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- EPICS-MCP-Server
Epics Mcp Server
What is Epics Mcp Server
EPICS-MCP-Server is a Python-based server designed to interact with EPICS (Experimental Physics and Industrial Control System) process variables (PVs). It provides tools for retrieving, setting, and fetching detailed information about PVs, making it suitable for integration into larger control systems.
Use cases
Use cases for EPICS-MCP-Server include real-time monitoring of experimental setups, automated control of laboratory equipment, and integration into larger data acquisition systems for research and industrial applications.
How to use
To use EPICS-MCP-Server, first install the required dependencies using ‘pip install -r requirements.txt’. Then, configure the server parameters in your code to point to the server script and ensure EPICS is installed on your local machine.
Key features
Key features of EPICS-MCP-Server include: 1. ‘get_pv_value’ for retrieving PV values, 2. ‘set_pv_value’ for updating PV values, and 3. ‘get_pv_info’ for fetching detailed information about PVs. Each function returns a JSON object indicating success or error.
Where to use
EPICS-MCP-Server is primarily used in environments where EPICS PVs are utilized for monitoring and controlling hardware or software parameters, such as in scientific research facilities, industrial automation, and control systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Epics Mcp Server
EPICS-MCP-Server is a Python-based server designed to interact with EPICS (Experimental Physics and Industrial Control System) process variables (PVs). It provides tools for retrieving, setting, and fetching detailed information about PVs, making it suitable for integration into larger control systems.
Use cases
Use cases for EPICS-MCP-Server include real-time monitoring of experimental setups, automated control of laboratory equipment, and integration into larger data acquisition systems for research and industrial applications.
How to use
To use EPICS-MCP-Server, first install the required dependencies using ‘pip install -r requirements.txt’. Then, configure the server parameters in your code to point to the server script and ensure EPICS is installed on your local machine.
Key features
Key features of EPICS-MCP-Server include: 1. ‘get_pv_value’ for retrieving PV values, 2. ‘set_pv_value’ for updating PV values, and 3. ‘get_pv_info’ for fetching detailed information about PVs. Each function returns a JSON object indicating success or error.
Where to use
EPICS-MCP-Server is primarily used in environments where EPICS PVs are utilized for monitoring and controlling hardware or software parameters, such as in scientific research facilities, industrial automation, and control systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
EPICS-MCP-Server
Overview
-
The EPICS MCP Server is a Python-based server designed to interact with EPICS (Experimental Physics and Industrial Control System) process variables (PVs). It provides a set of tools to retrieve PV values, set PV values, and fetch detailed information about PVs. The server is built
using the mcp framework and communicates over stdio, making it suitable for integration into larger control systems or workflows. -
This tool is particularly useful in environments where EPICS PVs are used for monitoring and controlling hardware or software parameters.
Features
- The EPICS MCP Server provides the following tools:
-
get_pv_value
- Create or update a single file in a repository
- Inputs:
pv_name(string): The name of the PV variable.
- Returns: A JSON object containing the status (
successorerror) and the retrieved value or an error message.
-
set_pv_value
- Set a new value for a specified PV.
- Inputs:
pv_name(string): The name of the PV variable.pv_value(string): The new value to be set for the PV.
- Returns: A JSON object containing the status (
successorerror) and a confirmation message or an error message.
-
get_pv_info
- Fetches detailed information about a specified PV.
- Inputs:
pv_name(string): The name of the PV variable.
- Returns: A JSON object containing the status (
successorerror) and the detailed information about the PV or an error message.
Usage with Langchain
- To use this with Langchain, you must install the dependencies required for the project.
pip install -r requirements.txt
-
Langchain
server_params = StdioServerParameters(
command="python",
# Make sure to update to the full absolute path to your math_server.py file
args=["/path/server.py"],
)
-
EPICS
- Before using the EPCIS mcp server, you must successfully install EPCIS on your local machine, ensure that IOC can start normally, and verify that functions such as
caget,caput, andcainfoare working properly. For detailed installation instructions, please refer to https://epics-controls.org/resources-and-support/base/.
jiangyan@DESKTOP-84CO9VB:~$ softIoc -d ~/EPICS/DB/test.db
Starting iocInit
############################################################################
## EPICS R7.0.8
## Rev. 2025-02-13T14:29+0800
## Rev. Date build date/time:
############################################################################
iocRun: All initialization complete
epics>
jiangyan@DESKTOP-84CO9VB:~$ caget temperature:water
temperature:water 88
jiangyan@DESKTOP-84CO9VB:~$ caput temperature:water 100
Old : temperature:water 88
New : temperature:water 100
jiangyan@DESKTOP-84CO9VB:~$ cainfo temperature:water
temperature:water
State: connected
Host: 127.0.0.1:5056
Access: read, write
Native data type: DBF_DOUBLE
Request type: DBR_DOUBLE
Element count: 1
Test Result
- Mcp client:
async def run():
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
# Initialize the connection
await session.initialize()
# Get tools
tools = await load_mcp_tools(session)
# Create and run the agent
agent = create_react_agent(model, tools)
agent_response = await agent.ainvoke({"messages": "To query the value of a PV (Process Variable) named temperature:water"})
return agent_response
)
- Result:
================================[1m Human Message [0m=================================
To query the value of a PV (Process Variable) named temperature:water
==================================[1m Ai Message [0m==================================
Tool Calls:
get_pv_value (call_vvbXwi51CyYUxEM0hcyvCFCY)
Call ID: call_vvbXwi51CyYUxEM0hcyvCFCY
Args:
pv_name: temperature:water
=================================[1m Tool Message [0m=================================
Name: get_pv_value
{
"status": "success",
"value": 88.0
}
==================================[1m Ai Message [0m==================================
The current value of the PV named `temperature:water` is 88.0.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










