ERPNext
The ERPNext MCP server provides integration with ERPNext/Frappe API, enabling AI assistants to interact with enterprise resource planning data through a standardized interface. Developed by Rakesh Gangwar, this TypeScript implementation supports authentication, document operations (create, read, update), report generation, and metadata discovery through tools like get_documents, create_document, and run_report. The server exposes ERPNext documents via URI templates (erpnext://{doctype}/{name}) and includes features for querying document lists with filters, retrieving field definitions, and accessing various DocTypes. It's particularly useful for business applications requiring ERP data access, such as inventory management, customer relationship management, and financial reporting without direct database access.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/rakeshgangwar/erpnext-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve ERPNext 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.