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pulsemcp

Agentic AI Feature Management

Automates feature management by processing Jira webhook tickets to extract structured requests from natural language descriptions and execute feature toggles across customer accounts.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: AWS_SECRET_ACCESS_KEY, API_CLIENT_SECRET, JIRA_WEBHOOK_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configBEDROCK_MOCK_MODETrue # Set to False for production
configAWS_REGIONself.region = os.getenv('', 'us-east-1')
configAWS_ACCESS_KEY_IDexport =your_key
🔐 secretAWS_SECRET_ACCESS_KEYexport =your_secret
configAPI_MOCK_MODETrue # Set to False for production
configAPI_BASE_URLexport =https://api.example.com
configAPI_CLIENT_IDexport =your_client_id
🔐 secretAPI_CLIENT_SECRETexport =your_secret
configMAX_INPUT_LENGTHexport =10000
configRATE_LIMIT_REQUESTSexport =100
configRATE_LIMIT_WINDOWexport =60
configAUDIT_LOG_LEVEL
configMCP_SERVER_URL
🔐 secretJIRA_WEBHOOK_SECRET
configLOG_LEVEL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/aliazam2012-agentic-ai-mcp-feature-management-1e9i69)](https://m8ven.ai/mcp/aliazam2012-agentic-ai-mcp-feature-management-1e9i69)
commit: 138efd2960d9d7dcb17887e157c13e24b956d383
code hash: 7d2ecc76bd3c636f1a6c8dc04de8b80e8a95f27ca47c72bbe6acd0d66e3e8841
verified: 7/24/2026, 8:48:33 AM
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