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"Search for 'Dify' - A term or name of interest" matching MCP servers:

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    A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.
    MIT
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    A comprehensive MCP server and CLI that exposes the entire Dify console API as 138 tools, enabling AI agents to programmatically build, test, and publish Dify workflows and manage all aspects of the Dify platform.
    18
    3
    Apache 2.0
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    A server implementation that enables integration of Dify workflows with Model Context Protocol (MCP), allowing users to access Dify's capabilities through MCP-compatible clients.
    3
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    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
    4
    MIT
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    Enables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.
    5
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    Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.
    1
    15
    MIT
  • A
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    MCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.
    MIT
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    Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.
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    The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.
    1
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    MIT
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    Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.
    6
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    Apache 2.0
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    Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
    9
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    MIT
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    MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.
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    MIT