"ERPNext enterprise resource planning software" matching MCP servers:

Provides software development planning tools to help users create implementation plans and manage todo items.

Enables AI agents to read and operate ERPNext/Frappe systems through HTTP APIs, with safe-mode approval for sensitive operations and complete storage of large request and response payloads.

Enables interaction with ERPNext instances via its REST API to manage documents, inventory, and reports. It supports full CRUD operations, submittable document workflows, and schema inspection through natural language.

Enables users to manage CRM leads, opportunities, projects, tasks, and sales records within ERPNext directly through MCP-compatible clients. It supports global searches, timesheet entries, and access to dashboard KPIs using natural language.

Integrates Claude with ERPNext v16, enabling CRUD operations, queries, and method calls through a secure MCP interface.

This MCP server connects ChatGPT to ERPNext, enabling AI-powered business analytics, report generation, and document management.

A robust, asynchronous Model Context Protocol (MCP) server that securely connects LLMs to your ERPNext instance (Self-Hosted or Frappe Cloud) via its REST API.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Enables generic CRUD operations on ERPNext/Frappe DocTypes via MCP tools, allowing users to interact with ERPNext data like documents, reports, and schema through natural language commands.

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

Enables AI assistants and automation tools to securely query ERPNext data through 16 read-only tools, with OAuth 2.0 or API-key authentication and usage telemetry.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

An MCP server exposing scoped, read-only enterprise operations tools with fail-closed credential handling. It returns opaque approval IDs for mutations and requires a separate operator approval command to release one-time capabilities.

Turns Cursor into a full software factory with 10 specialist agents (PM, Architect, Backend, Frontend, etc.) as a local MCP server, keeping code on your machine.

Enables ChatGPT to inspect public Instagram, Threads, and web resources through a local browser and return a schema-validated Evidence Packet for evidence-first review.

Enables deploying production-ready MCP servers with built-in authentication, rate limiting, data desensitization, audit logging, and session isolation, ready for Kubernetes.

Provides enterprise knowledge management capabilities via MCP, enabling semantic search across the knowledge base, retrieval of full documents by ID, and search over enterprise project cases.

A secure, multi-tenant Model Context Protocol server that gives AI clients controlled access to enterprise knowledge bases, SQL databases, REST APIs, files, and GitHub.