Mcpbot
What is Mcpbot
mcpbot is an implementation of an MCP client and server, utilizing FastAPI to facilitate communication and data exchange.
Use cases
Use cases for mcpbot include creating chatbots for customer service, managing user interactions in real-time applications, and developing data-driven solutions for information retrieval.
How to use
To use mcpbot, you need to set up the server using FastAPI, configure the necessary endpoints, and interact with the MCP client through the provided API.
Key features
Key features of mcpbot include the ability to gather and store FAQs in a Vector DB, read and write data to the Vector DB, and retrieve chat history in various formats.
Where to use
mcpbot can be used in various fields such as chat applications, customer support systems, and any platform requiring efficient data handling and communication.
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 Mcpbot
mcpbot is an implementation of an MCP client and server, utilizing FastAPI to facilitate communication and data exchange.
Use cases
Use cases for mcpbot include creating chatbots for customer service, managing user interactions in real-time applications, and developing data-driven solutions for information retrieval.
How to use
To use mcpbot, you need to set up the server using FastAPI, configure the necessary endpoints, and interact with the MCP client through the provided API.
Key features
Key features of mcpbot include the ability to gather and store FAQs in a Vector DB, read and write data to the Vector DB, and retrieve chat history in various formats.
Where to use
mcpbot can be used in various fields such as chat applications, customer support systems, and any platform requiring efficient data handling and communication.
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
MCPBot
Documentation: https://gkenios.github.io/mcpbot
An implementation of an MCP client and server, using FastAPI.
To Do
- [ ] Add metadata to the streaming answer.
- [ ] Develop a client-side GUI for the MCP client with ReactJS.
Local
To run locally
- Run
uv sync --group local - In the .env file, set the secrets defined in the
mcpbot/config-local.pyfile - If you have access download the whole
.chromadbfolder this link and place it in the root directory of the project.
Otherwise, create your own vector database using thescripts/create_document.pyscript.
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.
