"Exploring the Concept of Multi-Agentic Systems" matching MCP servers:

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

MCP server that keeps language server sessions warm and routes multiple languages through one process. Agents get persistent cross-file awareness, speculative execution (simulate edits before writing to disk), and 20 skills that encode correct multi-step operations like safe rename, blast-radius analysis, and end-to-end refactoring. Single Go binary, no runtime dependencies.

Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSON

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

MCP server that wraps the Multiroom Audio Hub v2 REST API, providing 24 tools to control multiroom audio systems. Enables AI assistants to manage inputs, outputs, groups, routes, playback, and master mute.

MCP server for Meshbrow that gives AI agents full browser automation capabilities with stealth anti-detection, enabling natural language control of browser sessions, data extraction, and multi-browser fleets.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

Enables stateless, handle-based tool interaction over the 2026-07-28 MCP protocol, supporting multi-round-trip requests, cacheable results, and an audited execution trail.

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

Enables coding agents to natively invoke Java project scaffolding operations such as initializing projects, adding modules, designing systems, and suggesting architectures.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.

Enables governed multi-agent software factory operations through eight typed, audited tools for Sprint planning, submission, decisions, inspection, cancellation, and resumption.

MCP server for Reddit that fetches full comment threads and compresses them into compact tab-delimited format, reducing token usage by up to 94% vs JSON. Supports subreddit feeds, multi-subreddit search, user activity, and OAuth for higher rate limits.

The implementation of Model Context Protocol (MCP) server for VictoriaLogs.

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

A MCP Runtime for dealing with spiky agentic traffic in golang

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP Server for the Luno Cryptocurrency API

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output