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"Resources for Analyzing Stock Market Trends" matching MCP servers:

  • stock-rag-mcp

    hemanthkumarkp
    F
    license
    -
    quality
    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.
    Last updated

  • MCP Server for Milvus

    zilliztech
    A
    license
    -
    quality
    D
    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.
    Last updated
    237
    Apache 2.0

  • EyeLevel RAG MCP Server

    wannabidr
    F
    license
    -
    quality
    -
    maintenance
    A local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.
    Last updated

  • privateGPT MCP Server

    Fujitsu-AI
    A
    license
    -
    quality
    D
    maintenance
    A server implementation that allows secure communication between MCP clients and privateGPT, enabling users to chat with privateGPT using knowledge bases and manage sources, groups, and users through a standardized Model Context Protocol.
    Last updated
    6
    MIT

  • Munin AI Memory

    3d-era
    F
    license
    -
    quality
    A
    maintenance
    Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic
    Last updated
    3

  • semantic-code-mcp

    vrppaul
    F
    license
    A
    quality
    D
    maintenance
    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    Last updated
    3
    2

  • Neo4j GraphRAG MCP Server

    neo4j-field
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.
    Last updated
    5
    2
    MIT

  • Connapse

    Destrayon
    A
    license
    A
    quality
    C
    maintenance
    Self-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.
    Last updated
    11
    15
    MIT

  • mcp-ragchat

    gogabrielordonez
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables RAG-powered AI chat integration for websites by crawling content, building local vector stores, and generating embeddable chat widgets. It simplifies the setup of local chat servers with support for various LLM and embedding providers.
    Last updated
    5
    3
    2
    MIT

  • food-recipe-mcp

    AIDataNordic
    A
    license
    A
    quality
    A
    maintenance
    A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.
    Last updated
    2
    1
    MIT

  • MCP RAG Server

    LuizDoPc
    A
    license
    A
    quality
    D
    maintenance
    Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
    Last updated
    4
    37
    1
    MIT

  • KB-MCP Server

    isshiki-dev
    F
    license
    A
    quality
    -
    maintenance
    A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.
    Last updated
    7
    3