Dev tools · alternatives · 2026
24 alternatives to MCP Dock
Manage MCP servers across 14 AI coding tools from one app
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Browser MCP connects AI applications to your browser so you can automate tasks using AI. Supported by Claude, Cursor, VS Code, Windsurf, and more.
2025 · browsermcp.io · its alternatives →
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Pipedream MCP▲2912,500+ APIs and 10,000+ tools for your AI assistant
2025 · mcp.pipedream.com · its alternatives →
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OpenMemory MCP▲379Sync memory across AI's so they pick up where you left off.
2025 · mem0.ai · its alternatives →
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Context Sync▲95Persistent AI memory across Claude Desktop & Cursor IDE
Oct 2025 · github.com · its alternatives →
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com · its alternatives →
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mTarsier▲188Open-source platform for managing MCP servers and clients
Mar 2026 · mtarsier.com · its alternatives →
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Vibedock▲98Toggle Claude Code MCP servers from your menu bar
May 2026 · vibedock.dev · its alternatives →
- 12WM
2025 · npmjs.com · its alternatives →
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Open-source Computer Use MCP for AI agents
May 2026 · github.com · its alternatives →
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Zero-dep CLI: one MCP config synced to every agent. A 255-tool listing costs 581 tokens, not 71,929 - schemas never enter context. - activeing123/mcptoon
Aug 2026 · github.com · its alternatives →
- 15MH
Sep 2026 · ai.mcpharbor.dev · its alternatives →
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Hey everyone, I've wanted an easy way to control which mcp server tools are available to clients. So for example, I might want a gmail server to only expose the read tool (but not send, delete etc). I figured if I create a cli for spawning mcp servers, I could intercept the stdin, stdout, stderr etc and modify what the clients see when they are making calls to list tools, resources, and prompts. Well it worked! In the initial version you can easily add a server to claude with a safe list of tools: npx -y mcpgod add @modelcontextprotocol/server-everything --client claude --tools=echo,add…
2025 · github.com · its alternatives →
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Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
2025 · github.com · its alternatives →
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com · its alternatives →
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MCP Cloud▲52Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.
2025 · mcp-cloud.ai · its alternatives →
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Declaratively define and run required tools across environments, from local development to containerized cloud deployments. - mozilla-ai/mcpd
2025 · github.com · its alternatives →
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com · its alternatives →
- 23MJ
My friends and I built MCP Jetpack which makes it really easy to start using MCP. It’s an MCP server that automatically finds and executes the right tools needed to accomplish your task without having to manage MCP servers for each service (GitHub, Linear, Atlassian, Notion etc.). Once you add it to Cursor (or any other AI app with MCP support), Cursor instantly gets access to a growing library of remote MCP servers without any extra setup. For services that require authentication, you will be asked to login the first time you ask your AI to interact with that service. Two problems we are…
2025 · mcpjetpack.com · its alternatives →
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TLDR: OpenAPI-MCP is a Dockerized server that dynamically generates Model Context Protocol (MCP) tool definitions directly from your Swagger/OpenAPI documentation. It allows your AI agent to seamlessly access any API without additional coding, streamlining development and eliminating repetitive manual setup. For more details, code updates-----: GitHub: ckanthony/openapi-mcp Docker Hub: ckanthony/openapi-mcp
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →