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"A server for retrieving stock market data" matching MCP servers:

  • A
    license
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    A Model Context Protocol server that exposes over 200+ APIs from API.market as MCP resources, allowing large language models to discover and interact with various APIs through natural language commands.
    34
    25
    4
    MIT
  • F
    license
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    B
    maintenance
    Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.
  • F
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    maintenance
    MCP server that provides stock market research tools including real-time quotes, news search, semantic context retrieval, watchlist management, and saving research notes/reports.
  • F
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    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4
  • A
    license
    A
    quality
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    maintenance
    An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.
    2
    31,113
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.
    7
    39
    47
    MIT
  • A
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    quality
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    maintenance
    MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.
    24
    6
    MIT
  • A
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    maintenance
    A semantic layer query engine with MCP support, enabling AI assistants to query structured data through natural language and declarative interfaces.
    2
    Apache 2.0
  • A
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    quality
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    maintenance
    Enables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.
    1
    MIT
  • A
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    quality
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    maintenance
    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Salesforce Data Cloud (beta): https://www.cdata.com/download/download.aspx?sku=LRZK-V&type=beta
    1
    MIT
  • A
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    quality
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    maintenance
    Enables natural language querying of PostgreSQL via MCP, combining SQL, vector search, and knowledge graph with automatic routing and token-aware curation.
    Apache 2.0
  • A
    license
    Not graded
    quality
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    maintenance
    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
    240
    Apache 2.0
  • F
    license
    Not graded
    quality
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    maintenance
    Enables AI-powered natural language stock market queries with real-time data from Yahoo Finance and CSV fallback. Uses Google Gemini to interpret queries and automatically fetch stock prices, comparisons, and market summaries.