Qdrant MCP Server
Supports containerized deployment of the MCP server with configurable environment variables for Qdrant connection and embedding settings
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP Server for Oracle NetSuite
This is a Model Context Protocol (MCP) server that connects to Oracle NetSuite (sandbox environment) and provides tools for:
Executing read-only SuiteQL queries
Fetching customer records by internalId
Built with FastAPI and OAuth 1.0a (Token-Based Authentication).
Tools
suiteql_query
Execute SELECT-only SuiteQL queries against NetSuite.
Input:
{
"query": "SELECT name, email FROM customer WHERE email IS NOT NULL LIMIT 5"
}This server cannot be deployed
Related MCP Connectors
Universal persistent memory and knowledge retrieval layer for AI agents and LLMs.
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
Memory system for AI agents with semantic search. Store and recall memories with ease.
Persistent memory for AI agents. Search, store, and recall across sessions.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides semantic memory capabilities using Qdrant vector database with configurable embedding providers, allowing storage and retrieval of information using vector similarity.26 PyPI3Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides intelligent memory management capabilities using Qdrant vector database for semantic search and storage. Supports global, learned, and agent-specific memory types with markdown processing and duplicate detection.-
- AlicenseNot gradedqualityCmaintenanceEnables semantic search and document management using a local Qdrant vector database with OpenAI embeddings. Supports natural language queries, metadata filtering, and collection management for AI-powered document retrieval.70 npm36MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.9MIT