Ornn

★ 20

mcp-brasil

★ 1.8k

Ornn vs mcp-brasil

Q: Which is better, Ornn or mcp-brasil?

By GitHub stars, mcp-brasil has more community adoption, but the best choice depends on your specific use case.

Ornn: Ornn is an agent-facing skill lifecycle API — the npm registry and CLI fused into one, but for AI agent skills. Agents call Ornn directly over HTTP or MCP to search, pull, install, execute, build, upload, and share skills. It is model-agnostic, working with Claude, GPT, Gemini, or any custom runtime. Designed for agentic-system builders who want to manage reusable skills programmatically rather than hardcoding capabilities into each agent.; mcp-brasil: mcp-brasil is an MCP Server designed to connect AI agents like Claude, GPT, and Copilot to 50 public Brazilian data sources. It offers 435 tools across 11 thematic areas, including economics, legislation, transparency, and judiciary, with most APIs requiring no keys and others using free, quickly obtainable keys.

TL;DR

OrnnDev Tooling · ★ 20

Building an agentic system where agents can discover and install new capabilities at runtime

Read Ornn full review →

mcp-brasilAPI Integration · ★ 1.8k

Legislative: Query AI bills processed in the Chamber, including authors.

Read mcp-brasil full review →

Side-by-Side Comparison

Field

Ornn

mcp-brasil

Features

Ornn

01Full skill lifecycle: search, pull, install, execute, build, upload, share

02HTTP and MCP transport — agents call directly without human intermediation

03Model-agnostic: works with Claude, GPT, Gemini, or any custom runtime

04NyxID-based authentication for skill ownership and access control

05Web UI for skill owners and platform admins (secondary surface)

mcp-brasil

01435 tools across 50 features covering 11 thematic areas (e.g., economics, legislation, transparency)

02Large datasets with local caching capabilities (e.g., SIAPA, TSE electoral data) via embedded DuckDB

03Cross-referencing for complex queries using `planejar_consulta` (query planning)

04Batch execution of queries in parallel with `executar_lote`

05Smart discovery of relevant tools using BM25 search transform

Use Cases

Ornn

↳Building an agentic system where agents can discover and install new capabilities at runtime

↳Publishing reusable agent skills for other developers to consume via API or MCP

↳Managing a library of agent skills that multiple AI apps share

mcp-brasil

↳Legislative: Query AI bills processed in the Chamber, including authors.

↳Economic: Analyze Selic rate trends compared to inflation (IPCA) over 12 months.

↳Transparency: Identify the largest federal government contracts and their suppliers in a given year.

FAQ

What is the difference between Ornn and mcp-brasil?

Both Ornn and mcp-brasil are in the Dev Tooling category. Ornn has 20 stars, while mcp-brasil has 1.8k stars.

Which is better, Ornn or mcp-brasil?

The best choice depends on your use case. Choose Ornn if Building an agentic system where agents can discover and install new capabilities at runtime, and mcp-brasil if Legislative: Query AI bills processed in the Chamber, including authors..

Is Ornn free or open source?

Yes, Ornn is open source on GitHub (Apache-2.0).

Is mcp-brasil free or open source?

Yes, mcp-brasil is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to Ornn →Alternatives to mcp-brasil →Ornn details →mcp-brasil details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

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