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20 Best Web Search MCP Servers: compared and ranked, November 2026Ranked from 2,138 matching servers on stars, growth, downloads and maintenance. Updated .

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    Official MCP server for Perplexity API Platform, enabling AI assistants with real-time web search, reasoning, and research capabilities through Sonar models and the Search API.
    4
    47,808 npm
    MIT
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    Enables MCP clients to query a document knowledge base with permission-aware hybrid retrieval, listing sources, searching snippets, and fetching document context while reporting confidence for each result.
    3
    Apache 2.0
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    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
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    6 npm
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    MIT
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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
    47,808 npm
    MIT
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    Enables AI assistants to perform web searches and retrieve real-time information using Perplexity AI's Sonar models, with support for multiple search modes and easy integration with MCP clients.
    5
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    MIT
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    Enables AI assistants to perform web searches and deep research via Perplexity, without API costs, using session-based authentication and multi-account pooling.
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    MIT
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    Enables AI-powered web research using your existing Perplexity Pro subscription, providing tools for search, follow-up conversations, and thread management through the Model Context Protocol.
    4
    2,512 PyPI
    23
    MIT
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    A Model Context Protocol server that analyzes webpage design structures, providing detailed layout, navigation, content, form, image, and link information from a given URL.
    1
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    Apache 2.0
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    Enables web search using Perplexity AI's API, allowing users to search the web with optional recency filters and integration with Claude, Cursor, and other MCP clients.
    1
    MIT
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    Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.
    1
    Apache 2.0
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    An open-source MCP server providing AI agents with neural web search via Exa and tiered web fetch (Exa, local browser, Firecrawl) as a drop-in replacement for built-in web tools, preserving provenance and guarding against SSRF.
    6
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    MIT
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    An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.
    1
    24 PyPI
    49
    MIT
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    Enables MCP-capable agents to perform reliable web search and content fetching through a single server that automatically fails over across multiple providers. It handles keyed or keyless authentication automatically and returns clean Markdown or text results.
    3
    1
    MIT
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    Advanced MCP server that uses OpenRouter and Perplexity APIs for enhanced query processing with multi-vendor support, query type optimization, file attachments, and robust retry logic.
    1
    MIT
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    An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.
    3
    47 PyPI
    BSD 3-Clause
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    Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.
    8
    MIT
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    A comprehensive MCP server that provides intelligent access to Perplexity AI's search and reasoning models with automatic model selection, conversation management, and project-aware storage. Supports real-time search, deep research, chat sessions, and async operations for complex queries.
    11
    32 npm
    36 PyPI
    3
    MIT
  • F
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    MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.
    8
    -
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    Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.
    5
    37
    Apache 2.0
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    Bridges Claude with Perplexity's Comet browser for autonomous web browsing, research, and multi-tab workflow management. Supports dynamic content interaction, login wall handling, file uploads, and intelligent completion detection across Windows, macOS, and WSL platforms.
    8
    205 npm
    53
    MIT
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    A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.
    16
    22 PyPI
    2
    MIT
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    Connects AI assistants to Perplexity AI's search API, enabling natural language web search with fine-grained control over recency, citations, images, and model parameters directly from MCP clients like Claude.
    1
    172 npm
    6
    MIT
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    MCP server for Perplexity AI Pro that enables deep web search, thread management, and export of answers using an existing Perplexity Pro subscription and browser session cookie.
    5
    143 npm
    1
    MIT
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    Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.
    8
    1
    MIT
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    Comprehensive MCP server providing full programmatic control over the Perplexity API, including agent, sonar, search, embeddings, key management, and cost estimation tools.
    14
    MIT
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    MCP server for web search via Perplexity Sonar Pro through OpenRouter API, enabling customizable search queries with different models.
    1
    MIT
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    Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.
    8
    MIT