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Search results for “MCP”

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90 results for “MCP”

  1. Wisp Science keeps AI research local and traceable

    #Wisp Science#Research Tools#Local AI

    appear as separate runs with logs. The project bundles MCP connections for scientific data sources, including PubMed and GEO. PDFs, Office documents, images, and notebooks can be previewed inside the application. A

  2. VoltAgent organizes agent building in TypeScript and a console

    #VoltAgent#VoltOps#AI Agents

    blocks for agents: memory, RAG, guardrails, tools, MCP, voice, and workflows. According to the official site, the entry point is npm create voltagent-app@latest. That makes the focus clear: TypeScript projects and

  3. Skyvern makes browser automation more resilient for teams

    #Skyvern#Browser Automation#AI Agents

    through Docker Compose, webhooks, event streaming, and MCP support. Technically, Skyvern sits between classic browser control and an agent that interprets the interface. A classic script says: click the button with

  4. GPT Researcher makes deep research easier to inspect

    #GPT Researcher#Research Tools#Open Source AI

    API and Docker use, as well as integrations such as MCP. That makes GPT Researcher more of a toolkit component than a simple chatbot. A user provides a question or research topic. The agent breaks down the task, searches

  5. AnySearch builds search for agents instead of humans

    #AnySearch#AI Search#AI Agents

    site positions AnySearch as AI-native search with API, MCP, and Skill integration. The About page argues that agents need more than links: they need current, trustworthy, machine-readable information with source context.

  6. Jupyter AI brings agents directly into notebooks

    #Jupyter AI#Research Tools#Data Science

    commands, and interact with notebooks through the Jupyter MCP Server. The permission model is important. According to the getting-started documentation, agents should ask for permission before doing anything beyond

  7. CodeRabbit reviews pull requests in the agent era

    #CodeRabbit#AI Code Review#Developer Tools

    CodeRabbit says changed files such as skill files, MCP configurations, Claude Desktop configurations, Cursor rules and Codex configurations are checked for security risks. That fits the new reality: not only source code,

  8. VoltAgent brings observability to TypeScript agents

    #VoltAgent#AI Agents#TypeScript

    the engineering frame around agents: memory, RAG, tools, MCP, workflows, voice, traces, and deployments. For teams in the TypeScript stack, VoltAgent can therefore be more relevant than another no-code agent builder.

  9. Mastra brings AI agents into the TypeScript stack

    #Mastra#AI Agents#TypeScript

    Mastra bundles agents, workflows, memory, workspaces, MCP support, evals, and observability in an environment that feels familiar to web and backend teams. What Mastra actually does Mastra provides building blocks for

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