AI · alternatives · 2026
24 alternatives to Reusable MCP Playbooks for AI Agents
MCP Playbooks for AI agents. Contribute to fdmtl/director development by creating an account on GitHub.
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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API to MCP▲195Turn any API into an MCP server for AI agents
Jun 2026 · apitomcp.ai · its alternatives →
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Global APIs as MCP powered by AI Gateway
2025 · mcp.higress.ai · its alternatives →
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Re-usable Playbooks for AI Agents, built on MCP.
2025 · director.run · its alternatives →
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Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai · its alternatives →
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An Excel AI agent that uses MCP tools to let LLMs read, edit, and automate Excel spreadsheets. - SylvianAI/sv-excel-agent
Dec 2025 · github.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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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 →
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Action library for AI Agent. Contribute to sheet0/npi development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Crowsourced tips from tech support and AI leaders
2023 · twig-ai-contents.webflow.io · its alternatives →
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While building with AI agents, I kept running into the same problem: testing even tiny changes to a prompt or tool required either running my entire app or writing throwaway scripts. Both were slow and constantly broke my flow. I’ve always loved how Storybook lets you work on UI components in isolation, so I tried applying the same idea to agents. Agent Playbook is an open-source, Storybook-like playground for developing and debugging AI agents. It automatically discovers your agents, spins up a local web UI, and gives you an interactive environment to test them. You can chat with an agent,…
Nov 2025 · orlevii.github.io · its alternatives →
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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 →
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AI Agents Listing is a curated directory for the agentic ecosystem. It helps you discover AI agents, MCP servers, and drop-in agent skills, ranking them by real engagement rather than ads. You can browse popular categories, view leaderboards, and submit your own tools to get disc
Sep 2026 · aiagentslisting.com · its alternatives →
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Plug-and-play AI agents via dynamic tool discovery with MCP
2025 · github.com · its alternatives →
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Parse video game save files, serve structured game state to AI assistants via MCP - joshsymonds/savecraft.gg
Mar 2026 · github.com · its alternatives →
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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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Convert Postman APIs into type-safe AI tools seamlessly
2025 · github.com · its alternatives →
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Model Context Protocol (MCP) is a new open standard that gives AI agents a universal interface to external tools and data. Discover how MCP empowers more powerful, autonomous AI assistants to perform real-world tasks seamlessly.
2024 · agnt.one · its alternatives →
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We spoke to dozens of devs trying to deploy agents in prod. We found that most of them have the following dilemma (and end up not deploying because of this): giving the agents freedom to choose from a list of tools while guaranteeing that every call stays secure, fast, and actually works. That’s why we built MCPglue. It gives you the reliability you’re looking for when deploying in prod, and agents the custom tools they need to do their job well. Here’s a walkthrough of how it works: https://www.youtube.com/watch?v=uc-jdM9XnhE MCPglue lets your agent build its own tools. It…
2025 · superglue.ai · 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 →