{"id":"prompt-library-mcp-server","name":"prompt-library-mcp-server","homepage":"https://pypi.org/project/prompt-library-mcp-server/","repo_url":"https://github.com/AiAgentKarl/prompt-library-mcp-server","category":"ai-ml","subcategories":[],"tags":["ai","ai-agent","mcp","mcp-server","prompts","templates","python"],"what_it_does":"Provides an MCP server (via a Python package) exposing tools to search, retrieve, share, and rate prompts from a community prompt library, with several pre-loaded prompt templates.","use_cases":["Retrieve ready-to-use prompts for common agent tasks (code review, API docs, data analysis, bug investigation, market research, security audits)","Search prompts by keyword/category to speed up agent configuration","Share and curate prompts within a community library","Use prompt popularity signals (upvotes/downvotes) to select higher-quality prompt templates"],"not_for":["Production systems requiring guaranteed API stability/SLAs without further validation","Use cases needing strong access control, audit logging, or compliance guarantees (not documented here)"],"best_when":"You want quick setup of an MCP-based prompt library for agent workflows and can tolerate limited documentation/unknown runtime behaviors.","avoid_when":"You require fine-grained authentication/authorization, well-specified error semantics, or clear rate limiting guarantees from this package alone.","alternatives":["Other MCP servers or prompt registries with documented OpenAPI/SDKs","Custom prompt catalogs stored in your own repo with a thin MCP wrapper","General-purpose vector DB/search + prompt templates stored as static content"],"af_score":44.5,"security_score":27.8,"reliability_score":18.8,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:47:49.334281+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 in the provided README/manifest."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing model or hosting/service fees are mentioned; appears to be an installable library."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":44.5,"security_score":27.8,"reliability_score":18.8,"mcp_server_quality":45.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":95.0,"rate_limit_clarity":10.0,"tls_enforcement":30.0,"auth_strength":20.0,"scope_granularity":20.0,"dependency_hygiene":45.0,"secret_handling":30.0,"security_notes":"No authentication/authorization details, TLS/transport details, or secret-handling practices are documented in the provided materials. The package depends on mcp and pydantic; without lockfiles/CVE info, dependency hygiene is estimated.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":20.0,"error_recovery":25.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Package documentation shown is limited to high-level tool names; specific MCP schemas (input/output shapes, error codes, pagination) are not provided here.","No documented authentication, rate limits, or operational semantics; agent behavior under failure conditions is uncertain."]}}