Mesh Agent MCP Server

What does “Mesh Agent” MCP Server do?

The Mesh Agent MCP Server is designed to connect AI assistants with external data sources, APIs, and services, enhancing the development workflow by providing a bridge between large language models (LLMs) and real-world information. By acting as a connective layer, the Mesh Agent MCP Server enables tasks such as database queries, file management, and API interactions to be performed seamlessly. Its integration within the Model Context Protocol (MCP) ecosystem allows developers to leverage standardized methods for exposing resources, tools, and workflows, facilitating more robust, context-aware, and actionable AI-driven applications.

List of Prompts

No information about prompt templates was found in the repository.

List of Resources

No information about specific MCP resources provided by the Mesh Agent MCP Server was found in the repository.

List of Tools

No explicit tool definitions were found in the repository files or documentation.

Use Cases of this MCP Server

No concrete use cases were described in the accessible repository files.

How to set it up

Windsurf

1. Ensure you have Node.js and Windsurf installed.
2. Locate the Windsurf configuration file (typically windsurf.json).
3. Add the Mesh Agent MCP Server to the mcpServers section using the JSON snippet below.
4. Save the file and restart Windsurf.
5. Verify the MCP server is running and accessible.

{
  "mcpServers": {
    "mesh-agent-mcp": {
      "command": "npx",
      "args": ["@mesh-agent/mcp-server@latest"]
    }
  }
}

Claude

1. Ensure Claude is installed and configured.
2. Edit the Claude configuration file.
3. Insert the Mesh Agent MCP Server configuration under the MCP servers section.
4. Save and restart Claude.
5. Confirm the server connection is working.

{
  "mcpServers": {
    "mesh-agent-mcp": {
      "command": "npx",
      "args": ["@mesh-agent/mcp-server@latest"]
    }
  }
}

Cursor

1. Install Cursor and required dependencies.
2. Open your Cursor configuration file.
3. Add the Mesh Agent MCP Server configuration.
4. Save and restart Cursor.
5. Validate that the MCP server is operational.

{
  "mcpServers": {
    "mesh-agent-mcp": {
      "command": "npx",
      "args": ["@mesh-agent/mcp-server@latest"]
    }
  }
}

Cline

1. Make sure Cline and Node.js are installed.
2. Access the Cline configuration file.
3. Add the Mesh Agent MCP Server as shown below.
4. Save your changes and restart Cline.
5. Check the server status for successful integration.

{
  "mcpServers": {
    "mesh-agent-mcp": {
      "command": "npx",
      "args": ["@mesh-agent/mcp-server@latest"]
    }
  }
}

Securing API Keys

Store sensitive API keys using environment variables and reference them in your configuration. Example:

{
  "mcpServers": {
    "mesh-agent-mcp": {
      "command": "npx",
      "args": ["@mesh-agent/mcp-server@latest"],
      "env": {
        "API_KEY": "${MESH_AGENT_API_KEY}"
      },
      "inputs": {
        "api_key": "${MESH_AGENT_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "mesh-agent-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “mesh-agent-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the tables above, the Mesh Agent MCP Server repository is missing many MCP features such as explicit prompts, resources, and tools documentation. Its setup instructions are generic, and there’s a lack of concrete implementation or usage examples. Therefore, this MCP scores low for completeness and developer usability.

MCP Score