F
licenseA
qualityC
maintenanceCentral registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.
12
-
mcp-agent-reliability
Related Servers
Alternatives to mcp-agent-reliability
Related Servers
- AlicenseAqualityCmaintenanceA read-only MCP server that reports token usage by agents and models, and recommends the cheapest safe model and effort level for a given task, helping to reduce token waste.21MIT
- AlicenseNot gradedqualityAmaintenanceA proxy server that wraps existing MCP servers to significantly reduce token consumption by compressing tool descriptions into a two-step interface. It enables users to integrate extensive toolsets without exceeding context limits or incurring high API costs.141Apache 2.0
- AlicenseAqualityDmaintenanceMCP server for measuring, tracking, scoring, and improving AI agent reliability with tools for recording interactions, scoring reliability, analyzing failures, recommending improvements, generating audit reports, and checking MCP health.8MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that gives AI agents observability over their own tool calls, enabling auditing, cost tracking, latency analysis, and alerting.MIT
- AlicenseNot gradedqualityCmaintenanceA local-first MCP server that reduces LLM token usage by intercepting, deduplicating, compressing, and optimizing MCP tool calls and responses.4 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that reduces token usage by lazily loading skills and tools only when needed, and routing repetitive subtasks to ML backends instead of the LLM.Apache 2.0
TDQS
A3.9/5.0
Scored across 5 tools
Disambiguation5/5
Each tool targets a distinct aspect of agent reliability: scoring descriptions, estimating token costs, simulating tool choice, generating test prompts, and producing a combined report. There is no overlap or ambiguity between them.
Naming Consistency4/5
Most names follow a clear verb_noun pattern (score_tool_description, estimate_token_cost, simulate_tool_choice, generate_agent_tests), but 'reliability_report' deviates as a noun_noun construction. The pattern is mostly consistent with one minor deviation.
Tool Count5/5
At 5 tools, the server is well-scoped for its purpose of assessing and improving MCP tool reliability. Each tool serves a distinct function without redundancy or bloat.
Completeness4/5
The set covers the core lifecycle: evaluating descriptions, estimating cost, predicting selection, generating tests, and summarizing results. A minor gap is the lack of direct test execution or runtime monitoring, but the provided surface is reasonably complete for its intended scope.
Maintenance
ActivityNo data
ResponsivenessSyncing