"Documentation for Vercel AI SDK" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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 ;)
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
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.
An MCP server for search and retrieval over a local LanceDB database
A search engine that learns from feedback, over embeddings: one tool per API route.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
Elasticsearch + MongoDB + Redis Stack Generator (Elasticsearch/Elasticsearch)
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
Same functionality, consuming only 1/20 of the context window tokens.
Production-grade MCP server for discovering AI agent frameworks, vector databases, LLM gateways, and generating certified Docker Compose deployment stacks
