io.github.WiliamRosa/cosmos-semantic

cosmos-semantic

Governed metrics, business rules and a glossary for AI agents, with evidence on every answer.

1 GitHub PyPI

No known CVEs

Apache-2.0 license

Actively maintained

Last commit 1d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 22h ago

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io.github.WiliamRosa/cosmos-semantic is an MCP server that governed metrics, business rules and a glossary for AI agents, with evidence on every answer. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-wiliamrosa-cosmos-semantic": {
      "args": [
        "cosmos-semantic"
      ],
      "command": "uvx"
    }
  }
}

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What io.github.WiliamRosa/cosmos-semantic does

Governed metrics, business rules and a glossary for AI agents, with evidence on every answer.

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

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Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

62/100across 5 weighted dimensions

How we score →

0255075100

−38

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked cosmos-semantic against OSV.dev.

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Frequently Asked Questions

Is io.github.WiliamRosa/cosmos-semantic safe to use?: io.github.WiliamRosa/cosmos-semantic has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access. Licensed under Apache-2.0.
How do I install io.github.WiliamRosa/cosmos-semantic?: io.github.WiliamRosa/cosmos-semantic supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.WiliamRosa/cosmos-semantic?: io.github.WiliamRosa/cosmos-semantic is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.WiliamRosa/cosmos-semantic actively maintained?: io.github.WiliamRosa/cosmos-semantic is actively maintained - last commit was 1 day ago. It has 1 GitHub stars.

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Community

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Cosmos Semantic

An open-source semantic layer with an ontology at its core, so AI agents and apps get the same number on every database, with the proof in every answer.

The read-only console: metric health, a business process as a graph colored by health, and a metric that diverges from a legacy report

AI agents that write SQL over raw tables return numbers that look right and that nobody can explain: "revenue" has three definitions, "active customer" means 60 days to one team and 90 to another. Cosmos Semantic defines metrics, business rules and concepts once, serves them to agents over MCP instead of letting them guess SQL, and attaches evidence to every answer.


Multi-database	One model, the same number on Databricks, Snowflake, Oracle, SQL Server, Postgres, MySQL, MariaDB and DuckDB, checked by the test suite on every change
Ontology	A bilingual business glossary (SKOS), versioned business rules with owners and tests, and a knowledge graph of teams, systems and processes
Built for AI agents	A native MCP server: agents find the concept, ask for a governed metric and get deterministic SQL; personal data never reaches them
Verifiable numbers	Every answer carries the expanded formula, rules, row filters, reference date and hashes; `cosmos replay` tells whether a number changed and why
Reconciliation	Compares a governed metric with the legacy SQL a team already uses and names the likely cause of each divergence
Open, no lock-in	Apache 2.0, its own engine, and import from dbt, Power BI, Cube and Apache Ossie

Multi-database

One model, the same number on Databricks, Snowflake, Oracle, SQL Server, Postgres, MySQL, MariaDB and DuckDB, checked by the test suite on every change

Ontology

A bilingual business glossary (SKOS), versioned business rules with owners and tests, and a knowledge graph of teams, systems and processes

Built for AI agents

A native MCP server: agents find the concept, ask for a governed metric and get deterministic SQL; personal data never reaches them

Verifiable numbers

Every answer carries the expanded formula, rules, row filters, reference date and hashes; cosmos replay tells whether a number changed and why

Reconciliation

Compares a governed metric with the legacy SQL a team already uses and names the likely cause of each divergence

Open, no lock-in

Apache 2.0, its own engine, and import from dbt, Power BI, Cube and Apache Ossie

The YAML format uses the dbt Semantic Layer vocabulary and ships a JSON Schema; Cube and dbt are import sources and export targets, not dependencies. The core is Apache 2.0 within an open-core model (ADR 0005).

Status: phases 0 to 3 are implemented: the engine, the ontology (glossary and business rules), the REST API, the MCP server, OIDC identity, verifiable numbers (evidence, replay, reconciliation, impact, bootstrap), business context (rule versions, usage and cost, knowledge graph, Power BI import, AI-assisted discovery, the retail pack, SKOS export) and the read-only console. See the [roadmap](https://github.com/WiliamRosa/cosmos

Frequently Asked Questions

Is io.github.WiliamRosa/cosmos-semantic safe to use?

io.github.WiliamRosa/cosmos-semantic has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access. Licensed under Apache-2.0.

How do I install io.github.WiliamRosa/cosmos-semantic?

io.github.WiliamRosa/cosmos-semantic supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.WiliamRosa/cosmos-semantic?

io.github.WiliamRosa/cosmos-semantic is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.WiliamRosa/cosmos-semantic actively maintained?

io.github.WiliamRosa/cosmos-semantic is actively maintained - last commit was 1 day ago. It has 1 GitHub stars.

Cosmos Semantic

An open-source semantic layer with an ontology at its core, so AI agents and apps get the same number on every database, with the proof in every answer.


Multi-database	One model, the same number on Databricks, Snowflake, Oracle, SQL Server, Postgres, MySQL, MariaDB and DuckDB, checked by the test suite on every change
Ontology	A bilingual business glossary (SKOS), versioned business rules with owners and tests, and a knowledge graph of teams, systems and processes
Built for AI agents	A native MCP server: agents find the concept, ask for a governed metric and get deterministic SQL; personal data never reaches them
Verifiable numbers	Every answer carries the expanded formula, rules, row filters, reference date and hashes; `cosmos replay` tells whether a number changed and why
Reconciliation	Compares a governed metric with the legacy SQL a team already uses and names the likely cause of each divergence
Open, no lock-in	Apache 2.0, its own engine, and import from dbt, Power BI, Cube and Apache Ossie

Multi-database

One model, the same number on Databricks, Snowflake, Oracle, SQL Server, Postgres, MySQL, MariaDB and DuckDB, checked by the test suite on every change

Ontology

A bilingual business glossary (SKOS), versioned business rules with owners and tests, and a knowledge graph of teams, systems and processes

Built for AI agents

A native MCP server: agents find the concept, ask for a governed metric and get deterministic SQL; personal data never reaches them

Verifiable numbers

Every answer carries the expanded formula, rules, row filters, reference date and hashes; cosmos replay tells whether a number changed and why

Reconciliation

Compares a governed metric with the legacy SQL a team already uses and names the likely cause of each divergence

Open, no lock-in

Apache 2.0, its own engine, and import from dbt, Power BI, Cube and Apache Ossie