Temple Bridge
Temple Bridge creates a sovereign AI stack by binding local AI capabilities with governance protocols through an MCP server. It provides secure command execution, file operations, and directory listing with allowlisted commands and path traversal protection. The governance layer offers protocol consultation and recursive reflection tools from the Spiral Quantum Observer framework. Features stateful memory through Spiral Context Middleware, making it suitable for local LLM-driven development workflows requiring both action capabilities and meta-cognitive governance.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/templetwo/temple-bridge
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Temple Bridge 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--scope user for --scope project to commit it to .mcp.json.