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Sachin2400

enterprise-mcp-gateway

by Sachin2400

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      quality
      C
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      Exposes nine governed analytics tools — attrition, headcount, tenure, salary, promotion, and more — plus a restricted read-only SQL execution path, so an HR analyst's plain-English question resolves to a versioned, reproducible method instead of free-form LLM-written SQL. Tool selection is driven by the LLM, while role-based access control, PII screening, SQL guards, result validation, and audit logging keep every answer within policy.
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    • A
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      quality
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      maintenance
      An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Exposes twelve annotated tools over stdio JSON-RPC that let an MCP client search an HR policy corpus and query mock employee records, PTO, benefits, travel history, and ticketing data. This enables grounded, citation-backed answers to HR policy and operations questions that require combining written rules with a specific employee's data.
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    • F
      license
      Not graded
      quality
      C
      maintenance
      An 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.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables answering authorized HR questions by exposing a set of read-only MCP tools over synthetic SuccessFactors-style data, with optional AI agent orchestration and configurable modes for mock, demo, or real test tenant usage.
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