"Using an MCP server to generate structured ADK agents" matching MCP connectors:
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Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Stock-symbol vectors: which listed symbols an event, theme or headline moves, ranked in one call.
An MCP server for search and retrieval over a local LanceDB database
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
- XataOAuthio.github.xataio
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
