ASR Graph of Thoughts (GoT) MCP Server
by SaptaDey
The ASR Graph of Thoughts (GoT) MCP server is an efficient implementation of the Model Context Protocol (MCP) for sophisticated reasoning workflows using graph-based representations. It enhances AI reasoning capabilities by leveraging a Graph of Thoughts approach.
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What is ASR Graph of Thoughts (GoT) MCP Server?
This is a Model Context Protocol (MCP) server that uses a Graph of Thoughts (GoT) approach to improve AI reasoning. It allows AI models and applications to connect and utilize graph-based representations for more complex reasoning workflows.
How to use ASR Graph of Thoughts (GoT) MCP Server?
The server can be run using Docker Compose, which builds and starts the backend (FastAPI) and static client. Alternatively, a development environment can be set up locally by cloning the repository, creating a virtual environment, installing dependencies, and running the server. It can be integrated with AI models like Claude or API-based integrations.
Key features of ASR Graph of Thoughts (GoT) MCP Server
Graph of Thoughts implementation
Model Context Protocol (MCP) compliance
Dockerized deployment
FastAPI backend
Modular processing stages
API for integration
Use cases of ASR Graph of Thoughts (GoT) MCP Server
Enhancing AI reasoning capabilities
Integration with Claude desktop app
API-based integrations with AI models
Sophisticated reasoning workflows
Graph-based knowledge representation
FAQ from ASR Graph of Thoughts (GoT) MCP Server
What is Graph of Thoughts (GoT)?
What is Graph of Thoughts (GoT)?
GoT is an approach that uses graph-based representations to enhance AI reasoning capabilities.
What is Model Context Protocol (MCP)?
What is Model Context Protocol (MCP)?
MCP is a protocol that allows AI models and applications to connect and utilize context information.
How do I run the server?
How do I run the server?
You can run the server using Docker Compose or set up a local development environment.
What AI models can I integrate with?
What AI models can I integrate with?
You can integrate with AI models like Claude or API-based integrations.
Where can I find the API documentation?
Where can I find the API documentation?
The API implementation can be found in the src/api directory, including routes and schemas.