Keywords AI
Best MCP Tooling Tools
Tools and servers built around Anthropic's Model Context Protocol (MCP), enabling standardized tool use, context sharing, and agent interoperability.
11 tools in this category · Layer 3
All MCP Tooling Tools
The Model Context Protocol (MCP) is an open standard created by Anthropic for connecting AI models to external tools, data sources, and services. MCP provides a universal interface for tool use, enabling any AI agent to interact with any MCP-compatible server. The protocol specification includes tool discovery, execution, and context sharing, creating an interoperable ecosystem for AI agents.
Composio provides 250+ pre-built tool integrations for AI agents, supporting MCP, LangChain, CrewAI, and other frameworks. It handles authentication (OAuth, API keys), manages tool execution, and provides a unified interface for agents to interact with services like GitHub, Slack, Google Workspace, Salesforce, and more. Composio eliminates the complexity of building and maintaining tool integrations for AI agents.
The App Store for MCP. Discover, test, and deploy MCP servers via a unified gateway.
Enterprise MCP platform with SOC 2 compliance, role-based access, and governance controls.
Zapier's MCP server integration lets AI agents connect to Zapier's ecosystem of 6,000+ app integrations through the Model Context Protocol. This enables AI agents to trigger automations, read data from business tools, and take actions across the entire SaaS stack.
Top-rated MCP tool for web automation. Lets agents control browsers for scraping and actions.
Toolhouse is a cloud platform for building AI agents with MCP-compatible tool integrations, built-in memory, and knowledge management. It provides a visual builder for creating agents that connect to data sources and APIs without managing infrastructure.
Smithery is a registry and marketplace for Model Context Protocol (MCP) servers. Developers can discover, share, and deploy MCP tools for connecting AI agents to databases, APIs, file systems, and other services. Smithery provides hosted MCP servers, reducing the setup complexity for teams adopting the MCP standard.
Nango provides pre-built API integrations for AI agents, handling OAuth and data syncing for 250+ services.
Arcade AI provides a tool-calling platform for AI agents with pre-built integrations.
How to Choose a MCP Tooling Tool
Common MCP Tooling Workflows
Frequently Asked Questions
What is MCP (Model Context Protocol)?▾
MCP is an open protocol created by Anthropic that standardizes how AI agents discover and use tools. It defines a common interface so any MCP-compatible agent can use any MCP-compatible tool, similar to how USB standardized hardware connections.
Do I need MCP tooling if I already have function calling?▾
Function calling is model-specific and requires you to define tools per integration. MCP provides a universal standard so tools built once work with any MCP-compatible agent. It is especially valuable when you need agents to discover and use tools dynamically.