{"id":"stocktrim-mcp-server","name":"stocktrim-mcp-server","homepage":"https://pypi.org/project/stocktrim-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["mcp","ai-agents","finance","tools","stock"],"what_it_does":"stocktrim-mcp-server is an MCP server package intended to expose stock-trimming / stock-analysis related functionality to AI agents via the Model Context Protocol (MCP).","use_cases":["Provide an AI agent with tool access to stock trimming/stock data operations","Enable automated retrieval/transformation of stock-related information for downstream agent workflows","Integrate stock-trimming capabilities into agent runtimes that support MCP"],"not_for":["Direct end-user stock trading or brokerage operations","Use as a replacement for a dedicated market data/trading API with explicit licensing/compliance guarantees","Production deployments without verifying data sources, auth model, and operational behavior"],"best_when":"You want to integrate stock-trimming logic into an MCP-capable agent workflow and you can supply/verify required configuration and data sources.","avoid_when":"You need a documented REST/SDK experience, strict audit/compliance guarantees, or fine-grained auth and rate-limit controls without additional investigation.","alternatives":["Use a dedicated market data API with a documented REST/SDK integration","Implement the stock-trimming logic directly in your own service and expose a well-documented REST API","Use other existing MCP servers/tools in your ecosystem for financial data operations"],"af_score":35.8,"security_score":43.8,"reliability_score":17.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:43:29.614370+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 details were provided in the supplied content, so the auth approach is unknown."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":35.8,"security_score":43.8,"reliability_score":17.5,"mcp_server_quality":45.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":40.0,"scope_granularity":30.0,"dependency_hygiene":45.0,"secret_handling":45.0,"security_notes":"No security/auth/configuration details were provided. Scores assume typical defaults for an MCP server project, but they are speculative without explicit evidence of TLS requirements, secret management practices, and dependency vulnerability status.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":0.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Because tool schemas, parameters, and operational semantics were not provided, agents may struggle with required inputs and expected output formats.","Without documented retry/idempotency guidance, agents may produce duplicate calls during failures."]}}