Agentops Mcp

Community

makabakaxy

agentops-mcp

Monitor AI agent traces and spans via CLI. Use when user needs to authorize with AgentOps, retrieve trace information, or inspect span metrics.

Overview

Publisher	makabakaxy
Repository	`mcp2cli`
Skill name	`agentops-mcp`
Stars	66
Forks	5
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by makabakaxy on GitHub. Read the source before you install it.

Installation

Install the Agentops Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/makabakaxy/mcp2cli/tree/main/presets/agentops-mcp/0.3.0/skills
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/makabakaxy/mcp2cli.git /tmp/mcp2cli
mkdir -p .claude/skills
cp -r /tmp/mcp2cli/presets/agentops-mcp/0.3.0/skills .claude/skills/agentops-mcp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentops Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agentops Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agentops Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

agentops-mcp (via mcp2cli)

Monitor AI agent observability data via AgentOps — traces, spans, and metrics.

Shortcuts

mcp2cli agentops <cmd> (alias for mcp2cli agentops-mcp)

Commands

Auth

Command	Description	Example	Ref
`mcp2cli agentops auth`	Authorize with AgentOps API key	`mcp2cli agentops auth --api-key YOUR_KEY`	ref

Trace

Command	Description	Example	Ref
`mcp2cli agentops trace get`	Get trace info and metrics by ID	`mcp2cli agentops trace get --trace-id abc123`	ref
`mcp2cli agentops trace get-complete`	Get complete trace with all data	`mcp2cli agentops trace get-complete --trace-id abc123`	ref

Span

Command	Description	Example	Ref
`mcp2cli agentops span get`	Get span info and metrics by ID	`mcp2cli agentops span get --span-id xyz456`	ref

Discover Parameters

Append --help to any command for full parameter list:


mcp2cli agentops trace get --help

Note: Use Ref links in the Commands table above to view detailed parameter reference and more examples.

User Notes

MUST READ users/skill.md for custom workflows and tips. Config: MCP server settings live in ~/.agents/mcp2cli/servers.yaml - edit there to take effect.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agentops Mcp AI skill do?

Monitor AI agent traces and spans via CLI. Use when user needs to authorize with AgentOps, retrieve trace information, or inspect span metrics.

Why use Agentops Mcp on TypingMind?

Because you install it once and use it with any model. Agentops Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agentops Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/makabakaxy/mcp2cli/tree/main/presets/agentops-mcp/0.3.0/skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agentops Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agentops Mcp?

As many as you like. As long as a model supports skills, you can use Agentops Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agentops Mcp AI skill free?

Yes. It is published on GitHub by makabakaxy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

agentops-mcp (via mcp2cli)

Shortcuts

Commands

Auth

Trace

Span

Discover Parameters

User Notes

Bundled files

Frequently asked questions

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