"Best practices for organizing and structuring a codebase" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Semantic nearest-neighbour search over your datasets, plus indices and projections.
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.
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.
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),
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
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.
Hosted Upstash MCP server: Redis, QStash, Workflow, Vector, Search, Box and Blob, with OAuth.
Search and SQL on object storage: full-text, vector and hybrid search plus SQL over your data.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
- AmberOAuthcom.ambermem
Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
- 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.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
