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20 Best Browser Automation MCP Servers: compared and ranked, September 2026Ranked from 2,971 matching servers on stars, growth, downloads and maintenance. Updated .

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    A Model Context Protocol server that provides tools to find regex pattern positions in files and list allowed directories, enabling text analysis with LSP-like functionality.
    2
    5 npm
    1
    MIT
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    Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.
    3
    15 npm
    3
    MIT
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    A code review tool server based on Model Context Protocol (MCP), providing multi-dimensional code review and scoring functions.
    4
    2
    Apache 2.0
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    Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.
    3
    7 npm
    MIT
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    Exposes Language Server Protocol (LSP) tools such as diagnostics, goto definition, find references, symbols, and rename as a stdio MCP server.
    7
    MIT
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    Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.
    24 npm
    MIT
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    Enables analyzing and optimizing context window token usage by measuring, compressing, and eliminating waste from MCP tool definitions.
    30 npm
    MIT
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    Architecture-index MCP tools for kernelee apps that combine static analysis and runtime wiring into a JSON index, enabling coding agents to query control flow and dependencies via the Model Context Protocol.
    14 npm
    MIT
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    A FastMCP-based tool for analyzing logback log files to detect code defects and generate automated fix suggestions. It features intelligent stack trace filtering and token optimization to efficiently identify and resolve application errors.
    MIT
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    Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.
    12 npm
    MIT
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    Enables querying a TypeScript codebase's graph for call flows, type relationships, and symbol locations without reading file bodies.
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    CodeGuard MCP is a real-time AI code security scanning tool used to detect vulnerabilities, keys, and compliance issues in AI-generated code, and is suitable for code security reviews in development environments
    2
    Apache 2.0