"How to connect to Supabase" matching MCP servers:

Minimal Go library for building stdio MCP servers on the official go-sdk — struct-derived JSON Schema, tiny static binaries.

Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.

Read-only MCP server for Huawei GaussDB (centralized & distributed), built for coding agents. Three-layer write protection, multi-instance config, schema exploration and single-SELECT execution.

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

Go MCP server for multi-format document access — PDF, TXT, MD, DOCX, CSV, images. 12 tools including OCR, search, table extraction, and URL fetch. Single binary, no runtime.

Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.

Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.

Enables AI agents to connect to the EVC Mesh task management platform for task management, persistent memory, event publishing, and multi-agent coordination.

Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.

MCP server for the Cloudflare API v4, written in Go. Exposes 28 read tools across zones, DNS, WAF/firewall, rate limits, HTTP request logs, Security Center, and threat intelligence.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

Provides structured, tool-based access to a Honeybadger account's API, enabling users to browse projects, inspect faults and notices, work with dashboards, alarms, and check-ins, and retrieve reference documentation such as BadgerQL. Runs in read-only mode by default, with optional write and delete operations, and can connect either through the hosted OAuth endpoint or a self-hosted stdio/Docker deployment.

MCP server for UniFi Network Controller enabling AI assistants to manage UniFi infrastructure via natural language. It supports firewall rules, IPv6, and uses lazy/eager tool modes to minimize context usage.

Connect your Umami Analytics to any MCP client to derive insights from natural language.

Enables AI agents to monitor and control Prusa 3D printers over PrusaLink or Prusa Connect, including status and camera checks, file upload and print control, G-code execution, queue and history access, and responding to printer dialogs.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Source-code intelligence for agents, powered by OpenGrok and Go.

Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.

Records how any command-line tool behaves (flags, stdin, outputs, exit codes, edge cases) as golden tests, then diffs a Rust or Go rewrite against the original to prove it behaves the same.