RemoteAgent
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- container
- Category
- devops-ci
- Source
- Smithery
- Repository
- github.com/harshapalnati/raworc-mcpserver
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve RemoteAgent from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.