A Model Context Protocol (MCP) server implementation for the OpenLedger API. This server provides structured context to AI models according to the MCP specification.
Overview
What is OpenLedger MCP Server?
OpenLedger MCP Server is a Model Context Protocol (MCP) server implementation for the OpenLedger API, providing structured context to AI models according to the MCP specification.
How to use OpenLedger MCP Server?
You can use the server by either installing it locally or running it via Docker. For local installation, clone the repository, install dependencies, set up environment variables, and start the server. For Docker, build and run using Docker Compose or a provided script.
Key features of OpenLedger MCP Server?
- MCP-compliant server implementation
- Integration with OpenLedger API
- Context-aware AI interactions for financial data
- Support for transactions, companies, and other financial entities
Use cases of OpenLedger MCP Server?
- Enabling AI assistants to interact with financial data in a structured manner.
- Managing financial transactions and company information through an API.
- Generating financial reports and managing transaction categories.
FAQ from OpenLedger MCP Server?
- What is the Model Context Protocol (MCP)?
MCP is a standard for providing context to AI models, allowing structured data exchange between applications and AI models.
- Can I use this server with any AI assistant?
Yes, the server can be integrated with any AI assistant that supports the Model Context Protocol, such as Claude.
- Is there documentation available for using the server?
Yes, detailed instructions can be found in the MCP_USAGE.md file.