Best Integrations Tools

AgentRPC: Open-source RPC framework (Apache 2.0) that lets AI agents call functions across network boundaries without opening ports. Supports TypeScript, Go, and Python SDKs with built-in MCP server compatibility.

Key Features:

• •Universal RPC layer for cross-network function calling
• •No open ports required for function registration
• •Long-running function support via long polling

Databricks central AI governance layer for LLM endpoints, MCP servers, and coding agents. Provides enterprise governance with unified UI, observability, permissions, guardrails, and capacity management across providers.

Key Features:

• •Unified UI for LLM, MCP, and coding agent governance
• •OpenAI-compatible query API
• •Unity Catalog inference tables for payload logging

Open protocol that automates AI model connections to external data sources, tools, and services through a standardized interface.

Key Features:

• •Universal AI integration protocol
• •JSON-RPC 2.0 based messaging
• •STDIO and HTTP transport layers

Open-source Model Context Protocol server that enables AI assistants to query and analyze Amazon Bedrock Knowledge Bases using natural language. Optimize enterprise knowledge retrieval with citation support, data source filtering, reranking, and IAM-secured access for RAG applications.

Key Features:

• •Natural language querying of Amazon Bedrock Knowledge Bases
• •Citation support for all retrieved results with source attribution
• •Data source filtering and prioritization capabilities

Brave Search API gives agents and chatbots access to an independent web index — not Bing or Google reseller results — at $5 per 1,000 search requests with $5 in free monthly credits.

Key Features:

• •Independent 30B+ page web index
• •LLM Context endpoint for AI agents
• •AI Answers with citations and streaming

MCP server that enables AI agents to control web browsers using the browser-use library for autonomous web browsing and automation.

Key Features:

• •Browser Automation via MCP
• •Multi-LLM Support
• •Direct and Autonomous Modes

Official reference implementation for secure filesystem operations via Model Context Protocol. Gives AI agents controlled read/write access to local files with configurable directory restrictions.

Key Features:

Low-code Microsoft platform for building, deploying, and governing AI agents across Microsoft 365, Teams, websites, and enterprise workflows.

Key Features:

• •Preview Computer Use Automation
• •Multi-Agent Orchestration
• •Model Context Protocol Integration

Comprehensive independent guide to the Model Context Protocol (MCP) featuring downloadable decision frameworks, scored architecture comparison matrices, and step-by-step migration checklists that go beyond Anthropic's official specification—helping developers and technical leaders evaluate, plan, and implement MCP for connecting AI agents to external tools and data sources.

Key Features:

• •Comprehensive explanation of the Model Context Protocol standard
• •Breakdown of MCP client-server architecture
• •Guides on how AI models connect to external tools and data sources via MCP

Developer platform for building integrations with Notion workspaces. Access databases, pages, and content programmatically for AI agent workflows.

Key Features:

• •Database Operations
• •Page Management
• •Block-Level Content

Secure AI agents with drop-in Model Context Protocol gateway that automates OAuth authentication, fine-grained authorization policies, and audit logging without code changes to existing MCP servers.

Key Features:

• •MCP security proxy
• •OAuth 2.1 authentication
• •Authorization policies

AI-first code editor built on VS Code with autonomous agent mode, multi-file editing, MCP client support, and access to frontier models like Claude, GPT-4, and Gemini.

Key Features:

• •Autonomous Agent Mode
• •MCP Client Integration
• •Multi-Model AI Support

Enterprise AI agent framework built into the Databricks Lakehouse, with MLOps, evaluation tooling, governance, and MCP support for building production agents on proprietary data.

Key Features:

Open-source LLMOps platform for building AI agents, RAG pipelines, and chatbots through a visual workflow builder. Supports all major LLM providers, MCP protocol, and self-hosting under Apache 2.0.

Key Features:

Tray.ai is an enterprise AI orchestration platform for building agents, deploying governed MCP servers, and automating business processes. It combines integration, automation, governance, observability, and access control across AI and data workflows.

Key Features:

• •Visual drag-and-drop workflow builder with low-code and full-code modes
• •AI agent building and orchestration
• •MCP server deployment with built-in governance

Workato ONE is an enterprise automation and orchestration platform for agentic AI, integrations, APIs, data workflows, and business process automation. It includes capabilities such as MCP Gateway, AI workflows, Agent Studio, enterprise search, and embedded iPaaS.

Key Features:

• •Enterprise MCP and MCP Gateway for governed agent access
• •Modern iPaaS for app and workflow integrations
• •Agent Studio and Agent Orchestration for building enterprise AI agents