@iiatlas/hledger-mcp
by Various
A local MCP server for interacting with the HLedger cli
MCP
@iiatlas/hledger-mcp
Added 1 June 2026
Overview
@iiatlas/hledger-mcp is a local MCP server that bridges AI assistants with the HLedger command-line accounting tool. It translates natural language requests into HLedger CLI commands and returns structured results. Built in TypeScript, it runs on the user's machine and requires a local HLedger installation.
Best for
Best for
Developers and small business owners who use HLedger and want to query accounting data through AI assistants
Use cases
- Query financial transactions from HLedger using natural language prompts
- Automate accounting tasks by integrating HLedger with MCP-compatible AI clients
- Generate reports or summaries of HLedger data without writing raw CLI commands
Notes
@iiatlas/hledger-mcp is a local MCP server that bridges AI assistants with the HLedger command-line accounting tool. It translates natural language requests into HLedger CLI commands and returns structured results. Built in TypeScript, it runs on the user’s machine and requires a local HLedger installation.
56 stars on GitHub. Last updated 2026-02-28. Licensed MIT.
Use cases
- Query financial transactions from HLedger using natural language prompts
- Automate accounting tasks by integrating HLedger with MCP-compatible AI clients
- Generate reports or summaries of HLedger data without writing raw CLI commands
Pros
- Enables conversational access to HLedger data without leaving the assistant
- Open source and self-hosted, keeping financial data local
- Leverages existing HLedger setups with no data migration needed
Cons
- Requires running HLedger and the MCP server locally, adding setup overhead
- Limited to HLedger’s capabilities and data model
- Small community (56 stars) means less support and fewer contributions
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables conversational access to HLedger data without leaving the assistant
- Open source and self-hosted, keeping financial data local
- Leverages existing HLedger setups with no data migration needed
Cons
- Requires running HLedger and the MCP server locally, adding setup overhead
- Limited to HLedger's capabilities and data model
- Small community (56 stars) means less support and fewer contributions
Pairs with
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