Apollo MCP Server

What does “Apollo” MCP Server do?

The Apollo MCP Server is an implementation of the Model Context Protocol (MCP) designed to expose GraphQL operations as MCP tools. By serving as a bridge between AI assistants and external GraphQL data sources or APIs, it enhances developer workflows by allowing AI clients to perform queries, mutations, and other operations directly through a standardized protocol. This enables tasks such as database querying, file management, and API interactions, all mediated through GraphQL endpoints. With the Apollo MCP Server, developers can automate routine tasks, integrate data from various services, and streamline their development processes using AI-driven workflows.

List of Prompts

No information about prompt templates was found in the provided repository.

List of Resources

No information about specific MCP resources was found in the provided repository.

List of Tools

• GraphQL Operations as Tools
  • The Apollo MCP Server exposes available GraphQL operations (queries, mutations) as MCP tools, enabling AI clients to interact with GraphQL APIs programmatically.

Use Cases of this MCP Server

• GraphQL API Integration
  • Seamlessly connect AI assistants to GraphQL APIs, enabling real-time data retrieval and mutation.
• Automated Database Interactions
  • AI workflows can query, insert, or update database records via GraphQL endpoints exposed through MCP.
• Rapid Prototyping
  • Developers can quickly test and iterate on GraphQL operations using AI tools integrated with the Apollo MCP Server.
• Data Analysis
  • Use AI to analyze data fetched from GraphQL APIs, providing insights or summaries to users.
• DevOps Automation
  • Automate deployment, monitoring, or configuration tasks by interfacing AI tools with GraphQL-powered backend services.

How to set it up

Windsurf

No platform-specific setup instructions found for Windsurf.

Claude

No platform-specific setup instructions found for Claude.

Cursor

No platform-specific setup instructions found for Cursor.

Cline

No platform-specific setup instructions found for Cline.

Example JSON configuration

No configuration snippets found in the repository.

Securing API Keys

No explicit instructions or examples for securing API keys using environment variables were found in the repository.

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:

{
  "apollo-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 “apollo-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 available information, Apollo MCP Server is a focused and practical tool for exposing GraphQL APIs via MCP. However, the documentation in the public repository is minimal, lacking prompt templates, detailed setup instructions, and configuration examples. The presence of a LICENSE, tools, and moderate community interest are positives, but overall usability would benefit from additional documentation.

MCP Score

Rating:
Given the lack of configuration, prompt, and resource examples but a solid foundation and clear license, this MCP server would score 5/10 for general usability and documentation quality based on the above tables.