MCP servers and skills: search, filter by where they run, and compare.
Model Context Protocol (MCP) server for SQL Server with RAG capabilities. Enables AI assistants to explore and query databases. Cross-platform support for Windows & macOS.
Node.jsMIT★ 1Few starsNo key
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/
OfficialSkillMIT★ 40k in collectionNo key
Standalone MCP server exposing Premier League sports stats and press-conference RAG as MCP tools
PythonMITFew starsNeeds a key
Model Context Protocol (MCP) server allowing LLMs to store and search knowledge in a SQLite database
SkillMIT★ 7No key
AI-native NoSQL + vector database with built-in semantic search for RAG, AI agents & LLM memory — the async Rust client. Self-hosted Pinecone alternative.
SkillMIT★ 4Few starsNo key
CLI advisor for ClickHouse query optimization. Formally verified rewrite rules + RAG + MCP server.
PythonMIT★ 18No key
Build a second brain every AI can share: your content in Oracle AI Database 26ai — semantic search with in-database embeddings, a self-compiling wiki, four kinds of agent memory, and an MCP server tha
SkillMIT★ 13No key
Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit. Use when the user mentions Upstash Redis, needs Redis from a Next.js route han
OfficialSkillMIT★ 40k in collectionNo key
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
SkillMIT★ 4Few starsNo key
An intelligent AI agent system that brings the world of Stardew Valley to life through conversational AI, RAG vector databases, and multimodal analysis.
SkillMIT★ 27No key
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
PythonMIT★ 742No key
This is a MCP server I built to interact with my hybrid graph rag db.
SkillMIT★ 64No key
MCP Server with RouterOS docs + commands + products + changelogs, using SQLite-as-RAG, sourced from MikroTik
Node.jsMIT★ 49No key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high c
OfficialSkillMIT★ 40k in collectionNo key
PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage ventures. The platform analyzes multiple dimen
SkillMIT★ 9No key
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or '
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact',
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was f
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded
OfficialSkillMIT★ 40k in collectionNo key
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media fe
OfficialSkillMIT★ 40k in collectionNo key
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no chan
GoMIT★ 905No key
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