MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic s
OfficialSkillApache-2.0★ 40k in collectionNo key
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Mi
OfficialSkillApache-2.0★ 256 in collectionNo key
Test databases created via withDevDatabase() from @prisma next/test utils use pglite (an in memory PostgreSQL implementation via @prisma/dev ). Pglite does not support PostgreSQL extensions like pgvec
OfficialRuleApache-2.0★ 415 in collectionNo key
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
PythonApache-2.0★ 494No key
25 MB lightweight cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Dock
SkillApache-2.0★ 27kNo key
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid sear
OfficialSkillApache-2.0★ 21k in collectionNo key
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, o
OfficialSkillApache-2.0★ 21k in collectionNo key
Official AI Agent skills for building with Zvec vector database
SkillApache-2.0★ 21No key
Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid search, full-text search, indexing, RBAC, and common patterns like
SkillApache-2.0★ 45No key
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a
OfficialSkillApache-2.0★ 21k in collectionNo key
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
SkillApache-2.0★ 158No key
Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.
SkillApache-2.0★ 184No key
A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector database via MCP server.
SkillApache-2.0★ 24No key
Portable, governed, model-agnostic memory for AI agents: facts invalidated never deleted, raw text as truth, one documented export format.
Node.jsApache-2.0★ 3Few starsNo key
High-performance multi-data-source database client — ~30MB, AI & MCP ready, zero Electron bloat. | 高性能多数据源数据库客户端：约 30MB，AI 与 MCP 就绪，告别 Electron 膨胀。
GoApache-2.0★ 2.1kNo key
Embedded single-file store for facts that change: exact vector search, full revision history, no server. numpy-only.
PythonApache-2.0★ 1Few starsNo key
Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch DBs. 14 data sources, 10 auto sync: Alfresco, Nuxeo, etc. KG auto-building, Ontologies, LLMs, Docling, Ll
SkillApache-2.0★ 193No key
Persistent memory MCP for AI agents — SQLite, knowledge graph, 13-tool Python MCP + 17-tool BrainBar surface with ToolAnnotations
PythonApache-2.0★ 9No key
KamehaDB is a cross-platform database GUI - AI. Support query via human language
SkillApache-2.0★ 14No key
An sqlite MCP server with built-in semantic search and local embedding-vector generation
SkillApache-2.0★ 3Few starsNo key
PythonApache-2.0★ 6No key
Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how
OfficialSkillApache-2.0★ 256 in collectionNo key
Model Context Protocol server for Couchbase - connect AI agents and LLMs like Claude, Cursor, and Copilot to Couchbase/Capella
PythonApache-2.0★ 34No key
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