An AI-powered MCP server for personal and group expense management, providing CRUD operations, advanced filtering, analytics, Splitwise-style splitting, budget tracking, and report generation.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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neev-25
Source: Glama
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DB_DIRDirectory where expenses.db is stored project root (local)REPORTS_DIRDirectory where generated CSV/Excel reports are saved <DB_DIR>/reportsTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
41/41 tools missing one or more hints — add_expense (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_expenses (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); summarize (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +38 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
38/41 tool handlers declare input schemas (93%)
Declare an inputSchema with zod/joi/yup on every tool definition.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tool test coverage
27/41 tools referenced in tests (66%)
Write tests that reference each tool by name so every tool has at least one test.
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