MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.
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process.env. You'll be asked to provide them before it can run.MCP_TRANSPORT— Note: Make sure to start the SSE server separately with =sse uv run main.py before using this configuration.MCP_HOSTMCP_PORTDCI_CS_URL— "": "https://api.distributed-ci.io"GOOGLE_CREDENTIALS_PATH— =credentials.jsonDATE_TOOLS_ENABLED— Enabled by default. Set =false to disable.JIRA_API_TOKEN— your_jira_api_token_hereJIRA_WRITE_ENABLED— Note: Jira write tools require both JIRA_API_TOKEN and =true environment variables.GITHUB_TOKEN— your_github_token_hereGITLAB_TOKENGOOGLE_TOKEN_PATH— =token.jsonOFFLINE_TOKEN— your_offline_token_hereMCP_SHOW_BANNERDCI_CLIENT_ID— client_type>/<client_id>DCI_API_SECRET— api_secret>DCI_LOGINDCI_PASSWORDGITLAB_URLGITLAB_SSL_VERIFYJIRA_URLJIRA_EMAIL— you@redhat.com[](https://m8ven.ai/mcp/redhat-community-ai-tools-dci-mcp-server-1b63ow)