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  • Upstash MCP Server by upstash

    Upstash MCP Serverofficial

    upstash
    A
    license
    -
    quality
    C
    maintenance
    Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.
    Last updated
    511
    55
    MIT

  • Context7 MCP

    upstash
    A
    license
    A
    quality
    B
    maintenance
    A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.
    Last updated
    34
    2
    1,136,447
    57,354
    MIT

  • Context MCP

    Raunak-dev-18
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.
    Last updated
    6
    3
    MIT

  • mintlify-mcp

    Vigtu
    A
    license
    -
    quality
    C
    maintenance
    An MCP server that enables users to query any Mintlify-powered documentation site directly from Claude. It leverages Mintlify's AI Assistant API to provide RAG-based answers and code examples for various platforms like Agno, Resend, and Upstash.
    Last updated
    15
    18
    MIT

  • NORA Data MCP Server

    allanhale
    F
    license
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    quality
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    maintenance
    Enables read-only access to NORA dashboard data from Upstash Redis, covering OKRs, initiatives, KPIs, and financial summaries. It allows users to query and analyze business performance metrics and organizational alignment through standardized MCP tools.
    Last updated

  • Docs Vector MCP

    MeteorGeminy
    F
    license
    -
    quality
    C
    maintenance
    Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.
    Last updated