iFly-Spark-Agent-MCP Server

Connect AI assistants to the iFlytek SparkAgent Platform via MCP for file management, workflow automation, and easy integration with FlowHunt.

iFly-Spark-Agent-MCP Server

What does “iFly-Spark-Agent-MCP” MCP Server do?

The iFly-Spark-Agent-MCP MCP Server is a simple example implementation that connects AI assistants to the iFlytek SparkAgent Platform using the Model Context Protocol (MCP). This server acts as a bridge, allowing AI clients to invoke task chains on the SparkAgent Platform through a standardized interface. By exposing tools such as file upload, it enables seamless AI integration for tasks such as file management, process automation, and workflow orchestration. The server is designed to enhance development workflows by facilitating communication between AI assistants and the SparkAgent’s capabilities, making it easier for developers to add advanced functionality to their applications.

List of Prompts

No prompt templates are mentioned in the repository.

List of Resources

No explicit resources are listed or described in the repository.

List of Tools

  • upload_file
    Allows clients to upload a file by specifying the file path. This tool exposes file management capabilities to AI clients, enabling them to send files to the SparkAgent Platform for further processing or workflow execution.

Use Cases of this MCP Server

  • File Upload and Management
    Developers can use the upload_file tool to transfer local files to the SparkAgent Platform, automating file-based workflows or initiating processing pipelines.
  • Task Chain Invocation
    The server enables AI clients to trigger task chains on the SparkAgent Platform, streamlining complex operations that require orchestrating multiple steps or services.
  • Integration with AI Development Tools
    By supporting MCP, the server can be integrated with AI development environments like Claude, Cursor, and Windsurf, making it easier to connect AI applications with SparkAgent’s capabilities.
  • Automated Workflow Execution
    Developers can automate repetitive tasks or batch processes by invoking SparkAgent workflows programmatically through the MCP server interface.

How to set it up

Windsurf

No specific instructions found for Windsurf.

Claude

  1. Ensure prerequisites:
    • Install Node.js and uv or uvx.
    • Clone or download the iFly-Spark-Agent-MCP repository.
  2. Locate and open claude_desktop_config.json or mcp.json.
  3. Add the server using either method:

Using uv:

{
  "mcpServers": {
    "ifly-spark-agent-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/ifly-spark-agent-mcp",
        "run",
        "ifly-spark-agent-mcp"
      ],
      "env": {
        "IFLY_SPARK_AGENT_BASE_URL": "xxxx",
        "IFLY_SPARK_AGENT_APP_ID": "xxxx",
        "IFLY_SPARK_AGENT_APP_SECRET": "xxxx"
      }
    }
  }
}

Using uvx with GitHub repository:

{
  "mcpServers": {
    "ifly-spark-agent-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/iflytek/ifly-spark-agent-mcp",
        "ifly-spark-agent-mcp"
      ],
      "env": {
        "IFLY_SPARK_AGENT_BASE_URL": "xxxx",
        "IFLY_SPARK_AGENT_APP_ID": "xxxx",
        "IFLY_SPARK_AGENT_APP_SECRET": "xxxx"
      }
    }
  }
}
  1. Save the configuration file and restart Claude.
  2. Verify the setup by listing available tools or executing a test command.

Securing API Keys

Store sensitive keys in the env section:

"env": {
  "IFLY_SPARK_AGENT_BASE_URL": "xxxx",
  "IFLY_SPARK_AGENT_APP_ID": "xxxx",
  "IFLY_SPARK_AGENT_APP_SECRET": "xxxx"
}

Cursor

No specific instructions found for Cursor.

Cline

No specific instructions found for Cline.

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:

FlowHunt MCP flow

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:

{
  "ifly-spark-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 “ifly-spark-agent-mcp” to match your actual server name and URL.


Overview

SectionAvailabilityDetails/Notes
OverviewOverview provided in README and description
List of PromptsNo prompt templates found
List of ResourcesNo resources listed
List of Toolsupload_file described in README
Securing API KeysUses env section in configuration example
Sampling Support (less important in evaluation)No sampling support mentioned

Based on the available documentation, this MCP server provides only basic functionality, primarily centered around one tool (upload_file). It includes straightforward setup guidance and proper license information, but lacks advanced features, prompt templates, and resource definitions. Its scope is limited but clear, ideal as a minimal working example. Overall, it rates low to moderate for versatility and depth.


MCP Score

Has a LICENSE✅ (MIT)
Has at least one tool
Number of Forks3
Number of Stars1

Frequently asked questions

What is the iFly-Spark-Agent-MCP Server?

It is an MCP server that connects AI assistants to the iFlytek SparkAgent Platform, enabling features like file upload, task chain invocation, and workflow orchestration through a standardized protocol.

What tools does this MCP server provide?

Currently, it provides the `upload_file` tool, allowing clients to upload files for management or further processing on the SparkAgent Platform.

How do I configure the iFly-Spark-Agent-MCP server in FlowHunt?

Add the MCP component in your FlowHunt workflow, then enter your MCP server details using a JSON configuration like: { "ifly-spark-agent-mcp": { "transport": "streamable_http", "url": "https://yourmcpserver.example/pathtothemcp/url" } } in the system MCP configuration section.

How are API keys and credentials secured?

API keys and credentials are stored in the `env` section of the configuration, keeping sensitive data out of source files and ensuring secure integration.

Can I integrate this server with other AI development tools?

Yes, the server can be used with Claude, Cursor, Windsurf, and other tools that support MCP, making it flexible for various AI development workflows.

Integrate iFly-Spark-Agent-MCP with FlowHunt

Enhance your AI development workflow by connecting FlowHunt with the iFly-Spark-Agent-MCP Server for seamless file uploads and automated task chains.

Learn more