MCP Servers
ChronulusAI/chronulus-mcp
MCP Server for Chronulus AI Forecasting and Prediction Agents
Our verdict
We have not reviewed ChronulusAI/chronulus-mcp yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About ChronulusAI/chronulus-mcp
Chronulus-mcp is a Model Context Protocol server that exposes Chronulus AI forecasting and prediction agents as callable tools. It allows developers to integrate probabilistic predictions into LLM workflows by defining prediction tasks and retrieving forecast results through a standardized MCP interface.
Best for
Developers building AI agents or assistants that need structured probabilistic forecasts
Use cases
- Add probabilistic forecasting to AI assistants for business or market predictions
- Automate scenario analysis by querying prediction agents from chat interfaces
- Build decision-support tools that combine LLM reasoning with structured forecasts
Notes
108 stars on GitHub. Last updated 2025-07-19. Licensed MIT.
Pros
- Provides a clean MCP interface for integrating specialized forecasting models
- Written in Python, easy to extend or embed in existing Python projects
- Active development with 108 GitHub stars indicates community interest
Cons
- Requires understanding of both MCP protocol and Chronulus AI API
- Limited to forecasting tasks; not a general-purpose tool
- Dependency on external Chronulus AI service for predictions
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
pip install chronulus-mcpTools exposed
pythondockeruvxnpx
Clients the listing names (not checked here)
Claude Desktop
Example client config
{
"mcpServers": {
"chronulus-agents": {
"command": "python",
"args": [
"-m",
"chronulus_mcp"
],
"env": {
"CHRONULUS_API_KEY": "<YOUR_CHRONULUS_API_KEY>"
}
}
}
}Install
Add ChronulusAI/chronulus-mcp to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What ChronulusAI/chronulus-mcp connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Health and security
Is ChronulusAI/chronulus-mcp looked after, and what do its setup files show
Security check static checks
97 out of 100
- Low The documented install uses chronulus-mcp, whose published metadata names no source repository. Check it is the right package before installing.
- Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
- Note Asks for CHRONULUS_API_KEY through environment variables.
- Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.
Tool permissions (1)
CHRONULUS_API_KEY, environment variable it asks for (a secret)
Alternatives
Alternatives to ChronulusAI/chronulus-mcp
| Record | Type | How we know | Checked |
|---|---|---|---|
| mindsdb/mindsdbThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare ChronulusAI/chronulus-mcp side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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