{"id":"soccer-mcp-server","name":"soccer-mcp-server","homepage":"https://pypi.org/project/soccer-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["mcp","sports","soccer","ai-agents","tooling"],"what_it_does":"An MCP server package for soccer-related data/operations, exposed to AI agents via the Model Context Protocol so agents can call soccer tools/functions.","use_cases":["Enable an LLM agent to query soccer information via MCP tools","Build match/team/league assistants that rely on external soccer data","Prototype agent workflows for sports Q&A and lightweight data retrieval"],"not_for":["Production-grade sports data pipelines that require strict SLAs or guaranteed data provenance","High-volume real-time applications without documented scaling/rate limits","Use cases requiring enterprise-grade governance/security controls without clear documentation"],"best_when":"You want an agent-friendly interface to soccer information and are already using MCP-compatible tooling.","avoid_when":"You need formal API contracts, strong auth controls, and documented reliability/error-handling guarantees from this package specifically.","alternatives":["Use direct sports data APIs (REST/GraphQL) from providers with OpenAPI specs","Use an MCP server template you control (to wrap an existing sports API)","Use an agent tool framework with a custom connector to a soccer data API"],"af_score":42.0,"security_score":35.5,"reliability_score":20.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:44:08.505809+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 auth requirements cannot be confirmed."},"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 was provided in the supplied content."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":42.0,"security_score":35.5,"reliability_score":20.0,"mcp_server_quality":45.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":25.0,"tls_enforcement":50.0,"auth_strength":30.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"No security-specific implementation details (TLS, auth, secret handling, dependency audit) were provided in the supplied content, so scores are conservative guesses based on absence of evidence.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":20.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["With limited documentation, agents may need to guess tool names/arguments unless MCP tool schemas are clearly defined.","Soccer data lookups may be sensitive to rate limits/timeouts; without documented guidance, agents may retry incorrectly.","If the MCP server lacks clear error codes/messages, agents may not know whether failures are transient vs permanent."]}}