"ERPNext enterprise resource planning software" matching MCP servers:

Enables stdio-capable MCP clients to run governed enterprise operations tasks, including policy/runbook retrieval and ticket and user lookups or writes. High-risk actions are held for human approval and role-based access is enforced server-side, so clients cannot bypass governance.

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.

Enables natural-language retrieval from enterprise policy documents via RAG, exposing search_enterprise_knowledge and get_document_sources tools.

Enables secure, stateful AI agents and LLM tools to access enterprise databases, knowledge bases, live system metrics, and sandboxed code execution through the Model Context Protocol, with authentication, rate limiting, and safety guards.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

Enables natural-language querying of simulated HR data through a safety-gated MCP tool layer, routing questions to SQL or policy document retrieval with PII masking, role-based access, and an offline evaluation harness.

Enables querying enterprise documents (DOCX, PDF, PPTX) using natural language, with hybrid search and MCP integration for Claude Desktop and other agents.

Enables AI agents to securely search and ingest corporate documents via MCP, offering hybrid retrieval, PII sanitization, role-based access control, and citation validation.

An enterprise MCP server that exposes 16 standardized tools for document intelligence, RAG, knowledge graph, SQL analysis, LLM evaluation, cost estimation, and AI architecture design, enabling AI agents to securely access and compose enterprise AI capabilities.

An MCP-based enterprise tools server that exposes company knowledge search and employee database lookup as callable tools.

Enables enterprise SaaS support teams to get retrieval-augmented answers from indexed support documentation and to run natural-language questions as SQL queries against a support PostgreSQL database. It returns answers with source references and exposes the generated SQL alongside its results, with optional tracing and evaluation.

Enables Claude to retrieve and reason over internal business documents, client histories, and SOPs stored in ChromaDB for hallucination-free, context-aware responses.

Enables governed, read-only SQL analytics, hybrid RAG knowledge search, financial metric calculation, and database schema introspection through MCP, with role-based access control, audit logging, and AI observability.

Enables natural language queries over internal policy documents using RAG, and provides tools to search policies and check ticket status via MCP.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

Enables inspection and governance of enterprise ingested context by classifying security clearance tiers, sanitizing cross-department prompts, and enforcing role-based access boundaries to prevent data leaks. It runs as a zero-dependency MCP server compatible with Claude Desktop, Cursor, and other agent frameworks.

Enables agents to ground claims in enterprise knowledge by hashing source chunks, tracing claims back to their origins, validating clearance boundaries, and maintaining audit trails to support anti-hallucination workflows.

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

Connects AI coding assistants to Google Cloud Discovery Engine APIs for semantic search, conversational RAG, and administration of datastores, documents, and configurations.