# trust-mcp

> trust-mcp — synpareia-trust-mcp. Use this tool when you need to establish and manage identity and trust between AI agents, solving problems related to secure communication and collaboration. It provides a server-based solution, accepting inputs such as agent credentials and policy definitions, and outputs trusted connections and access controls. Utilize trust-mcp in contexts where secure multi-agent interactions are crucial, such as distributed AI systems or federated learning environments.

Canonical page: https://skillsregistry.net/skills/synpareia-trust-mcp  
JSON: https://api.skillsregistry.net/v1/skills/synpareia-trust-mcp

## Description

Identity and trust tools for AI agents — MCP server

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/synpareia/trust-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": "synpareia-trust-mcp"
    }
  }
}
```

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