Skip to main content
Glama
95,541 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,477 matching servers on stars, growth, downloads and maintenance. Updated .

Matching MCP tools:

Matching MCP Connectors:

"How to access developer tools in web browsers" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • A
    license
    A
    quality
    A
    maintenance
    An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.
    1
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    29
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Enables MCP clients like Codex to delegate coding tasks to DeepSeek Harness, reusing the same Web-visible session for feedback and keeping the conversation in the Harness Web UI.
    10
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
    1
    777 npm
    589
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    2
    MIT
  • F
    license
    B
    quality
    C
    maintenance
    Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.
    7
    4
    -
  • A
    license
    B
    quality
    A
    maintenance
    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
    66
    94 PyPI
    370
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    An MCP server that lets Claude control a Minecraft bot with 40+ actions including movement, combat, crafting, and inventory management. Built on Mineflayer, it supports Microsoft authentication, pathfinding, and auto-reconnect.
    3
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables Claude Agent SDK agents to safely operate a remote user machine via a WebSocket tunnel, providing six client__* MCP tools with path fencing and phase-switch adjudication.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.
    31 npm
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides five rigorous reasoning protocols (debate, red team, audit_argument, threat_model, check_study) that run on the AI you're already using, requiring no extra API keys or costs.
    MIT