pulsemcp scanned Safe content atomic mcp-remote

Agentic AI Feature Management

Processes Jira webhook tickets using AWS Bedrock's Claude 3 Haiku to extract structured feature management requests from natural language support ticket descriptions. Provides three core tools for checking feature status, enabling features, and disabling features across customer accounts. Features comprehensive security measures including prompt injection detection, input sanitization, rate limiting, and audit logging. Built with a modular architecture separating the Lambda handler, MCP server, and security components, supporting both mock and production modes with OAuth2 authentication for external API integration.

Cognium trust score

53%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/aliazam2012/agentic-ai-mcp-feature-management
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Agentic AI Feature Management from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"