Evidence Gate runs on your own machine — the client starts it, so there is no endpoint to ping. 273 installs a week from pypi. Last commit 28 Aug 2026.
Local checks for artifacts, declared claim evidence, and citation containment.
What the code does
We read the source, 19 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
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 evidence-gate -- uvx dailyaiagents-evidence-gate{
"mcpServers": {
"evidence-gate": {
"args": [
"dailyaiagents-evidence-gate"
],
"command": "uvx"
}
}
}[mcp_servers.evidence-gate]
command = "uvx"
args = ["dailyaiagents-evidence-gate"]{
"mcpServers": {
"evidence-gate": {
"args": [
"dailyaiagents-evidence-gate"
],
"command": "uvx"
}
}
}{
"mcpServers": {
"evidence-gate": {
"args": [
"dailyaiagents-evidence-gate"
],
"command": "uvx"
}
}
}Alternatives to Evidence Gate
same job, measured the same wayLocal static analysis and evidence generation for deployed AI model artifacts.
Condition-aware ingredient and product checks for agents, with evidence tiers and citations.
Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.
Engineering decisions, change impact, documentation audits, and CI evidence for coding assistants.
Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.
Evidence-backed web research for AI agents with citations and confidence scores.
Bounded local runtime evidence from explicit artifacts and typed direct targets.
Local completion-contract checks and release receipts.
Evidence Gate — questions
Answers built from our own checks of this server.