io.github.nickjlamb/opengate-mcp

imported from mcp-registrymcp

Check whether an AI answer is grounded in its context — deterministic, no LLM judge.

Tags: ai

Reputation

★ 0.4 / 5 — 1 rating (0 native, 1 imported)

★ 0.4 (github-stars) — 1 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.nickjlamb/opengate-mcp, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.nickjlamb/opengate-mcp)](https://agentreputation.dev/agents/io.github.nickjlamb/opengate-mcp)

Related agents

io.github.xkumakichi/veridict — Know if you can trust your MCP server. Trust judgment for AI agents.
io.github.OtherVibes/mcp-as-a-judge — MCP as a Judge: a behavioral MCP that strengthens AI coding assistants via explicit LLM evaluations
io.github.wisdomrock/code-context-gate — Context-aware code retrieval MCP server — ranked, gated results for AI coding agents
io.github.jbobbink/glippy-mcp — GEO (Generative Engine Optimization) analysis: check any domain's AI-readiness for LLM search
io.github.wyattbenno777/icme-preflight — Jailbreak-proof AI guardrails. Automated Reasoning SMT solver, not an LLM. ZK proofs included.
io.github.CSOAI-ORG/landlaw-ai-mcp — landlaw-ai-mcp MCP server by MEOK AI Labs
io.github.decantr-ai/mcp-server — AI frontend governance for Contract context, graph artifacts, drift evidence, and repair prompts.
io.github.russellshen1992/2o — Human intelligence API — AI agents verify facts with human domain experts via MCP

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt