pulsemcp scanned Safe content atomic mcp-remote

Templonix Lite

Templonix Lite is a local-first AI agent infrastructure that extends Claude Desktop capabilities through specialized MCP tools. It features persistent vector memory using FAISS for information storage across conversations, a knowledge base loader for semantic search across uploaded documents, and a dynamic workflow system enabling expert personas with specialized knowledge. The server integrates with Gmail, Google Calendar, Asana, Notion, Google Drive, Eraser.io for diagram generation, and Jina AI for web scraping.

Cognium trust score

58%

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: communication
Source: PulseMCP
Repository: github.com/0xcjt/templonixlite
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Templonix Lite 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"