SillyTavern MCP Server is a custom extension for the chat application SillyTavern. It adds WebSocket-based tool execution support, allowing external tools to be registered and executed through a standardized interface. Key features include real-time communication via WebSocket server, tool registration and execution system, JSON Schema validation, real-time execution status updates, configurable logging, and a web-based settings UI integrated into SillyTavern.
The SillyTavern MCP Server enhances SillyTavern by enabling seamless integration of external tools. This allows users to extend the functionality of their chat applications with custom tools that can be registered and executed in real time. The standardized interface ensures smooth communication between tools and the main application, making it ideal for developers looking to build modular and scalable solutions.
SillyTavern MCP Server was developed by DAK and is maintained under the repository CG-Labs/SillyTavern-MCP-Extension on GitHub.
SillyTavern MCP Server can be installed either via the SillyTavern web interface (recommended) or manually by cloning the repository into the SillyTavern plugins directory. After installation, it integrates directly into the SillyTavern application and can be configured through its web-based settings UI.
You should use SillyTavern MCP Server when you need to enhance your SillyTavern instance with external tools or custom functionalities. It's particularly useful for developers who want to create, register, and execute tools dynamically using WebSocket-based real-time communication.
To register a tool, send a WebSocket message with the type 'register_tool' and include the tool's name and schema. Example: { 'type': 'register_tool', 'data': { 'name': 'example_tool', 'schema': { ... } } }.
You can configure WebSocket port number (default: 5005), log level (debug, info, warn, error), and other parameters through the SillyTavern UI under Settings > Extensions > MCP Extension.
To execute a registered tool, send a WebSocket message with the type 'execute_tool', providing the tool's name, unique execution ID, and arguments. Example: { 'type': 'execute_tool', 'data': { 'executionId': 'unique_id', 'name': 'example_tool', 'args': { ... } } }.
If a tool execution fails, the server broadcasts an execution failure message containing the execution ID and error details, such as error code and message. Example: { 'type': 'tool_execution_failed', 'data': { 'executionId': 'unique_id', 'error': { 'code': 'ERROR_CODE', 'message': 'Error message' } } }.
You can contribute by forking the repository, creating a feature branch, committing your changes, pushing to the branch, and submitting a Pull Request. Additionally, report issues or seek support via GitHub Issues or the SillyTavern Discord community.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
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