hyperd-mcpofficial
A
licenseA
qualityC
maintenancePre-trade DeFi intelligence for AI agents. 20 paid x402 endpoints, USDC on Base.
23
29 npm
1
MIT
mcp-omnifun
by 0xzcov
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TDQS
A3.7/5.0
Scored across 8 tools
Disambiguation5/5
Every tool has a clearly distinct purpose with no overlap: get_agent focuses on agent profiles, get_bonding_curve on curve states, get_how_to_buy on purchase instructions, get_supported_chains on network availability, get_token on token details, get_trending_tokens on discovery, search_tokens on search functionality, and simulate_trade on trade simulation. The descriptions reinforce these unique roles, eliminating any ambiguity.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, starting with 'get_' for retrieval tools and 'simulate_' for the simulation tool. This uniformity makes the set predictable and easy to navigate, with no deviations in style or structure.
Tool Count5/5
With 8 tools, the server is well-scoped for its purpose of providing information and simulation for the Omni.fun platform. Each tool serves a specific, necessary function—covering agent details, token data, trading instructions, chain support, discovery, search, and simulation—without redundancy or bloat.
Completeness4/5
The tool set offers comprehensive coverage for querying and simulating trades on Omni.fun, including agent profiles, token details, bonding curves, trading instructions, and chain support. A minor gap exists in the lack of tools for executing actual trades or managing user accounts, but the descriptions imply a read-only/simulation focus, and agents can work around this for most informational tasks.
Maintenance
ActivityInactive
ResponsivenessNo issues