"How to connect to a React Native development build" matching MCP servers:

Enables Garmin Connect IQ developers to inspect store versions, listings, reviews, and installs, run SDK builds and simulator workflows, and optionally access Garmin Connect data through an agent, with read-only defaults and confirmation before public actions.

Enables MCP clients to read, search, and send WhatsApp messages with a server-enforced send gate for safety.

An MCP server for inter-session communication between Claude Code instances. Built on NATS JetStream, it provides room-based messaging, direct agent communication, presence tracking, and message history.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Enables AI agents to manage App Store Connect releases—versions, builds, TestFlight groups, metadata, pricing, reviews, and submission—while staying read-only by default and requiring human approval before any public or destructive action.

Manage app strings, locales, and A/B string variants, then publish Ed25519-signed string bundles for over-the-air text updates in iOS, Android, web, and React Native apps.

Local ledger for development ports: leases a block of ports per project slot (one per working copy), renders env files, and resolves service names to URLs. No daemon, no listener.

About The fast, idiomatic way to build MCP servers in Go. Gin-like DX with struct-tag auto schema, middleware, adapters for Gin/OpenAPI/gRPC.

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.

A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.

Your coding agent can read the code. It can't read the argument behind it. lema-mcp gives your agent the recorded why — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.

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.

Open source SQL-native query and provisioning engine for cloud and SaaS infrastructure. Ships as a single signed binary with MCP tools for provider discovery, schema exploration, queries, and lifecycle operations.

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.

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

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Scans self-hosted, multi-tenant AI-agent platforms for tenant-isolation gaps. Native Go MCP server exposing a scan tool that wraps the CLI's audit engine.

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.

Enables analyzing sales and stock CSV files to identify what to reorder, how much to buy, when products will run out, and how much inventory is tied up in dead stock. Provides read-only inventory checks and CSV column inspection without uploading data.

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

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.

MCP server that provides 25 tools for AI agents to query and modify a dependency graph, enabling impact analysis and provenance tracking for AI-assisted development.

Enables AI agents and development tools to interact with Obsidian vaults via MCP, providing direct filesystem access for reading, writing, searching, and managing notes without requiring Obsidian to be running.

A frontier knowledge base that’s minimal extensible and agent-native. Built to keep your team’s shared context current and inspectable.

A companion MCP server that exposes live Hermes Skills, filtered native MCP tools, and conditional Memos recall to ChatGPT while isolating Bridge failures from CodexPro VPS operations.

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

self-hosted development harness (Go engine + CLI + desktop, Linux first) · brief → requirements → spec → plan → build → review → release · verdicts are exit codes, never model opinions · local models first (llama.cpp, vLLM) beside any OpenAI-compatible or Anthropic endpoint · operable by humans or by other agents over MCP with recorded, attributed decisions

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.

Manages multiple development services with colored logs, filtering, and MCP integration for Claude Code.