xmcp
xmcp is an open-source (MIT) TypeScript framework from basement.studio for building and shipping MCP servers, with file-based tools, prompts and resources and deploy-ready adapters.
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About xmcp
xmcp is listed in our frameworks category and is aimed at builders. xmcp is an open-source (MIT) TypeScript framework from basement.studio for building and shipping MCP servers, with file-based tools, prompts and resources and deploy-ready adapters. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-11-01.
xmcp at a glance
- Category: Frameworks
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- GitHub: basementstudio/xmcp · 1,348 stars (as of Nov 1, 2026)
- Official site: xmcp.dev
- Listed on AgentScout: Nov 1, 2026
xmcp FAQ
What is xmcp?
xmcp is an open-source (MIT) TypeScript framework from basement.studio for building and shipping MCP servers, with file-based tools, prompts and resources and deploy-ready adapters.
How much does xmcp cost?
xmcp's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find xmcp's source code?
On GitHub at basementstudio/xmcp, which had 1,348 stars as of Nov 1, 2026.
What are alternatives to xmcp?
Similar tools include Haystack, VoltAgent, Genkit, Agent-Native (Builder.io), Sage and DSPy.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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xmcp alternatives
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Agent-Native (Builder.io)
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Sage
Sage is an open-source (MIT) RSI agent harness, where RSI stands for Recursive Self-Improvement: it improves agents using feedback from their tasks. Starting from a goal or a curated usage history, it runs the agent, has a separate evaluator grade the results, tunes the agent and keeps every version with its evidence, so you decide which one to adopt. It comes as a Desktop app, a multi-user Server with Agent Studio, and the SAgents Python runtime, with support for Skills, MCP, multi-agent setups and sandboxed runs with approvals.
DSPy
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