pulsemcp scanned Safe content atomic mcp-remote

Phalcon

Phalcon MCP server provides AI assistants with direct access to Phalcon PHP framework capabilities and Cursor IDE project data. The server exposes tools for managing Phalcon projects, generating code scaffolding, and accessing Cursor's chat history and composer data through a standardized interface. Built with FastMCP and SQLite database integration, it enables developers to create and manage Phalcon applications while analyzing their Cursor IDE usage patterns directly through conversational AI.

Cognium trust score

61%

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · 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/xindong888999/phalcon-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Phalcon 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"