{"id":"birdseyevue-daisyui-mcp","name":"daisyui-mcp","homepage":null,"repo_url":"https://github.com/birdseyevue/daisyui-mcp","category":"devtools","subcategories":[],"tags":["mcp","fastmcp","daisyui","tailwindcss","ai-agents","developer-tools","documentation","retrieval"],"what_it_does":"Provides a local MCP (Model Context Protocol) server that exposes DaisyUI component documentation as MCP tools. It can fetch DaisyUI’s public `llms.txt` and store component docs as local Markdown, then serve two tools: list components and get component documentation.","use_cases":["LLM/agent-assisted UI generation using DaisyUI component docs","Retrieval of component class syntax and examples for specific DaisyUI components","Offline/local agent workflows that avoid sending full documentation to the model","Customization of component docs by editing local Markdown"],"not_for":["Production hosted, internet-facing use without additional hardening","Scenarios requiring authenticated/role-based access control for documentation tools","Use as a general DaisyUI component renderer or CSS/JS execution environment","Teams needing audited/legal-approved documentation ingestion pipelines"],"best_when":"You run a local agent that needs fast, tool-based access to DaisyUI component descriptions and examples, and you can periodically update the local docs.","avoid_when":"You need strict security controls (authZ, secrets management, tenant isolation) or you plan to expose the MCP server to untrusted networks/users without compensating controls.","alternatives":["Directly fetch and index DaisyUI docs (e.g., scrape/ingest `llms.txt`) into your own RAG system","Use a generic documentation MCP/HTTP tool plus your own DaisyUI-specific indexing","Manually maintain component cheat-sheets as prompts/snippets without MCP"],"af_score":60.8,"security_score":29.8,"reliability_score":30.0,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:23:05.046989+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication mechanism is described; intended use appears to be local execution (Python script or Docker). If exposed remotely, you must add network/firewall protections or run behind an authenticated gateway."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No hosted service pricing described; this is a local MCP server."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":60.8,"security_score":29.8,"reliability_score":30.0,"mcp_server_quality":78.0,"documentation_accuracy":75.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":10.0,"auth_strength":20.0,"scope_granularity":0.0,"dependency_hygiene":45.0,"secret_handling":80.0,"security_notes":"Intended for local use; no auth is documented. If run in Docker or bound to a network port, you should restrict access. It fetches DaisyUI `llms.txt` and writes local files—ensure supply-chain and integrity considerations are handled (pinning, checksums, trust of upstream). No information is provided about dependency vulnerabilities, TLS, or secret handling practices.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":50.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":"Docs-update command (`update_components.py`) is likely repeatable, but idempotency guarantees (no partial writes, atomic updates) are not described.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Tool set appears limited to `list_components` and `get_component`; agents may need to handle missing components or outdated local docs","If docs are not yet fetched (first run), `get_component` may fail until `update_components.py` has been run","No documented rate-limit or server-side throttling behavior; agents should avoid aggressive polling if the server is resource-constrained"]}}