Marqeta DiVA API MCP Server

[project] name = "marqeta-diva-mcp" version = "0.3.0" description = "MCP server for Marqeta DiVA API - Data insights, Visualization, and Analytics" readme = "README.md" requires-python = ">=3.10" license = {text = "MIT"} authors = [ {name = "Zvika Badalov", email = "zvika.badalov@finally.com"} ] keywords = ["marqeta", "diva", "mcp", "model-context-protocol", "api", "analytics", "fintech"] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Office/Business :: Financial", ] dependencies = [ "mcp>=1.0.0", "httpx>=0.27.0", "python-dotenv>=1.0.0", "pydantic>=2.0.0", ] [project.urls] Homepage = "https://github.com/zvika-finally/marqeta-diva-mcp" Repository = "https://github.com/zvika-finally/marqeta-diva-mcp" Issues = "https://github.com/zvika-finally/marqeta-diva-mcp/issues" Documentation = "https://github.com/zvika-finally/marqeta-diva-mcp#readme" [project.scripts] marqeta-diva-mcp = "marqeta_diva_mcp.server:main" [project.optional-dependencies] # Local storage and RAG features (semantic search, embeddings) # Install with: pip install marqeta-diva-mcp[rag] rag = [ "chromadb>=0.4.22", "sentence-transformers>=2.3.1", ] # Development dependencies dev = [ "pytest>=7.0.0", "black>=23.0.0", "ruff>=0.1.0", ] # All optional features all = [ "chromadb>=0.4.22", "sentence-transformers>=2.3.1", "pytest>=7.0.0", "black>=23.0.0", "ruff>=0.1.0", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.black] line-length = 100 target-version = ["py310"] [tool.ruff] line-length = 100 target-version = "py310"