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

A Python-based MCP server that analyzes PostgreSQL query plans, suggests indexes, and checks pagination safety to help optimize database performance.

Exposes internal databases, HTTP APIs, and files to LLM agents over MCP, with auto-generated schemas, access controls, rate limiting, redaction, and audit logging.

Enables any Model Context Protocol-compatible host (Claude Desktop, Cherry Studio, Cline, MCP Inspector) to call 8 plug-and-play tools over stdio: hotspot ranking, TC3 signing, text chunking, date calculation, read-only SQLite queries, webpage text extraction, JWT decode/verify, and health checks.

Enables AI agents to consult and update CRM contacts, look up customers by phone, CPF, or installation code in an analytical base, and publish HTML reports and presentations to stable public links. It provides typed contracts, Bearer auth, rate limiting, and an offline demo mode behind a single MCP endpoint.

A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.

A collection of production-ready MCP servers for PostgreSQL, SQLite, Redis, File System, and GitHub API, enabling database operations, file management, and GitHub interactions through natural language.

A Model Context Protocol server providing tools for DB queries, API calls, file I/O, and text transformations, enabling AI agents like Claude to perform real-world actions.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

Enables users to query and manage warehouse inventory through MCP by searching SKUs, viewing item and stock details, identifying low-stock items, summarizing warehouses, and creating reorder requests.

Enables AI assistants to discover and invoke filesystem, notes, SQLite, and utility operations over MCP, with a local-first sandbox and dashboard for testing and management.

Enables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

An MCP server providing tools for read-only SQL queries, REST API calls, sandboxed Python execution, and resource lifecycle management, enabling multi-step research and data tasks.

An MCP server exposing three tools — a read-only PostgreSQL commerce database, a live weather API, and a calculator — behind a real MCP protocol client/server boundary. It enables natural-language questions that combine database and weather data, with real-time streaming of tool calls and model error recovery.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

Integrates AI agents with 1C:Enterprise databases via MCP and REST API, supporting a built-in HTTP server (no Python required) or a Python proxy mode.

Provides tools for summarizing GitHub repositories and issues, running read-only SQL against configured SQLite or Postgres databases, and invoking OpenAPI operations over allowlisted HTTP hosts.

Enables safe read-only SQL querying and natural-language-to-SQL conversion on a bundled sample database, guarded by three-layer protection. Also provides search and retrieval from a public-domain Chinese text library.

A Model Context Protocol server integrating developer tools including Git control, document conversion, remote SSH execution, database operations, and utilities for automation and development productivity.

A secure, AI-ready local server that provides digital forensics tools for analyzing logs, verifying file integrity, and generating audit-grade reports.

Equips AI coding agents with filesystem, Git, database, and computation tools via the Model Context Protocol.

Enables forensic analysis of Windows notification databases (wpndatabase.db) from E01 forensic images, automatically extracting and parsing notification data with search, filtering, timeline analysis, and sensitive information detection capabilities.

A general-purpose MySQL MCP server that enables safe SQL operations through schema validation, CRUD tools, and soft deletes.

MySQL MCP Performance Tuning Server - AI-powered MySQL performance tuning capabilities

The Finance Toolkit gives AI assistants access to 500+ financial metrics, all calculated transparently from raw financial statements, not pulled from third-party endpoints.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

An MCP server that analyzes SQL schemas, generates realistic test data, benchmarks queries, and provides optimization recommendations to improve database performance.

Provides read-only visibility into Snowflake warehouse cost and query performance, including credit usage by warehouse, expensive queries, and heuristic right-sizing recommendations.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

A local MCP server that exposes six tools for querying a sample database and searching a public-domain Chinese text corpus, with SQL guardrails, scope-based JWT authentication, and a bounded natural-language-to-SQL state machine.