MCP Server for SigNoz

FalkorDB-MCPServer is an MCP (Model Context Protocol) server that connects LLMs to FalkorDB

Algorand Local Model Context Protocol (Server & Client)

Mazzap, part of the Mazzstack: essentials for the Singularity Slowlife

📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.

A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.

The fastest path to AI-powered full stack observability, even for lean teams.

Neo4j Skills for Coding and other Agents including Cypher

Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.

Token conscious database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

MCP server for Shodan — search internet-connected devices, IP reconnaissance, DNS lookups, and CVE/CPE vulnerability intelligence. Works with Claude Code, Codex, Gemini CLI, and Claude Desktop.

Free, open-source SQL Server and Postgres performance monitoring. Collectors, real-time alerts, graphical plan viewer, MCP server for AI analysis. Supports SQL 2016-2025, Azure SQL, AWS RDS, Postgres, Aurora Postgres.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

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 changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.