LLM Responses
The LLM Responses MCP Server enables multiple AI agents to share and read each other's responses to the same prompt, facilitating collaborative analysis and reflection. Built with TypeScript using the Model Context Protocol SDK, it provides two main tools: 'submit-response' for LLMs to submit their answers to a prompt, and 'get-responses' to retrieve all responses from other LLMs for a specific question. The implementation includes Docker configuration for easy deployment to EC2 instances and uses Bun as its JavaScript runtime. This server is particularly valuable for scenarios where multiple AI agents need to analyze the same problem and learn from each other's perspectives.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/kstrikis/ephor-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve LLM Responses 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.