pulsemcp scanned Safe content atomic mcp-remote

Cloudera AI Agent Studio

Cloudera AI Agent Studio MCP Server provides a bridge between AI assistants and Cloudera's Agent Studio platform, enabling programmatic creation and management of AI workflows and agents. Built with Python using the FastMCP framework, it exposes tools for listing, creating, and configuring workflows, adding manager and specialized agents to workflows, and enabling conversational capabilities. The server communicates with the Agent Studio API using environment-configured credentials, handling the complex backend interactions required to set up multi-agent systems with hierarchical management structures. It's particularly valuable for developers who want to automate the creation of sophisticated agent-based workflows in Cloudera environments without navigating the underlying API complexity.

Cognium trust score

64%

Tier

Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/jasonmeverett/cloudera-ai-agent-studio-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

View source Find related skills

MCP

Resolve Cloudera AI Agent Studio 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"