"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions.
Read-only Hebrew AI-agent recipe library with search and full-text retrieval.
Append-only decisions with provenance, supersession, retrieval, and audited MCP actions.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Interact with your Google Cloud Firestore resources using natural language commands.
Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.
- ChrysaiOAuthcom.chrysai
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
Kotlin compile-time SQL library. Docs, code validation, and SQLite execution tools.
Ingest, manage, and retrieve documents for RAG-powered AI applications
