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  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes order status lookup and knowledge base search tools from the Support Agent AI over MCP, enabling MCP clients to handle customer support queries with grounded, citation-backed answers.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to handle customer support by looking up order status, semantically searching knowledge bases, and creating support tickets through MCP tools, with grounded answers and automated evaluations.
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes a support-ticket inbox as tools an AI client can use to list, inspect, triage, and update tickets, including LLM-based category, priority, and sentiment classification with a drafted first response informed by similar past tickets. It works with a mocked dataset styled after a home-loan partner-support inbox, with the tool interface designed so a real ticket source could be swapped in later.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables enterprise SaaS support teams to get retrieval-augmented answers from indexed support documentation and to run natural-language questions as SQL queries against a support PostgreSQL database. It returns answers with source references and exposes the generated SQL alongside its results, with optional tracing and evaluation.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables natural language querying and semantic search over a bilingual customer support ticket dataset using SQL and embeddings.
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  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables job-application lookup and domain support through MCP, exposing tools such as job lookup by ID over a local HTTP endpoint.
    -
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP-compliant clients and autonomous agents to pick optimal few-shot in-context exemplars by combining semantic token overlap, cosine similarity, and Maximal Marginal Relevance diversity ranking for prompt optimization. Runs deterministically on the Python standard library with zero external dependencies, avoiding frontier LLM round-trips for sub-millisecond selection.
    7
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  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents and MCP clients to dynamically select few-shot in-context examples using semantic token overlap, cosine similarity, and MMR diversity ranking to optimize prompts deterministically without external dependencies.
    7
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables ticket management through a REST API and support document search via a local vector database, powered by Ollama and LanceDB.
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  • F
    license
    Not graded
    quality
    C
    maintenance
    Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.
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