botindex-mcp-server
Related Servers
Alternatives to botindex-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceAn MCP server that powers AI agents with indexed blockchain data from The Graph.3MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that gives AI agents real-time access to DeFi across multiple chains, enabling non-custodial crypto trading, portfolio queries, and transaction execution.07MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes blockchain data as native tools for AI agents, enabling read-only queries like wallet balances and token holdings on Ethereum, Polygon, and Base.MIT

Armor Crypto MCPofficial
AlicenseCqualityCmaintenanceAn MCP server providing unified access to blockchain operations, bridging, swapping, and crypto trading strategies for AI agents.37179GPL 3.0
Syeniteofficial
FlicenseNot gradedqualityDmaintenanceA DeFi MCP server enabling AI agents to query lending rates, execute swaps/bridges, monitor positions, and access prediction markets across 30+ chains with a trust layer for calldata verification.-- AlicenseAqualityDmaintenanceAn MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens.22MIT
TDQS
Scored across 38 tools
The tools are grouped by domain (e.g., Agorion, BotIndex crypto, Hyperliquid, sports, Zora), which helps with differentiation, but there is significant overlap within domains. For example, botindex_crypto_intel, botindex_crypto_tokens, and botindex_crypto_graduating all relate to crypto intelligence with unclear boundaries, and botindex_hl_whale_alerts vs. botindex_hl_whale_alerts_full are redundant. Descriptions provide some clarity, but agents may struggle to choose between similar tools.
Tool names follow a highly consistent pattern: most start with 'botindex_' or 'agorion_' as a prefix, followed by descriptive snake_case terms (e.g., 'crypto_intel', 'sports_odds'). This consistency makes the set predictable and easy to parse, with no mixing of naming conventions like camelCase or irregular verbs.
With 38 tools, the count is excessive for a single server, indicating poor scoping. While the domain (crypto, sports, prediction markets) is broad, many tools could be consolidated (e.g., multiple Hyperliquid or Zora tools). This volume risks overwhelming agents and suggests fragmentation rather than a cohesive toolset.
The toolset covers a wide range of domains (Agorion discovery, crypto analytics, sports betting, prediction markets) with detailed operations like scanning, analytics, and intelligence. Minor gaps exist, such as no explicit update or delete tools, but these are less relevant for the data-focused domain. Overall, it provides comprehensive coverage for its intended purposes.