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    Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.
    4
    23,796 npm
    MIT
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    An MCP server that enables searching Merill's Weekly Microsoft AI Roundup archive with natural language queries, returning sourced excerpts, issue details, and tool mentions. It supports hybrid semantic and keyword search, issue retrieval, and archive browsing with no API keys required.
    4
    48 npm
    MIT
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    Provides a local-first, provenance-aware memory layer that enables MCP-capable AIs to store, recall, validate, and reason over facts with contradiction detection, trust weighting, deduplication, and encryption, supporting offline private operation without GPUs or API keys.
    9
    Apache 2.0
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    A focused MCP server that provides a single web_search tool for web searches, integrating Tavily and Brave with automatic fallback and key rotation.
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    HAL (HTTP API Layer) is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models.
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    60 npm
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    MIT
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    A local web search MCP server supporting parallel, API, and model-based search modes, integrating Zhipu Web Search API and online models for real-time information retrieval.
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    Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.
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    9 npm
    2
    MIT
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    Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Sonar models and Search API. Supports quick searches, deep research, advanced reasoning, and direct web search with ranked results.
    4
    23,796 npm
    2,543
    MIT
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    Enables semantic search and discovery of free public APIs from an extensive catalog. Provides embedding-based search over API names and descriptions, plus detailed API information retrieval.
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    9
    MIT
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    Enhances developer tasks by retrieving relevant context from project documentation via a backend API. It enables users to generate enriched task descriptions and prompts by automatically integrating specific technical details from their project documents.
    1
    MIT
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    Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.
    7
    70 npm
    6
    MIT
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    Provides programmatic access to Marqeta's DiVA API for retrieving aggregated financial data including transactions, settlements, chargebacks, card/user details, and balances. Supports advanced querying, filtering, rate limiting, and optional RAG features for semantic search on transaction data.
    20
    MIT
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    MCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.
    10
    Apache 2.0
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    A Python package that implements a Model Context Protocol server for integrating with Flowise API, allowing users to list chatflows, create predictions, and dynamically register tools for Flowise chatflows or assistants.
    2
    MIT
  • F
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    An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.
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    An MCP server integrating Perplexity AI's API to offer advanced search capabilities with support for multiple models and result configuration.
    1
    605 npm
    1
    MIT
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    Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2
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    53
    MIT