A collection of tools for managing the platform, addressing data quality and reading and writing to Teradata Database.
The Teradata MCP server provides sets of tools and prompts, grouped as modules for interacting with Teradata databases. Enabling AI agents and users to query, analyze, and manage their data efficiently.
We are providing groupings of tools and associated helpful prompts
Step 1. - Identify the running Teradata System, you need username, password and host details to populate "teradata://username:password@host:1025". If you do not have a Teradata system to conect to, then leverage Teradata Clearscape Experience
Step 2. - To cofigure and run the MCP server, refer to the Getting stated guide.
Step 3. - There are many client options availale, the Client Guide explains how to configure and run a sample of different clients.
Universal database MCP server supporting multiple database types including PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, BigQuery, Oracle DB, and SQLite
Enables AI assistants to interact with the Hive blockchain through the Model Context Protocol.
A Model Context Protocol Server for MongoDB
Leverages your Schemas and Access Patterns to interact with your DynamoDB Database using natural language.
A MCP server that provides real-time cryptocurrency market data through CoinCap's public API without requiring authentication
A read-only MCP server for querying live data from Square using the CData JDBC Driver.
Embeddings, vector search, document storage, and full-text search with the open-source AI application database
Knowledge graph-based persistent memory system
Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: get_schema, analyze_database, and check_schema_alignment.
Connect AI tools with Pinecone projects to search, configure indexes, generate code, and manage data.