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oraclaw-mcp-server

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.6/5.0

Scored across 17 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, with descriptions that guide selection among related tools (e.g., optimize_bandit vs. optimize_contextual, analyze_graph vs. plan_pathfind). No two tools appear to overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern with lowercase and underscores (e.g., `analyze_graph`, `predict_bayesian`, `solve_schedule`). The naming is predictable and clear throughout.

Tool Count5/5

With 17 tools covering optimization, prediction, simulation, risk, graph analysis, scheduling, and constraints, the count is well-scoped for a general-purpose analytical toolkit. Each tool earns its place without overwhelming the surface.

Completeness4/5

The tool surface provides comprehensive coverage for the stated domain (decision support, analytics, optimization). Minor gaps exist, such as missing tools for simple regression or categorical classification, but core workflows like prediction, simulation, and optimization are well-covered.

Maintenance

ActivitySlowing
ResponsivenessSlow

Resources