# tanilo-mcp

> tanilo-mcp — tkcollective-tanilo-mcp. Use this tool when you need to verify claims made by AI agents, as it provides a Model Context Protocol (MCP) server for claim verification via the Tanilo (formerly AgentOracle) platform. It solves problems related to AI agent trust and reliability by enabling secure and standardized communication. The tool takes in AI agent claims as input and outputs verified results, making it ideal for use cases where AI agent credibility is crucial.

Canonical page: https://skillsregistry.net/skills/tkcollective-tanilo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tkcollective-tanilo-mcp

## Description

MCP server for Tanilo (formerly AgentOracle) — claim verification for AI agents via Model Context Protocol. npm package: agentoracle-mcp.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/TKCollective/tanilo-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tkcollective-tanilo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tkcollective-tanilo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tkcollective-tanilo-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
