pulsemcp verified Safe content atomic mcp-remote

Agent Server

This MCP server provides a foundation for building AI agent systems with persistent memory and workflow integration, designed specifically for SaaS deployment and monetization. Built by Matthew Smith using Node.js, TypeScript, Express, and PostgreSQL with Prisma ORM, it offers core functionality for agent management, persistent memory storage per agent, user authentication with API key management, and n8n workflow integration through trigger endpoints. The implementation features Docker containerization for easy deployment, database migrations for schema management, and a RESTful API structure that supports multi-tenant SaaS applications, making it valuable for developers building AI employee systems that need to maintain context across sessions, integrate with existing workflow automation tools, and scale as commercial offerings.

Cognium trust score

100%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/leadbroaf/mcp-agent-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Agent Server 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"