PubShip
Open-source MCP server for Google Play developer workflows. Runs locally with your own credentials.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 176 of 232
Open-source MCP server for Google Play developer workflows. Runs locally with your own credentials.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
# Just Prompt - A lightweight MCP server for LLM providers `just-prompt` is a Model Control Protocol (MCP) server that provides a unified interface…
X402-list MCP Server is the MCP server for x402-list.com, a directory of services that accept x402 (HTTP 402 stablecoin) payments. 7 tools, with
CasaBella Outdoor Kitchen MCP Server helps AI assistants plan a built-in grill and outdoor kitchen with real MSRP for grills and cabinets, priced…
Jev MCP is a community-built Model Context Protocol server that gives compatible agents access to TypeSafe AI's Jev evaluation model. 4 tools, with
Deterministic, verifiable orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more).
Rivalize MCP Server connects Claude, Cursor and other MCP clients to Rivalize, a competitive intelligence platform, so your assistant can pull…
Priors MCP Server (@priors/mcp) is a local MCP server that gives an AI assistant a USDG wallet on Robinhood Chain: it pays x402-priced APIs…
Nullprint MCP Server is an open-source local server that lets Claude Code, Claude Desktop, OpenAI Codex, Kimi and other MCP agents create, launch…
# sentry-mcp Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging…
Server-noonien MCP Server is a shared, serverless, conflict-free memory for AI agents.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.