IPL MCP Server
Related Servers
Alternatives to IPL MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceAn MCP server that enables natural language querying of over 10 million ball-by-ball cricket deliveries stored in a local DuckDB database. It provides 26 tools for analyzing player matchups, situational stats, and historical records across all major cricket formats and tournaments.2-
- FlicenseNot gradedqualityBmaintenanceEnables cricket analytics via natural language, including player stats, team performance, match results, comparisons, and news, powered by OpenAI and MCP.-
- FlicenseNot gradedqualityDmaintenanceEnables querying log data stored in SQLite databases through the Model Context Protocol, allowing natural language interactions with log analysis.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with SQLite databases by executing read and write queries, listing tables, and inspecting schemas. It provides a secure, local interface for database management and data retrieval through the Model Context Protocol.2MIT
- AlicenseNot gradedqualityAmaintenanceEnables plain-language cricket analytics for MCP clients, including calibrated win probability, ball-by-ball match archives, career and matchup records, venue and phase stats, and live scores, all without an API key.BSD 3-Clause
- AlicenseBqualityDmaintenanceProvides comprehensive NBA statistics via Model Context Protocol, enabling queries for player stats, game scores, team info, and advanced analytics through natural language.2110MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'query_ipl_data' has a clearly defined purpose that cannot be confused with any other tool in this server.
The single tool name 'query_ipl_data' follows a clear verb_noun pattern. With only one tool, naming consistency is inherently perfect as there are no other tools to compare against or create inconsistencies with.
A single tool for an IPL cricket data server feels too thin for the apparent scope. The examples suggest complex queries about matches, players, venues, and statistics, which would typically require multiple specialized tools for a complete interface. One tool attempting to handle all these diverse queries through natural language is insufficient for proper domain coverage.
The server appears to cover IPL cricket data, but with only one natural language query tool, the surface is severely incomplete. There are no dedicated tools for specific operations like retrieving match details, player statistics, team information, or venue data. The single tool approach creates significant gaps that will likely cause agent failures when trying to perform structured operations.