What LLM providers are supported?
Mcpixir works with any LLM that supports tool calling, including OpenAI, Anthropic, and Groq. You must configure the corresponding API keys.
@ramonlimaramos
基本情報
🌐 Mcpixir is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Mcpixir is an open-source Elixir library that lets developers connect any LLM supporting tool calling to any MCP server, enabling custom agents with tool access for web browsing, file operations, and more. It is designed for Elixir developers building agent-based applications.
Add mcpixir to your mix.exs dependencies, configure LLM provider API keys (e.g., OPENAI_API_KEY), then create an MCP client, configure your LLM, create an agent, and run queries—all in about six lines of code. Use Mix tasks like mix mcpixir.chat to quickly test examples.
Mcpixir works with any LLM that supports tool calling, including OpenAI, Anthropic, and Groq. You must configure the corresponding API keys.
Yes. Mcpixir supports multi-server configuration. An agent can access tools from all configured servers, and dynamic server selection can be enabled to choose the best server per task.
You can provide a list of disallowed tool names when creating the agent (e.g., `disallowed_tools: ["file_system", "network"]`) to control what the agent can use.
Yes. Mcpixir can connect to MCP servers via HTTP using SSE endpoints, configured via the `url` field in the server configuration.
Elixir 1.15 or later, and API keys for the chosen LLM provider. The library is available on Hex.pm.

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

Design review for UI code, inside your agent. quick_review checks the files you just changed in about ten seconds. review_files returns a 0-100 score and patches. verify_fixes confirms the fixes landed, free. review_url

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
コメント