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Highlights

  • At work, we’ve been building agentic workflows to support our internal Delivery team on various accounting, cash reconciliation, and operational tasks. To better guide that project, I wrote my own simple workflow tool as a learning project in January. Since then, the Model Context Protocol (MCP) has become a prominent solution for writing tools for agents, and I decided to spend some time writing an MCP server over the weekend to build a better intuition. (View Highlight)
  • The output of that project is library-mcp, a simple MCP that you can use locally with tools like Claude Desktop to explore Markdown knowledge bases. I’m increasingly enamored with the idea of “datapacks” that I load into context windows with relevant work, and I am currently working to release my upcoming book in a “datapack” format that’s optimized for usage with LLMs. library-mcp allows any author to dynamically build datapacks relevant to their current question, as long as they have access to their content in Markdown files. (View Highlight)
  • More practically, I’ve already experimented with friends writing their CTO onboarding plans with Your first 90 days as CTO as a datapack in the context window, and you can imagine the right datapacks allowing you to go much further. Writing a company policy with all the existing policies in a datapack, along with a document about how to write policies effectively, for example, would improve consistency and be likely to identify conflicting policies. (View Highlight)
  • Altogether, I am currently enamored with the vision of useful datapacks facilitating creation, and hope that library-mcp is a useful tool for folks as we experiment our way towards this idea. (View Highlight)