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"A server to improve math capability of AI" matching MCP servers:

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    Open-source MCP server for Google Ads (Meta Ads coming soon) that lets AI assistants manage ad campaigns, reporting, keywords, and targeting in plain English from any MCP client, with safety-first creation of paused campaigns.
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    MIT
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    Enables agents to prove and verify that a real, unique human performed an action, issuing machine-readable signed credentials with public verification.
    Apache 2.0
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    An MCP server that integrates with Recraft AI to enable generation and manipulation of high-quality raster and vector images through tools like image generation, editing, vectorization, background removal, and upscaling.
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    MIT
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    MCP server for Picsha AI platform enabling LLMs to search, upload, and manage digital assets through natural language, with secure local proxy and multi-tenant sandbox support.
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    ISC
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    MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.
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    MIT
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    MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.
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    Apache 2.0
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    Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
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    MIT
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    Enables LLM agents to interact with the MOSTLY AI Platform for generating synthetic data, including training generators, managing data connectors, executing queries, and generating synthetic datasets with OAuth 2.1 authentication.
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    Apache 2.0
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    Provides access to thousands of interactive self-awareness scenarios, behavioral archetypes, and breakthrough exercises from the Levels of Self development game. It enables AI assistants to guide users through pattern recognition and developmental coaching across seven levels of self-awareness.
    35
    MIT
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    Enables AI assistants to search, create, and manage knowledge graphs in Aiqbee brains for architecture, portfolio, and digital strategy.
    7
    MIT
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    Connects AI-powered tools to the Confident AI platform for evaluating, observing, and iterating on AI quality, enabling cloud evaluations, dataset management, prompt versioning, production tracing, and human annotations directly from editors like Cursor and Claude Code.
    2
    MIT