what is ToolChat?
ToolChat is a chat application that allows users to interact with AI models using MCP (Model Context Protocol) server tools.
how to use ToolChat?
To use ToolChat, run the command uv run toolchat --model gpt-4o-mini --tools tools.yml.sample after configuring your MCP tool servers in a YAML file.
key features of ToolChat?
- Chat with various AI models using MCP servers.
- Easy configuration through YAML files.
- Supports multiple AI tools and models.
use cases of ToolChat?
- Engaging in conversations with AI for various applications.
- Testing and deploying AI models in a chat environment.
- Integrating multiple AI tools for enhanced functionality.
FAQ from ToolChat?
- What is MCP?
MCP stands for Model Context Protocol, which allows for the integration of various AI tools and models in a chat format.
- Is ToolChat free to use?
Yes! ToolChat is open-source and free to use.
- Can I add my own AI models?
Yes! You can configure your own models in the YAML file.
ToolChat
Chat with LLMs using MCP servers.
Configure MCP tool servers in a YAML file and provide path to --tool-servers,
enable specific tools with --enable-tool-server.
See sample-tools.yml for format.
If the model is multimodal you can also include images, documents etc. in your prompt.
See the /help command for details.
Example
Use AWS documentation tool with Gemini Pro 2.5 to search AWS docs:
$ uv run toolchat --model google-gla:gemini-2.5-pro-exp-03-25 --tool-servers sample-tools.yml --enable-tool-server awslabs.aws-documentation-mcp-server
ToolChat - Ctrl-D or /quit to quit
Enter /multi to enter and exit multiline mode, /help for more commands
> look up documentation on S3 bucket naming rule. cite your sources
Okay, I can help with that. I will search for the S3 bucket naming rules
documentation and provide a summary along with the source URL.
Tool search_documentation {'search_phrase': 'S3 bucket naming rules', 'limit': 1}
Okay, I found a relevant document. I will now read the content to summarize the
S3 bucket naming rules.
Tool read_documentation {'url': 'https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html'}
Okay, here is a summary of the naming rules for Amazon S3 general purpose
buckets, based on the official AWS documentation:
S3 General Purpose Bucket Naming Rules:
• Length: Must be between 3 and 63 characters long.
• Characters: Can only contain lowercase letters (a-z), numbers (0-9), periods
(.), and hyphens (-).
• Start/End: Must begin and end with a letter or number.
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