mcp-hr-knowledge-evals
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Alternatives to mcp-hr-knowledge-evals
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables natural-language querying of simulated HR data through a safety-gated MCP tool layer, routing questions to SQL or policy document retrieval with PII masking, role-based access, and an offline evaluation harness.MIT
- FlicenseNot gradedqualityDmaintenanceMCP server that enables querying an HR FAQ document via RAG, returning accurate answers and related chunks, and supports index rebuilding and response evaluation.-
- FlicenseNot gradedqualityCmaintenanceEnables retrieval-augmented question answering over company policy documents via MCP tools and resources, with optional Claude-generated grounded summaries.-
- FlicenseNot gradedqualityBmaintenanceEnables querying corporate knowledge such as HR policies, vendor contracts, and support FAQs, with every answer grounded in an exact source and retrieval quality and hallucination rate explicitly measured.-
- FlicenseCqualityDmaintenanceAgentic HR assistant providing employee, leave, meeting, ticket, and email tools over the Model Context Protocol, designed to automate onboarding workflows via an MCP client such as Claude Desktop.14-
- FlicenseNot gradedqualityDmaintenanceAn MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.-
TDQS
Scored across 3 tools
Each tool targets a distinct output: policy text with citations, onboarding milestones, and a coaching rubric/agenda. There is mild conceptual overlap since onboarding expectations and coaching guidance often live inside HR policy, so an agent could occasionally route an onboarding question to query_hr_policy instead.
All names follow snake_case verb_noun structure (query_, get_, fetch_), which is readable and predictable. Minor deviation: 'fetch_manager_coaching_rubric' actually synthesizes content rather than fetching it, so the verb slightly misrepresents the action.
Three tools is on the lean side but each earns its place in a narrow HR knowledge/evals domain with no redundant operations. Scoping is tight rather than padded, though the surface is thin enough that users may wish for one or two more entry points.
For a read-only HR knowledge server, coverage is reasonable: policy lookup, onboarding lifecycle guidance, and manager coaching scenarios. Minor gaps exist, such as no way to enumerate available policy categories or resolve citation ids as a follow-up, but agents can work around these via query_hr_policy.