MCP Servers
64,768 MCP servers for AI apps. Filter by category, badge and popularity.
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Enables AI tools to interact with ConfigCat, a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags.
A powerful Model Context Protocol (MCP) server that enhances large language models with advanced sequential thinking capabilities. Built on the Model Context Protocol standard, this MCP server enables AI agents to perform structured reasoning and execute complex cognitive tasks
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated capabilities.
The most comprehensive ServiceNow MCP server — 400+ tools across 35+ modules including ITSM, ITOM, CMDB, HRSD, CSM, SecOps, GRC, Flow Designer, Service Catalog, UI Builder, and Performance Analytics. Features 26 AI capabilities (scan, review, build, ops, docs), SDK mode, Direct.
Connect AI agents to Oracle EPM Cloud (Planning, PBCS, EPBCS) via REST APIs. Automate month-end close, run business rules, manage substitution variables, refresh databases, export data slices, and monitor job status through natural language. Supports mock mode for testing
AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq.
The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and m
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
