Pulse Mcp
What is Pulse Mcp
pulse-mcp is a demo repository designed to showcase the capabilities of fast-agent and pulse-mcp, focusing on prompts and multimodal routing functionalities.
Use cases
Use cases for pulse-mcp include creating intelligent agents that respond to visual inputs, generating resources based on user prompts, and integrating with home automation systems to enhance user experience.
How to use
To use pulse-mcp, install the ‘uv’ package manager and run ‘uv pip install fast-agent-mcp’. Update the ‘fastagent.secrets.yaml’ file with your API keys, and execute the agents using ‘uv run agent.py’.
Key features
Key features of pulse-mcp include context learning through MCP prompts, dynamic resource generation via resource sampling, and multimodal routing that integrates vision sampling for agent decision-making.
Where to use
pulse-mcp can be utilized in various fields such as AI development, interactive applications, and smart home systems, where multimodal interactions and dynamic responses are essential.
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 Pulse Mcp
pulse-mcp is a demo repository designed to showcase the capabilities of fast-agent and pulse-mcp, focusing on prompts and multimodal routing functionalities.
Use cases
Use cases for pulse-mcp include creating intelligent agents that respond to visual inputs, generating resources based on user prompts, and integrating with home automation systems to enhance user experience.
How to use
To use pulse-mcp, install the ‘uv’ package manager and run ‘uv pip install fast-agent-mcp’. Update the ‘fastagent.secrets.yaml’ file with your API keys, and execute the agents using ‘uv run agent.py’.
Key features
Key features of pulse-mcp include context learning through MCP prompts, dynamic resource generation via resource sampling, and multimodal routing that integrates vision sampling for agent decision-making.
Where to use
pulse-mcp can be utilized in various fields such as AI development, interactive applications, and smart home systems, where multimodal interactions and dynamic responses are essential.
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
fast-agent x pulse-mcp demo
Video
This repository contains the fast-agent source files used in the pulse-mcp demo.
To run the examples, install the uv package manager then
uv pip install fast-agent-mcp
Update the fastagent.secrets.yaml with your API Keys. Run agents with uv run agent.py.
0.new-agent
These files are created with the fast-agent setup and fast-agent bootstrap workflow commands.
1.prompts
A demonstration of MCP Prompts and Resources showing in context learning and a PDF Resource being returned within a prompt. fast-agent’s built in prompt-server is used to deliver the prompts to the agent.
2. resource-sampling
An example of a sampling being used to generate a dynamic resource (resource templating).
3. multimodal-routing
Example of vision sampling via mcp-webcam, as well as the use of vision to make agent routing decisions. MCP Webcam, Home Assistant and Hugging Face Spaces Servers are used in the demonstration.
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.
