MCP serverCurated by metahubEval warnings

agno

Name: agno
Author: agno-agi

The programming language for agentic software.

pinned to #7f510d3updated 3 weeks ago

6/11Verified publisherCurated by MetaHubActively maintainedLicensedDocumentedClean repo

Ask your AI client: “install mcps/agno”.

Requires the metahub MCP server installed in your client. Set up MCP.

mh install mcps/agno

metahub onboarded this repo on the author's behalf.

If you own github.com/agno-agi/agno on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.

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#agents
#ai
#ai-agents
#developer-tools
#python

Evaluation report

Warnings

Automated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.7f510d3· 3 weeks ago

Documentation

Description qualitywarn
Only 6 words · 46 chars — more detail helps discovery
Tell consumers what this artifact does in a full sentence.
README is present and substantial
4,173 chars · 8 sections
Tags / topics declared
5 total — agents, ai, ai-agents, developer-tools, python
README has usage / example sectionswarn
README has no Usage / Example / Quick start / Installation heading at any level
Add a `# Usage`, `## Quick start`, or similar section so end users can copy/paste a working invocation. Code blocks alone work too if there are several.
Homepage / docs URL declared
https://docs.agno.com

Release history

releasecurrent7f510d3warn3 weeks ago

View on GitHub

Introduction

Agno is an SDK for building agent platforms.

Build agents using any agent framework.
Run them as production services with tracing, scheduling, and RBAC.
Manage using a single control plane.

Agno allows you to own your agent stack. Maintain control of your data, context, tools, permissions, memory and human-review loops. Run your platform in your cloud, and manage it using a beautiful UI.

demo-os

What you can build

Agno can bring any agent to life, here are some examples:

Coda → A code companion that lives in Slack and works alongside your team.
Dash → A self-learning data agent that grounds answers in 6 layers of context.
Scout → A context agent that navigates Slack and Google Drive to answer questions.
Auto Improving Agent Platform → Build your own agent platform with an auto-improvement loop.

Get started

Features

Production API. 50+ endpoints with SSE and websockets to build a product on top.
Storage. Store sessions, memory, knowledge, and traces in your own database.
100+ integrations. Integrate with 100+ tools using pre-built toolkits.
Context Providers. Access live data from Slack, Drive, wikis, MCP, and custom sources.
Human approval. Pause runs for user confirmation. Block tools that require admin approval.
Observability. Get monitoring via OpenTelemetry tracing, run history, and audit logs out of the box.
Security. Get JWT-based RBAC and multi-user, multi-tenant isolation out of the box.
Interfaces. Expose your agents via Slack, Telegram, WhatsApp, Discord, AG-UI, A2A.
Scheduling. Cron-based scheduling and background jobs with no external infrastructure.
Deploy anywhere. Run on any cloud platform that runs containers. Docker, Railway, AWS, GCP.

Use Agno with your coding agent

Two options:

Add Agno docs as an indexed source. In Cursor: Settings → Indexing & Docs → Add https://docs.agno.com/llms-full.txt. Also works in VSCode, Windsurf, and similar tools.
Add Agno docs as an MCP server. Add docs.agno.com/mcp to your favourite coding agent.

Read the full guide here.