# RemoteAgent

> Use this tool when you need to integrate and orchestrate large language models with external tools and data sources, or to scale AI agents with minimal DevOps effort. RemoteAgent provides a secure, standardized protocol interface for connecting models to APIs and frameworks, supporting JSON tool-calling and multi-agent workflows. It is ideal for teams looking to streamline AI development and deployment across platforms like LangChain, CrewAI, and AutoGen.

Canonical page: https://skillsregistry.net/skills/harshapalnati-raworc-mcpserver  
JSON: https://api.skillsregistry.net/v1/skills/harshapalnati-raworc-mcpserver

## Description

RemoteAgent MCP Server is a lightweight, containerized runtime designed to bridge Model Context Protocol (MCP) with modern AI platforms. It enables developers to connect large language models (LLMs) like OpenAI, Anthropic, and local models to external tools, APIs, and data sources through a secure, persistent session layer. With built-in RBAC, session isolation, and support for JSON tool-calling, Raworc MCP Server makes it simple to run deep, multi-agent workflows across frameworks such as LangChain, CrewAI, and AutoGen.

By providing a standardized protocol interface, RemoteAgent MCP Server helps teams integrate, orchestrate, and scale AI agents with minimal DevOps effort — production-ready from day one.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/harshapalnati/raworc-mcpserver)
- **Repository:** <https://github.com/harshapalnati/raworc-mcpserver>

## 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": "harshapalnati-raworc-mcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harshapalnati-raworc-mcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harshapalnati-raworc-mcpserver/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