MCP360 is a unified MCP platform that connects AI agents to more than 100 external tools and custom MCP servers through a single integration. Instead of building and maintaining separate integrations for every service, developers can use MCP360 as a centralized gateway for accessing third-party tools and internal APIs.
The platform enables AI agents to perform tasks such as web scraping, SEO and keyword research, email verification, lead enrichment, price tracking, domain and DNS lookups, and access to maps, news, travel, and other external services. New tools added to the marketplace become available to existing integrations without requiring additional development or configuration.
MCP360 includes a Custom MCP Builder that allows teams to convert internal APIs or third-party services into reusable MCP servers without managing separate infrastructure. The platform supports the Model Context Protocol (MCP), direct API access, and ready-to-use skill files for environments that do not yet support MCP. It works with Claude Desktop, Cursor, VS Code, Windsurf, Cline, n8n, Flowise, and other MCP-compatible clients.
Built for production use, MCP360 is SOC 2 Type II compliant and provides a consistent way for AI agents to discover and execute external tools while reducing integration complexity. It is designed for developers building AI assistants, autonomous agents, workflow automation, customer support, research, and other AI applications that rely on external services.
A startup from Chandigarh, India that is founded by Rohit Joshi, Sahil Kumar.
100+ Tool Integrations
Access more than 100 production-ready tools through a single MCP integration.
Custom MCP Builder
Convert internal APIs or third-party services into reusable MCP servers.
Unified MCP Gateway
Connect AI agents to external services through one standardized interface.
Enterprise Security
SOC 2 Type II and GDPR compliant with enterprise-ready security practices.
Intelligent Tool Discovery
Agents discover and execute only the tools required for a task.
MCP360 has not publicly disclosed its customer list.
MCP360 combines three capabilities in a single platform:
Instead of maintaining separate integrations for multiple providers, developers integrate with MCP360 once and gain access to a growing ecosystem of tools. The platform also supports intelligent tool discovery, allowing AI agents to load only the tools needed for a task rather than exposing an entire tool catalog.
MCP360 is designed to simplify how AI agents interact with external services.
It is well suited for teams building AI applications that need reliable access to external tools while keeping their integration architecture simple.
AI developers, engineering teams, AI startups, enterprise software teams, and organizations building AI assistants, autonomous agents, workflow automation, and applications that require access to external tools and APIs.
MCP360 was created to simplify how AI agents connect to external tools. As AI applications increasingly depend on APIs for tasks such as web scraping, SEO research, email verification, and data retrieval, managing separate integrations for every service becomes difficult to maintain. MCP360 brings these capabilities together through a unified gateway and marketplace, allowing developers to integrate once while expanding their AI agents with both prebuilt tools and custom MCP servers as their needs grow.
Model Context Protocol (MCP) Typescript Streamable HTTP stdio transport REST API OAuth 2.0 API Key authentication JavaScript Python (supported for Custom MCP Builder code) JSON-RPC (through MCP)
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I connected Hermes to an MCP gateway sitting between the agent and all external tools. Hermes sends every tool request in one standardized format. The gateway I have used is MCP360. It handles routing, authentication, rate limit backoff, and response normalization. Every tool response Hermes receives comes back in the same structure regardless of what produced it. - Source: dev.to / about 1 month ago
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