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AI · alternatives · 2026

24 alternatives to multichain-mcp

AI agents with native access to Stacks, Celo, and Base

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    Strata▲652

    One MCP server for AI agents to handle thousands of tools

    2025 · klavis.ai · its alternatives →

  2. 2

    Give AI agents access to real-time data across 200+ apps

    May 2026 · apideck.com · its alternatives →

  3. 3
    AutoMCP▲150

    Easily deploy your existing AI agent projects as MCP servers

    2025 · its alternatives →

  4. 4
    CoreSpeedfree tier, from $20/mo▲332

    One MCP for everything your agents need: apps, memory, tools

    28d ago · corespeed.io · its alternatives →

  5. 5

    Power your AI agents with enterprise-ready tools via MCP

    2025 · merge.dev · its alternatives →

  6. 6

    Connect any API to any AI agent

    May 2026 · mcp-bridge.ai · its alternatives →

  7. 7

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

    2025 · github.com · its alternatives →

  8. 8

    I'm Mike, Head of Eng/Product at Alloy Automation. We built MCP by Alloy Automation to give your AI agents structured access to business-critical systems without the integration headache. We've built MCP servers covering thousands of tools across platforms like Quickbooks, Xero, Notion, HubSpot, and Salesforce. Pick the tools you need, provision a server, and ship faster. Need more control? Our Connectivity API gives you programmatic access to all the same tools for custom integrations beyond MCP. Everything runs with scoped auth utilizing our battle-tested credential management system…

    2025 · ai.runalloy.com · its alternatives →

  9. 9
    MCPTotal▲179

    Secure MCP servers that just work

    Dec 2025 · a16y.ai · its alternatives →

  10. 10

    Create, backtest, and execute trades directly in Claude.

    2025 · github.com · its alternatives →

  11. 11

    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 →

  12. 12
    Preloop▲121

    Hey HN, I’m Yannis, co-founder of Preloop. We’ve built a proxy for the Model Context Protocol (MCP) that lets you add human approval gates to your AI agents without changing your agent code. We’re building agents that use tools (Claude Desktop, Cursor, etc.), but we were terrified to give them write-access to sensitive systems (Stripe, Prod DBs, AWS). We didn't want to rewrite our agents to wrap every tool call in complex "ask_user" logic, especially since we use different agent runtimes. We built Preloop as a middleware layer. It acts as a standard MCP server proxy.You point your agent to…

    Jan 2026 · preloop.ai · its alternatives →

  13. 13

    The memory layer for AI agents

    Jul 2026 · kitforai.com · its alternatives →

  14. 14

    The curated directory of MCP Resources for Developers

    2025 · its alternatives →

  15. 15
    MCP360▲61

    Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…

    2025 · mcp360.ai · its alternatives →

  16. 16

    MCP server that gives AI the ability to use an iPhone

    Jan 2026 · github.com · its alternatives →

  17. 17

    Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.

    2025 · mcp-cloud.ai · its alternatives →

  18. 18

    We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…

    2025 · github.com · its alternatives →

  19. 19

    Hosted MCP and AI agent tooling for crypto & DeFi

    2025 · aurracloud.com · its alternatives →

  20. 20

    Today we're releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP). MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat. A simple example: if you had a Blackjack MCP server with tools like deal, bet, and…

    2025 · nanobot.ai · its alternatives →

  21. 21

    Hi all, since I began building with agentic systems, I kept copying and sharing Markdown-based agent definitions across projects and devices. Syncing was a pain. So I built Pantheon MCP, a server that always provides the latest versions of an agent definition from a collection of currently 42 agents. Now I have to only add the MCP server to a new project and everyone on the project gets the same agent definitions all the time. In addition, using it allows the system to choose dynamically the correct agent based on the task at hand. I’ve been running it internally — now I’m releasing it…

    2025 · pantheon-mcp.com · its alternatives →

  22. 22
    0mcp▲20

    Ship MCP Server for your SaaS without engineering overhead

    Aug 2026 · 0mcp.io · its alternatives →

  23. 23

    We built a Rust MCP server, which wraps the excellent headless terminal (HT)[1] to makes it available for agentic coding tools. Most agentic coding tools struggle with blocking, interactive terminal tools (all the boilerplate generator, infra CLI tools etc). This is because many existing CLI dev tools are built for humans and require interactive input. We built this so agentic coding tools (Claude Code, Cursor, Memex, etc) can “see” and “interact” with terminals exactly like humans do. In our demo video [2], you'll see it operating vim/emacs just as a human would - selecting options,…

    2025 · github.com · its alternatives →

  24. 24MC

    Hey HN, OpenAI released the Agents SDK yesterday, which is great because of its simplicity. I just added MCP support for it, which is currently available as a fork here: https://github.com/lastmile-ai/openai-agents-mcp (and on pypi as the openai-agents-mcp package). You can specify the names of MCP servers to give an Agent access to by setting its `mcp_servers` property. The Agent will then automatically aggregate tools from the MCP servers, as well as any `tools` specified, and create a single extended list of tools. This means you can seamlessly use MCP servers, local…

    2025 · 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 →