Wayfound Introduces Model Context Protocol (MCP) Server to Accelerate Enterprise AI Agent Efficiency
Wayfound.ai, the leading AI agent management platform, is proud to announce the launch of our new Model Context Protocol (MCP) server, designed to simplify integration and enhance the management, monitoring, and optimization of enterprise AI agents.
MCP, or Model Context Protocol, has quickly emerged as the go-to integration framework for agentic systems. By offering a robust and secure MCP server, Wayfound enables seamless integration with modern agentic architectures, reducing friction and streamlining workflows as businesses increasingly adopt MCP standards.
Addressing Enterprise Challenges with MCP
Wayfound’s MCP server addresses critical challenges enterprises face when integrating agentic systems. Our MCP implementation features several powerful tools designed for business-critical use cases:
- “evaluate_session”: Allows agentic systems to evaluate session data for compliance and errors directly within workflows. For instance, before an AI agent sends customer-facing communications such as invoice-related emails, this Wayfound MCP tool can validate the response against defined business guidelines for tone, bias, formatting, and sensitive data (PII).
- “get_manager_analysis_for_agent”: Enables business users to query Wayfound’s analytics, such as agent performance and adherence to guidelines, directly through MCP-compatible clients like Claude Desktop, Slack, or Cursor. Users can effortlessly gain insights into agent performance, such as identifying critical guideline violations or pinpointing prevalent knowledge gaps.
- “get_improvement_suggestions_for_agent”: Provides agent owners and developers with suggestions on how to improve their AI agents directly within MCP-compatible development environments such as Cursor, Windsurf, or Slack. This helps development teams quickly identify performance enhancements based on real-world session data, including guideline adherence, knowledge gaps, and user feedback.
- “list_agents”: Retrieve a complete list of all Agents being managed by Wayfound for your organization.
- “get_agent_details”: Retrieve the details of a specific Agent in your Wayfound organization. This includes the agent’s role, goal, guidelines, and sentiment tuning.
Empowering Enterprises with a Native AI Architecture
“Our MCP solution significantly reduces integration complexity, enabling enterprises to adopt advanced AI agent management without friction,” said Tatyana Mamut, CEO of Wayfound. “We recognize the rapid adoption of MCP and its growing network effect in the enterprise ecosystem, and we are committed to providing robust, secure solutions that businesses can trust as their agentic operations scale.”
Measuring MCP Success at Wayfound
Wayfound measures the success of MCP primarily through server usage metrics. Initial adoption has seen substantial engagement through test projects and experimentation among enterprise customers. The company expects significant growth in the number of production systems utilizing its MCP server within the next year. True validation of MCP’s impact will be observed as more interactions transition from REST APIs to the MCP-based architecture.
Accelerate Your AI Agent Strategy
With Wayfound’s MCP capabilities, businesses can:
- Deploy AI Agents Rapidly: Reduce the overhead of integrating AI agents into complex enterprise systems.
- Automate Routine Tasks: Simplify management by embedding guideline checks and agent performance analytics into everyday workflows.
- Enhance Compliance and Performance: Proactively manage agent performance and ensure consistent adherence to organizational guidelines.
Discover how Wayfound’s MCP server can elevate your AI strategy. Learn more at wayfound.ai/pages/wayfound-mcp.
About Wayfound.ai: Wayfound is the leading platform for AI agent management, focused on observability, explainability, and alerting solutions tailored specifically for enterprise-scale AI integrations. We empower businesses to confidently manage their agentic workforce, ensuring efficiency, compliance, and alignment with strategic objectives.