Simon Willison
MCP was always a bad idea?
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Simon Willison
2d ago
llm-keys-ui 0.1
The release of llm-keys-ui 0.1 introduces a plugin that allows users to manage API keys on remote machines without pasting them into the ChatGPT app. By running a simple command, the plugin provides a local or Tailscale URL for an interface where additional keys can be saved, and later retrieved via a shell command. This streamlines key management for coding agents used in LLM projects.
Simon Willison
Aug 19
Quoting Jeremy Morrell
My hypothesis is that there is a new opportunity for Extensible Software on the web . LLMs radically lower the cost of authoring extensions, and modern sandbox primitives lower the deployment cost and provide good security boundaries.
arXiv AI
Jun 2
Attested Tool-Server Admission: A Security Extension to the Model Context Protocol
arXiv:2605. 24248v2 Announce Type: replace-cross Abstract: The Model Context Protocol (MCP) standardizes how a large-language-model (LLM) agent and an external tool server exchange messages, but not trust: a host reads a server's self-declared tool list and dispatches calls, with no notion of which servers it may use, at what sensitivity, or which of a server's tools are in bounds.
arXiv AI
Aug 12
A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
arXiv:2608. 10760v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) has become the de-facto interface for connecting LLM agents to enterprise tools, and adoption has been explosive: within a year, large organizations went from zero to dozens of internally built MCP servers.
Towards Data Science
Jun 15
The Protocol That Cleaned Up Our Agent Architecture
A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server The post The Protocol That Cleaned Up Our Agent Architecture appeared first on Towards Data Science .
Hugging Face Trending Papers
Jun 29
MCP Server Architecture Patterns for LLM-Integrated Applications
The Model Context Protocol (MCP), introduced by Anthropic in November 2024, defines a standardized interface for connecting large language models (LLMs) to external tools, data sources, and services. Within months of release, hundreds of community-built MCP servers appeared on GitHub, but no software-maintenance literature has yet described how the ecosystem is being structured in production.