Anthropic MCP — MCP Tooling Platform

MCP ToolingLayer 3Free

Founded 2024|San Francisco, California|1001-5000

What is Anthropic MCP?

The Model Context Protocol (MCP) is an open standard created by Anthropic for connecting AI models to external tools, data sources, and services. Announced in November 2024, MCP provides a universal interface that enables any AI agent to discover, connect to, and interact with any MCP-compatible server, creating an interoperable ecosystem for agentic AI applications.

MCP defines a client-server architecture where AI applications (clients) can dynamically discover available tools, execute them, and share context through a standardized protocol. The specification includes tool discovery, execution, resource access, and prompt templates. The November 2025 spec release introduced asynchronous operations, statelessness, server identity, and official extensions, bringing the protocol closer to production readiness.

In 2025, Anthropic donated MCP to the Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation co-founded by Anthropic, Block, and OpenAI with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. The protocol now has an official community-driven Registry for discovering MCP servers, and major AI providers including OpenAI and Google DeepMind have adopted it. Claude's directory includes over 75 MCP connectors, and the ecosystem continues to grow rapidly.

Key Features

✓Model Context Protocol specification
✓Official MCP SDKs (TypeScript, Python)
✓Server reference implementations
✓Standard tool interface
✓Open protocol

Pros & Cons

Pros

+Open standard with broad industry adoption (OpenAI, Google, Microsoft)
+Universal interface for connecting any AI model to any tool
+Active community with official registry and 75+ connectors
+Backed by Linux Foundation with major tech company support
+Free and open-source with permissive Apache 2.0 license

Cons

-Still evolving specification with breaking changes possible
-Server implementation quality varies across community contributions
-Requires development effort to build custom MCP servers
-Security model for tool execution still maturing

Anthropic MCP Pricing

MCP ProtocolFree

✓Open-source specification
✓Apache 2.0 license
✓TypeScript and Python SDKs
✓Community support

MCP ServersFree

✓Open-source server implementations
✓Community-built connectors
✓Official registry

View official pricing page

Common Use Cases

Developers building AI tools and agents who want to follow the standardized MCP protocol

•Standardized tool use for AI agents
•Building interoperable MCP servers
•Sharing context between AI applications
•IDE and editor AI integrations
•Agent-to-tool communication

Using Anthropic MCP with Respan

Respan supports MCP for extending AI agent capabilities with external tools and data sources. Teams can use MCP servers through Respan's gateway to add tool use capabilities to their LLM applications while maintaining full observability over tool calls, costs, and performance.