Vector & RAG MCP servers

Build and deploy backends: auth, Postgres/MySQL/vector databases, storage, functions, hosting, CDN

Autonomous AI video editor over MCP: viral clips, captions, reframe, chroma key, MP4 export

Memory for AI assistants in one SQLite file: full-text search, no vectors, no embeddings.

Local-first memory for coding agents — MCP server, single SQLite file, local embeddings

Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.

Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.

Local hybrid keyword + vector search (SQLite FTS5 + sqlite-vec) over markdown vaults and code.

100% In-Process Bare-Metal Hybrid Memory Engine & MCP Server for LLMs (SQLite + Int8 Vectors).

Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data

Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.

Memory, reflection and safety for AI agents. Hosted or local, no vector database.

File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.

Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data

Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools

Search self-contained .pikelet knowledge artifacts over MCP — no vector DB, no embedding API.

A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.

Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.

MCP server for Oracle, MSSQL, PostgreSQL, MySQL, SQLite, MongoDB, and Qdrant vector search access.

Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.

Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.

Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.

Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.

SQLite-backed hybrid (vector + FTS) code search index for Claude Code over MCP.

Create and manage vector database indexes, backups, and collections

Portable agent memory anchored on Solana. Local SQLite + vector recall, open export.

SQL Server MCP with RAG capabilities for Windows (native ODBC support)

SQL Server MCP with RAG capabilities for macOS (Docker SQL Server support)

Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.

Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)

Assembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.

Graph-vector memory for AI assistants using FalkorDB and Qdrant

Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.

Remote ChromaDB vector database MCP server with streamable HTTP transport