A server implementation that enables LLMs to interact with Salesforce data through SOQL queries, SOSL searches, and API operations including retrieving, creating, updating, and deleting records.
Enables LLMs to interact with DataForSEO and other SEO APIs through natural language, allowing for keyword research, SERP analysis, backlink analysis, and local SEO tasks.
Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.
Enables natural language database operations and semantic document search through SQLite and vector database integration. Converts plain English instructions into SQL queries and provides RAG capabilities for uploaded documents.
Provides flexible access to Oracle databases for AI assistants like Claude, supporting SQL queries across multiple schemas with comprehensive database introspection capabilities.
Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.