pulsemcp Safe content atomic mcp-remote

Cline Personas

This MCP server, developed by Brad Fair, implements a persona management system for Cline using shared components and templates. Built with TypeScript, it provides tools for creating, updating, and activating personas defined in `.clinerules` files. The implementation features component reusability, mustache-style variable substitution in templates, dependency validation, and version tracking for both components and personas. By abstracting persona management into standardized MCP endpoints, it allows AI systems to dynamically adjust their behavior and responses. This server is particularly useful for scenarios requiring flexible AI personality management, such as customer support chatbots, interactive storytelling applications, or personalized AI assistants that need to adapt to different user preferences or contexts.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/bradfair/mcp-cline-personas
Author type: human
Updated: 2026-04-25

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MCP

Resolve Cline Personas 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"