18,186 MCP servers crawled across 12 categories. 164 deterministic detection rules. Evidence chains, not vibes.
Enables AI interaction with Logseq knowledge graphs for capturing notes, organizing information, and retrieving knowledge from personal databases
Large language model persistent memory module that lives outside the model itself
Reduce Claude Code, Codex, OpenCode wall clock and token use by 50% with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec.
## 🔦 SnipeFactory: Lumen MCP Engine Lumen MCP is a specialized forensic analysis server designed to give AI agents (Gemini, Claude, etc.) the "eyes" to see inside a Java Virtual Machine. By parsing **JVM Flight Recorder (JFR)** binary data, Lumen enables real-time troubleshooting and post-mortem investigation of production incidents. ### 🚀 Key Capabilities - **Incident Forensics:** Automatically trace "swallowed" exceptions and hidden errors that standard logs miss. - **SQL Intelligence:** Pinpoint slow database queries and map them directly to your DAO/Mapper code (Java 11+). - **Socket Latency Analysis:** Detect bottlenecks in RDS, Redis, or external API calls through deep network I/O triage. - **Resource Profiling:** Identify CPU hotspots and memory allocation issues with line-level precision. ### 🏹 The SnipeFactory Edge Unlike standard monitoring tools that only show "what" happened, Lumen shows you **"why"** and **"where"** in your code the failure occurred. It is built for developers who need to snipe performance bottlenecks with surgical precision. --- © 2026 **SnipeFactory**. Part of the Lumen Incident Forensic System.
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
MCP server for Meta-AgentsDB — persistent causal memory for AI agents
Persistent graph-powered memory for AI agents using Kuzu embedded database.
MCP server for Manticore Search — lets AI assistants query and manage search databases.
An MCP server for Oracle databases.
Databricks MCP Server for exploring Unity Catalog - catalogs, schemas, tables, and data
MCP Server for MariaDB
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
A generic SQL query interface for MCAP robotics data via the Model Context Protocol
Asynchronous coordination layer for AI coding agents: identities, inboxes, searchable threads, and advisory file leases over FastMCP + Git + SQLite
MCP server for interacting with Kusto databases
The evaluation benchmark on MCP servers
MCP server for BigQuery database operations
MCP Server Package: redis-mcp-server
MCP CosmosDB - Azure CosmosDB MCP Server for database analysis and operations
MCP server for SQLite, PostgreSQL, and MySQL with natural language to SQL and direct SQL tooling.
MCP for Databricks Server
Duckdb-based MCP server for datasets