HR Policy Chatbot
RagChatbot_MCPServer is a localhost MCP server implementation that enables a RAG-based HR chatbot to provide workplace rules information from PDF documents. Built with OpenAI models and LangChain utilities, the server orchestrates document indexing, retrieval, and answer generation through function calling. It features PDF parsing, text chunking with RecursiveCharacterTextSplitter, document indexing with OpenAIEmbeddings, and similarity search to retrieve relevant content. The implementation includes a Streamlit interface for user interaction and supports email sending capabilities, making it particularly useful for HR departments needing to provide policy information from documentation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- communication
- Source
- PulseMCP
- Repository
- github.com/imvirtue/ragchatbot_mcpserver
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve HR Policy Chatbot from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.