MCP Node

Use Model Context Protocol servers to extend AI capabilities

Overview

The MCP (Model Context Protocol) Node enables AI agents to use tools from MCP servers. This node enables you to:

• Connect to MCP-compliant tool servers
• Use external tools and APIs through standardized interfaces
• Extend AI capabilities with specialized functions
• Integrate with services that provide MCP servers
• Access resources and tools from various providers

This node is experimental and may be unreliable. Use with caution in production workflows.

Configuration Parameters

Node Configuration

• MCP Server:

  Select which MCP server to connect to. Available options include:

  • GitHub MCP Server (for GitHub operations)
  • Other configured MCP servers

• Query:

  The task or question for the agent to accomplish using the MCP server’s tools

  What tools can you use?

  Create a new issue in the repository

  Search for pull requests related to bug fixes

Advanced Settings

• System Prompt: Customize how the agent uses MCP tools

• Model: Select the language model (must support function calling)

• Max Steps: Maximum number of reasoning and tool-use iterations (1-50)

Expected Inputs and Outputs

• Inputs:

  • The node accepts text input that can be referenced in the query

• Outputs:

  • output: The agent’s final response after using MCP tools
  • conversation: Detailed log of tool calls and reasoning

Use Case Examples

1. GitHub Automation:

   Use the GitHub MCP server to automate repository operations like creating issues, managing pull requests, or updating code.

2. External Service Integration:

   Connect to MCP servers provided by third-party services for specialized functionality.

3. Tool Discovery:

   Query MCP servers to discover available tools and capabilities, then use them dynamically.

Error Handling and Troubleshooting

• MCP Server Connection:

  Ensure the MCP server is accessible and properly configured with any required authentication.

• Tool Compatibility:

  Not all MCP tools may work as expected. This is an experimental feature with ongoing improvements.

• Model Selection:

  Use models with strong function-calling capabilities for reliable MCP tool usage.

If you encounter any issues not covered in this documentation, please reach out to our support team for assistance.

Relevant Nodes

LLM Node

Standard LLM operations

GitHub Agent

Direct GitHub integration

REST API Node

Call REST APIs directly