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90 results for “MCP”
… score, and test exposed AI infrastructure. That includes MCP servers, Ollama instances, vLLM or LiteLLM proxies, LangServe chains, Gradio apps, and ComfyUI nodes. The topic is urgent because teams often publish AI tools …
… For local AI agents, OpenHistory exposes an authenticated MCP server on loopback. It returns a redacted, read-only projection instead of the complete activity log. Each connection receives independently revocable …
… Claude Code, Windsurf, Codex, Gemini CLI, OpenCode and any MCP-compatible client. What Salt Code actually does Salt Code connects Salt's policy layer with AI coding assistants, repositories, CI/CD and runtime signals. …
… as a lightweight agent framework with memory, tool use, MCP support, skills, and multi-agent capabilities. On May 28, 2026, version 0.6.5 added structured run results, streaming events, catchable errors, and tool …
… tools, checkpoints, code reviews, shell functions, and MCP extensions are meant to sit inside one working model. What IBM Bob actually does Bob offers an IDE experience with chat, code generation, code completion, …
… and code examples into the prompt or, through MCP, directly into the agent's tool surface. That matters for developers because most AI-coding failures are not dramatic. They often come from small API changes, outdated …
… custom Model Context Protocol servers via "Bring Your Own MCP". Which apps Grok touches starting May 6, 2026 xAI's official blog lists Google Workspace, Microsoft 365, SharePoint, Notion, GitHub and Linear as built-in …
… navigate and read web pages. Third, the project includes MCP integrations, so agents can not only operate the browser but also talk to services such as Gmail, Calendar, Slack, Notion or custom MCP servers. The project …
… deterministically without further model costs. A native MCP interface can also expose Lightpanda as a browser tool to agents. The project provides nightly binaries for Linux and macOS, Docker images, and Homebrew and AUR …
… features such as a JavaScript SDK, Python SDK, CLI, MCP client and OpenAI-compatible API. That makes LM Studio a concrete tool for people who do not want to send every AI task straight to the cloud. It is especially …
