Sleeper Fantasy Football
MCP server implementation by einreke that provides AI assistants with complete access to the Sleeper Fantasy Football API for retrieving user profiles, league data, rosters, matchups, draft information, and player statistics. Built in Python using the requests library, the implementation offers 18 tools covering the full spectrum of Sleeper's read-only API including user league management, real-time matchup data, playoff brackets, transaction history, draft picks, and trending player analytics based on add/drop activity. The server requires no API authentication since Sleeper's API is publicly accessible, includes comprehensive test coverage with both unit tests and smoke tests, and serves fantasy football enthusiasts, sports analysts, and developers building fantasy sports applications who need programmatic access to league management data, player performance metrics, and social fantasy football insights.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/einreke/sleeper-scraper-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Sleeper Fantasy Football from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.