{"id":"sam-maryland-sleeper-mcp-server","name":"sleeper-mcp-server","homepage":null,"repo_url":"https://github.com/sam-maryland/sleeper-mcp-server","category":"ai-ml","subcategories":[],"tags":["mcp","fantasy-football","sleeper","agent-tools","tiebreakers","standings","api-integration","go"],"what_it_does":"Sleeper MCP Server is an MCP (Model Context Protocol) server that lets an AI agent query Sleeper Fantasy Football data (e.g., league standings, members, weekly matchups) and apply custom league settings such as head-to-head tiebreaker calculations defined in a local configs/league_settings.json file.","use_cases":["Get current standings for one or more Sleeper fantasy leagues with custom tiebreakers","List all users/members in a Sleeper league","Retrieve weekly matchups and results for a given week","Recompute standings using head-to-head and other custom tiebreaker rules"],"not_for":["Teams seeking official, guaranteed-accuracy fantasy data tooling without custom-calculation behavior","Use cases requiring a general-purpose REST/GraphQL/SDK interface outside of MCP workflows","Environments that cannot run or expose an MCP server process"],"best_when":"You want an MCP-compatible agent to answer natural-language questions about your Sleeper fantasy leagues and you are comfortable configuring custom standings rules.","avoid_when":"You need strongly documented, contract-based APIs (OpenAPI), clear rate-limit semantics, or you require evidence of robust error handling/idempotent design from the provided materials.","alternatives":["Directly call Sleeper’s public API from your own app and implement tiebreaker logic","Use an existing fantasy analytics tool/library that supports custom tie-breaks","Build a thin MCP layer around Sleeper API endpoints you need, with your own error/retry and schema validation"],"af_score":35.8,"security_score":37.5,"reliability_score":12.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:51:48.826858+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":["Go"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"Authentication details are not present in the provided README. Integration likely depends on Sleeper API access patterns, but no evidence is given here."},"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; repository appears to be MIT-licensed code."},"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":37.5,"reliability_score":12.5,"mcp_server_quality":55.0,"documentation_accuracy":45.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":10.0,"tls_enforcement":60.0,"auth_strength":30.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"TLS/auth, dependency health, and secret handling are not evidenced in the provided README. The server likely fetches data from Sleeper’s API and uses local config; without documentation, assume secrets (if any) may be handled via environment/config and that agent prompt injection risks depend on how the server passes content between the agent and Sleeper endpoints.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":0.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["README does not show concrete tool schemas/tool names, error codes, or retry/idempotency guidance; agents may need to probe behavior during integration.","Custom standings behavior depends on configs/league_settings.json; malformed configuration could lead to incorrect responses without clear validation/error messaging."]}}