Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Aha! MCP Server get the details for feature DEVELOP-456"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Python-based MCP server for interacting with Aha! API using FastMCP with HTTP streaming capabilities.
HTTP Streaming: Built with FastMCP for efficient HTTP streaming
GraphQL Integration: Uses GraphQL to query Aha! API
Three Main Tools:
get_record: Get features or requirements by reference number
get_page: Get pages with optional parent relationships
search_documents: Search for Aha! documents
Related MCP server: GitHub GraphQL API MCP
AHA_API_TOKEN: Your Aha! API token (required)
AHA_DOMAIN: Your Aha! domain name (required)
PORT: Server port (default: 9004)
pip install -r requirements.txt# Set environment variables
export AHA_API_TOKEN="your_token_here"
export AHA_DOMAIN="your_domain_here"
# Run with HTTP streaming (default)
python main.py
# Or run with stdio transport
python main.py --transport stdio# Build the image
docker build -t aha-mcp .
# Run the container
docker run -e AHA_API_TOKEN="your_token_here" -e AHA_DOMAIN="your_domain_here" -p 9004:9004 aha-mcpGet an Aha! feature or requirement by reference number.
Input: reference (string) - e.g., "DEVELOP-123" or "ADT-123-1"
Output: JSON with name and description
Get an Aha! page by reference number with optional relationships.
Input:
reference (string) - e.g., "ABC-N-213"
include_parent (boolean, optional) - Include parent page
Output: JSON with page details, children, and optional parent
Search for Aha! documents.
Input:
query (string) - Search query
searchable_type (string, optional) - Document type (default: "Page")
Output: JSON with search results and pagination info
server.py: Main FastMCP server with tool definitions
handlers.py: Business logic for handling each tool
queries.py: GraphQL queries for Aha! API
types.py: Python dataclasses for type safety
main.py: Entry point for running the server
Inspired from https://github.com/aha-develop/aha-mcp
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