{"id":"guinacio-langchain-mcp-client","name":"langchain-mcp-client","af_score":39.0,"security_score":31.0,"reliability_score":35.0,"what_it_does":"A Streamlit-based LangChain MCP client web app that lets users connect to MCP (Model Context Protocol) servers for tool access and chat with multiple LLM providers (OpenAI, Anthropic, Google Gemini, and local Ollama). It includes streaming responses, multimodal/file attachments, multi-server tool integration, and session/persistent memory backed by LangGraph (in-memory + SQLite).","best_when":"Used as a developer playground or internal tool to manually validate MCP servers/tools and iterate on agent prompts/configurations.","avoid_when":"Avoid exposing it to untrusted users or running it without isolating secrets and MCP endpoints; avoid reliance on it for compliance-sensitive workloads without further hardening.","last_evaluated":"2026-03-30T15:23:45.748131+00:00","has_mcp":true,"has_api":false,"auth_methods":["Provider API keys for OpenAI/Anthropic/Google (implied by README troubleshooting and 'API Key Errors')","No dedicated app authentication described (UI-side only)"],"has_free_tier":false,"known_gotchas":["UI/stateful interaction can complicate automated agent usage versus an API-first service","MCP server connectivity depends on network access and correct transport/URL (example uses SSE)","Model parameter compatibility varies by provider (e.g., reasoning model parameter handling; temperature constraints)","Streaming fallback is mentioned but not detailed—behavior may vary by model/provider"],"error_quality":0.0}