Agentoracle
БесплатноНе проверенMCP server for AgentOracle — trust verification for AI agent claims via Model Context Protocol. Standards-track receipts as MCP tool responses.
Описание
MCP server for AgentOracle — trust verification for AI agent claims via Model Context Protocol. Standards-track receipts as MCP tool responses.
README
Add trust verification to Claude, Cursor, Windsurf, or any MCP client in 60 seconds.
AgentOracle verifies claims before your agent acts on them. Per-claim confidence scores, ACT/VERIFY/REJECT recommendations, and 4-source verification — available as an MCP tool with one command.
Install
npx agentoracle-mcp
That's it. No API keys. No accounts. No wallet setup required to start.
Add to Claude Desktop
Open your Claude Desktop config file:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this:
{
"mcpServers": {
"agentoracle": {
"command": "npx",
"args": ["-y", "agentoracle-mcp"]
}
}
}
Restart Claude Desktop. You now have trust verification as a tool.
Add to Cursor
Open Cursor Settings → MCP → Add Server:
{
"agentoracle": {
"command": "npx",
"args": ["-y", "agentoracle-mcp"]
}
}
Add to Windsurf
Open Windsurf Settings → MCP Servers → Add:
{
"agentoracle": {
"command": "npx",
"args": ["-y", "agentoracle-mcp"]
}
}
What you can do once installed
Ask Claude, Cursor, or any MCP client:
- "Verify these claims before I include them in my report"
- "Is it true that OpenAI acquired Anthropic in 2026?"
- "Research AI agent frameworks and tell me what confidence score each claim gets"
- "Fact-check this paragraph before I publish it"
AgentOracle breaks the input into individual claims, runs each one through 4 independent sources, and returns a confidence score and verdict for every single claim.
What comes back
{
"overall_confidence": 0.91,
"recommendation": "act",
"claims": [
{
"claim": "LangGraph leads agent frameworks in 2026",
"verdict": "supported",
"confidence": 0.94,
"evidence": "Confirmed across 4 independent sources"
},
{
"claim": "OpenAI acquired Anthropic in early 2026",
"verdict": "refuted",
"confidence": 0.04,
"correction": "Anthropic remains independent as of April 2026"
}
]
}
How verification works
Every claim runs through 4 sources in parallel:
- Sonar — real-time web research
- Sonar Pro — deep multi-step analysis
- Adversarial — actively tries to disprove the claim
- Gemma 4 — claim decomposition and confidence calibration
Consensus builds the score. Contradiction flags the risk.
| Score | Recommendation | Meaning |
|---|---|---|
| > 0.8 | act |
Claims verified — proceed |
| 0.5–0.8 | verify |
Uncertain — needs review |
| < 0.5 | reject |
Contradicted — discard |
Pricing
| Endpoint | Price | What it does |
|---|---|---|
/preview |
Free | 20 req/hr, no payment needed |
/evaluate |
$0.01/claim | Full per-claim verification |
/research |
$0.02/query | Real-time research + verification |
Payments via x402 protocol — USDC on Base, SKALE (gasless), or Stellar. No subscriptions. No minimums.
The free /preview endpoint works with no wallet or setup.
Use it to try before you pay.
Try it now without installing anything
curl -X POST https://agentoracle.co/preview \
-H "Content-Type: application/json" \
-d '{"query": "OpenAI acquired Anthropic in 2026"}'
Related
- agentoracle.co — main site + live demo
- Trust Layer docs — full API reference
- langchain-agentoracle — LangChain integration
- crewai-agentoracle — CrewAI integration
- x402 manifest — agent-native pricing discovery
Built by TK Collective · x402 native · Base · SKALE · Stellar
Discovery
agentoracle-mcp is listed on independent x402 discovery directories:
- Decixa — Auto-indexed x402 directory with live probe verification. AgentOracle is classified under Analyze with tags Verification, Data Enrichment. View listings:
- Research — $0.02/call
- Deep Research — $0.10/call
- Evaluate — free during beta
- Glama — Curated MCP directory
Future versions of agentoracle-mcp will use Decixa's /api/agent/resolve as primary capability discovery with a local fallback — letting agents find the best-matching x402 endpoint by intent rather than hardcoded URLs.
Установка Agentoracle
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/TKCollective/agentoracle-mcpFAQ
Agentoracle MCP бесплатный?
Да, Agentoracle MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Agentoracle?
Нет, Agentoracle работает без API-ключей и переменных окружения.
Agentoracle — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Agentoracle в Claude Desktop, Claude Code или Cursor?
Открой Agentoracle на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Agentoracle with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
