Openclaw Output Vetter MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 123 installs a week from pypi.
Verify AI agent claims vs reality: inline grounding-check + swallowed-exception + transcript review.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add openclaw-output-vetter-mcp -- uvx openclaw-output-vetter-mcp
{
"mcpServers": {
"openclaw-output-vetter-mcp": {
"command": "uvx",
"args": [
"openclaw-output-vetter-mcp"
]
}
}
}
[mcp_servers.openclaw-output-vetter-mcp]
command = "uvx"
args = ["openclaw-output-vetter-mcp"]
{
"mcpServers": {
"openclaw-output-vetter-mcp": {
"command": "uvx",
"args": [
"openclaw-output-vetter-mcp"
]
}
}
}
{
"servers": {
"openclaw-output-vetter-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"openclaw-output-vetter-mcp"
]
}
}
}
Execution-grounded verification for AI coding agents on Windows: evidence, not agent claims.
Identity verification, document checks, sanctions/PEP screening and case review as agent tools.
Guardrails for AI coding agents: verified claims, reviews bound to exact commits, gated merges.
Grounding/hallucination guard: verify a claim against evidence (Supported/Refuted/NEE).
Deployment-readiness checks for document-QA and extraction AI: grounding, extraction, CI gate.
Manage Chatley AI voice agents: review calls, transcripts and analytics, and edit agents safely.
Verify the facts an agent's action depends on before it acts — ALLOW, REVIEW, or BLOCK.
Verify the facts an agent's action depends on before it acts — ALLOW, REVIEW, or BLOCK.
Answers built from our own checks of this server.