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  • F
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    maintenance
    Enables querying internal documents indexed in Glean through a natural-language chat interface, returning answers with cited sources.
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  • F
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    quality
    D
    maintenance
    A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.
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  • F
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    quality
    B
    maintenance
    Enables AI chatbots to securely answer natural-language questions against Oracle databases by discovering metadata, generating and validating read-only SQL, executing with limits, masking sensitive data, and logging all activity.
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  • F
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    maintenance
    Publishes a read-only MCP tool server (stdio transport) that exposes customer loan data, including active loans, overdue payment status, loan details, and debt-to-income (DTI) analytics. It lets an LLM agent answer natural-language banking inquiries from mock loan and payment records without any write, update, or delete tools.
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  • F
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    D
    maintenance
    An MCP server exposing calculator, file read, and file write tools for the Gemini CLI agent, enabling mathematical computations and file operations through natural language.
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  • F
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    An MCP chatbot server that answers questions about a Reinforcement Learning graduate project by dynamically selecting and calling structured tool functions to retrieve precise project data, including training rounds, hyperparameters, and infrastructure details.
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  • F
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    quality
    D
    maintenance
    Exposes a local RAG document index as MCP tools (ask, search, rebuild_index, status) for MCP clients like Claude Desktop and Claude Code to query your documents over stdio.
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  • F
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    quality
    D
    maintenance
    A server that powers an interactive chatbot for querying and managing tax alerts in a SQLite database using Google Gemini models and LangGraph's REACT agent framework.
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  • A
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    maintenance
    A simple MCP server for chatbot/human collaborative management of text content stored as markdown files with YAML frontmatter.
    3
    MIT
  • F
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    quality
    D
    maintenance
    MCP server that tracks questions a RAG chatbot can't answer, clusters them by semantic similarity, and suggests what documentation to add.
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  • F
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    maintenance
    A Flask-based chatbot using Gemini 2.5 Flash and MCP tools to manage GitHub repositories and LinkedIn profiles via natural language.
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  • F
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    quality
    D
    maintenance
    Demonstrates an MCP server with tools, resources, and prompts for a knowledgebase chatbot that queries a ChromaDB vector database for RAG responses.
    62
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  • F
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    quality
    D
    maintenance
    AI-driven chatbot orchestrator using Nvidia NIM Nemotron-3 (120B) to read and write Google Sheets via MCP and serverless Lambda.
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  • F
    license
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    quality
    C
    maintenance
    Enables an agentic chatbot that autonomously selects among weather, Wikipedia, ArXiv, web search, location, and currency conversion tools based on user queries.
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  • F
    license
    A
    quality
    D
    maintenance
    Enables filling uploaded document templates (DOCX/HWP/HWPX/PDF) with chatbot-generated content while preserving original formatting, tables, and images, and saving as files.
    4
    1
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  • A
    license
    A
    quality
    A
    maintenance
    Russian-text AI-trace detection and typography normalization over stdio MCP: finds chatbot copy-paste artifacts and invisible marks, counts soft AI-style signals; four tools, stdlib-only, no keys required.
    2
    7
    141
    MIT
  • A
    license
    B
    quality
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    maintenance
    Enables read-only interaction with NetBox network documentation and infrastructure data through LLMs. Allows querying devices, sites, IP addresses, and viewing change history via natural language.
    3
    Apache 2.0
  • F
    license
    B
    quality
    C
    maintenance
    An AI-powered chatbot that researches and tracks LLM inference pricing across providers, stores structured pricing data locally, and answers pricing questions via natural language.
    2
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  • A
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    Not graded
    quality
    B
    maintenance
    Enables employees to ask natural-language questions about a client's dbt semantic layer through the chatbot they already use, asking for clarification when needed, refusing when data can't answer, and logging every interaction so the semantic layer improves over time.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.
    MIT