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20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,477 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.
    MIT
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    ollect comprehensive environmental data from 80+ US federal sources (FEMA, EPA, USGS, NOAA, NRCS, USFWS, DOE, DOT, CDC, Census) for any US location. One tool returns flood zones, soils, wetlands, rainfall, water quality, contamination, seismic risk, infrastructure, ecology, energy, and demographics.
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    15 npm
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    MIT
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    Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.
    4
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    Read-only access to the AI Visibility Index: the measured share of answer that 20 SaaS and 24 crypto brands hold across ChatGPT, Perplexity and Gemini, re-measured weekly on a frozen prompt panel with every past release kept at a permanent URL. Five tools — full index, one brand, brand list, complete history, methodology — served from dabyte.ai and dablock.ai with no API key and no auth; the data
    MIT
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    MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.
    MIT
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    MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.
    MIT
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    Enables AI assistants to look up, filter, and shortlist 221 curated AI tools by industry, department, pricing tier, or free-tier availability over remote Streamable HTTP without authentication.
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    Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.
    4
    MIT
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    8
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    MIT
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    al-time AI ecosystem intelligence for agents: 1,250+ classified AI security incidents, API pricing for 26 models across 7 providers, GPU cloud pricing, live provider status and cross-signal company analysis. No API key required.
    11
    MIT
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    Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.
    MIT
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    Enables querying Gyeongbuk-province and municipal population, local tax, policy, and council data through MCP tools, returning conclusions with sources and limitations.
    MIT