"Windows Performance Toolkit and xperf.exe" matching MCP servers:

Performance AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Open-source AI governance toolkit — MCP servers & CLIs for scanning, auditing, and managing your AI environment

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

Enables MCP-capable clients to query the tool registry, check install status, get tool recommendations for CTF or bug-bounty work, and run installed security tools through a governed execution path.

Enables AI agents to set up, launch, monitor, and manage LoRA training runs through the ai-toolkit web UI API, including datasets, captions, job configuration, checkpoints, logs, loss curves, and sample images.

Provides multimodal vision MCP tools for image analysis, OCR, object detection, text-to-image generation, and image similarity, integrating OpenAI, Qwen, and Gemini.

An MCP toolkit exposing six AI-powered educator-craft tools for reviewing, critiquing, and improving learning artifacts like lessons, curricula, AI tools, learner experiences, assessments, and content accuracy. Deployable via hosted HTTPS, local stdio MCP, or an importable Python kernel.

MCP server for structured GB Studio 4.x project editing, enabling read/patch scripts, scenes, actors, triggers, variables; build ROMs; and sprite generation.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Enables local, CPU-only image and video manipulation—such as background removal, resizing, format conversion, thumbnails, GIF creation, and trimming—through an MCP server without API keys, GPU, or paid dependencies.

Enables AI agents to normalize Arabic text, strip diacritics, classify regional dialects, and analyze prompt token efficiency. Exposes these capabilities as MCP tools that plug into Claude Desktop, Cursor, and other MCP clients.

A standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Generates AI images using Google Gemini and uploads them to S3-compatible storage via a single MCP tool call.

基于FastMCP和scikit-learn构建的机器学习MCP服务器，提供30个工具覆盖分类、回归、聚类、降维、模型评估和数据预处理。

Enables AI agents to interact with any GraphQL API by introspecting the schema and exposing queries and mutations as MCP tools, with built-in pagination, semantic search, and framework adapters.

A local MCP SSE server that proxies Cloudflare Workers AI and provides multi-step task orchestration, integrating with LiteLLM to enable AI-assisted development workflows.

An enterprise MCP server that exposes 16 standardized tools for document intelligence, RAG, knowledge graph, SQL analysis, LLM evaluation, cost estimation, and AI architecture design, enabling AI agents to securely access and compose enterprise AI capabilities.

Tweet scoring using X's actual algorithm weights - 22 signals, 18 filters, 11 tools

Exposes four OpenAI-powered streaming tutoring tools—concept explanations, text summarization, flashcard generation, and quizzes—over MCP, allowing clients and agents to discover and call them dynamically.

Open-source AI governance toolkit. MCP servers & CLIs for scanning, auditing, and managing your AI environment

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Enables AI assistants to discover and invoke generated CRUD tools and read-only resources, letting them interact directly with REST-backed services built on Express, Mongoose, or Sequelize.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

Enables LLMs to interact with generated CRUD services through MCP tools and resources, so they can create, update, list, and fetch records via a standard protocol. It also provides REST API access from the same codebase for traditional clients.

An MCP server that turns an LLM API into MCP tools, providing four LLM-powered tools (ask_llm, summarize, translate, extract_json) and running locally over stdio or remotely over HTTP.

Enables interaction with Magnet (magnet.run) via MCP, requiring an API key. Supports Cursor, Claude Desktop, and Claude Code.

Discover audio and LLM services, compare seven voices, and check prices for free. Generate speech, transcribe audio and request LLM text with optional capped USDC payments on Base; voice-cloning requirements are also available.

AI-powered data visualization MCP server that generates publication-ready charts from natural language descriptions while keeping data local.

A Python framework for building MCP servers, clients, and apps to connect LLMs to tools and data.