet of the operation of NPG-TE (ReAct) agents with discrete MCP tools driven by GPT-4o.
βββ A screenshot of Agent's response
The full video can be found here
βββ A snippet of the operation of NPG-TE (GoT) agent with discrete MCP tools driven by GPT-5.
The full video can be found here
βββ A snippet of the operation of NPG-TE (GoT) agent with discrete MCP tools driven by Deepseek-V3.
The full video can be found here
βββ A snippet of the operation of NPG-TE (PE) agent with discrete MCP tools driven by GPT-4o.
The full video can be found here
βββ A snippet of the operation of TCG-TE agents with graph-guided MCP tools driven by Claude sonnet 3.7.
The full video can be found here
βββ A snippet of the operation of TCG-TE agents with graph-guided MCP tools driven by GPT-4.1.
βββ A screenshot of Agent's response
The full video can be found here
This work heavily relies on excellent open-source projects, including but not limited to:
LangGraph & LangChain
Hugging Face MTEB leaderboard
NetworkX, PyTorch Geometric, and numerous LLM providers (OpenAI, Anthropic, Qwen, Llama, etc.)
We are deeply grateful to all contributors of these foundational work.
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If you are the server author, to access and configure the admin panel.
Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
This MCP server enables users to perform scientific computations regarding linear algebra and vectβ¦
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