# MCP Agent Bridge

> Use this tool when you need to integrate multiple AI agents, such as Hermes Agent and OpenClaw, to share resources and collaborate on complex tasks. The MCP Agent Bridge solves the problem of isolated agent functionality by enabling seamless tool and memory sharing between agents. It provides a cooperative multi-agent system interface, accepting agent inputs and producing unified outputs to facilitate efficient task execution.

Canonical page: https://skillsregistry.net/skills/fkdt01-mcp-agent-bridge  
JSON: https://api.skillsregistry.net/v1/skills/fkdt01-mcp-agent-bridge

## Description

A bridge server that enables Hermes Agent and OpenClaw to share tools and memory, forming a cooperative multi-agent system.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eruxphh3xc)
- **Repository:** <https://github.com/fkdt01/mcp-agent-bridge>

## 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": "fkdt01-mcp-agent-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fkdt01-mcp-agent-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fkdt01-mcp-agent-bridge/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