https://github.com/evalstate/pulse-mcp
https://github.com/evalstate/pulse-mcp
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/evalstate/pulse-mcp
- Owner: evalstate
- Created: 2025-04-10T20:21:17.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-10T21:35:32.000Z (about 1 year ago)
- Last Synced: 2025-07-08T18:10:25.455Z (10 months ago)
- Language: Python
- Size: 78.1 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# 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`](https://docs.astral.sh/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.