Lunchmoney
This MCP server provides a bridge to the Lunchmoney personal finance API, enabling AI assistants to interact with users' financial data. It offers tools for retrieving recent transactions, searching transaction history, analyzing category-specific spending, and obtaining detailed budget summaries. Developed by a third-party contributor, it aims to enhance financial management capabilities within AI conversations. The implementation is particularly useful for personal finance tracking, budget analysis, and expense monitoring use cases, allowing users to gain insights into their spending habits and financial health through natural language interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/leafeye/lunchmoney-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Lunchmoney from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.