8 posts
The best MCP clients in 2026 compared: Askimo Desktop, Claude Desktop, Open WebUI, LibreChat, AnythingLLM, and Msty. MCP (Model Context Protocol) lets AI use real tools - GitHub, databases, local files, web search. This guide covers which chat client fits your workflow, what MCP features each supports, and how to get started in minutes.
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MCP and function calling both let an AI use tools. But function calling is a per-request contract you define in code, while MCP is a persistent protocol that exposes tools from a running server. This guide explains the difference clearly, when each approach makes sense, and how tools like Askimo Desktop let you use both without writing any code.
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Compare top 5 Gemini desktop clients for 2026. Askimo excels with native performance, multiple AI models support, RAG-powered project indexing, AI Plans for multi-step workflows, and Agent Skills backed by Gemini CLI, Claude Code, and Codex CLI. Google AI Studio offers official integration. Msty provides multi-provider desktop chat. BoltAI delivers Mac-native AI assistance. Chatbox offers minimal, lightweight chat. All support Gemini but differ in features, privacy, and multimodal capabilities. Includes setup guides and use-case recommendations.
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A generic resume gets ignored. Recruiters and ATS systems filter for exact keyword matches, role-specific language, and tailored experience framing. This guide shows how to use Askimo Plans as your AI resume tailor, automatically analysing a job post, mapping it to your experience, rewriting the relevant sections, and producing a customized resume ready to submit. No prompt engineering required.
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MCP (Model Context Protocol) lets your AI do real things, not just answer questions. Connect Askimo Desktop to GitHub, databases, local files, web search, and any API via Stdio or HTTP. Secrets stay in your OS keychain. Works with Claude, GPT, Gemini, and local Ollama models.
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A single ChatGPT prompt for stock research produces shallow, generic output. This guide shows a step-by-step AI workflow that mirrors how professional analysts actually think: profile the business, stress-test the financials, assess risk, then write the brief. Each stage builds on the last, producing output that is specific, traceable, and ready to export as PDF or Word.
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Askimo's RAG (Retrieval-Augmented Generation) with Ollama enables chatting with your documents, research papers, notes, and project files using local AI models like Llama, Mistral, and Phi. Automatically index PDFs, Word documents, spreadsheets, and text files with smart search. Ask questions about your content in plain English - all locally with zero data leaving your machine. Perfect for researchers, writers, students, and anyone managing large collections of documents.
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Compare top 5 Ollama desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. LM Studio offers easy model management. Open WebUI provides self-hosted team workflows. AnythingLLM focuses on document RAG for chatting with PDFs. Chatbox delivers minimal, lightweight chat. All support local-first privacy but differ in performance, RAG capabilities, and features. Includes setup guides and use-case recommendations.
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