Use Read-Only MCP Tools Safely
Learn how to use read-only MCP tools in Feluda to retrieve and verify information without changing connected systems.
Technical guides and references.
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Learn how to use read-only MCP tools in Feluda to retrieve and verify information without changing connected systems.
Learn how to use MCP tools with local AI models in Feluda while understanding privacy boundaries, remote tool calls, hardware needs, and offline limits.
Learn how to use MCP tools offline in Feluda by keeping the AI model, server, sources, authentication, and destinations local.
Learn how to add connected MCP tools to Feluda Studio workflows and test them safely in repeatable processes.
Learn how to select, use, and review MCP-provided tools safely during a Feluda Workbench conversation.
Connect a compatible local AI model to Feluda and use it in Workbench or a workflow without relying on a cloud AI provider.
Learn how to read final output, intermediate results, warnings, errors, and completion states after running a Feluda workflow.
Learn what each Feluda Studio block does and how to choose the right building blocks for a clear, reliable AI workflow.
Learn how MCP tool permissions control read and write access, URLs, IP addresses, file paths, ports, accounts, and external destinations in Feluda.
Learn how to diagnose missed Feluda schedules, failed runs, timing problems, unavailable providers, local-model issues, and conflicting workflow actions.
Learn how to resolve empty, partial, outdated, malformed, duplicated, and inconsistent MCP tool results in Feluda.
Learn how to resolve unavailable MCP servers, authentication errors, missing tools, failed calls, permission problems, and incorrect results in Feluda.