Workplace and productivity · MCP server
Chronary: MCP server, setup and security
Chronary is an open-source MCP server that lets an AI agent manage calendar events and find meeting times based on availability. Its repository has 0 stars and its last commit is from October 17, 2026 and it is licensed under Apache-2.0.
What Chronary does
According to its repository: “Chronary calendar API for AI agents: events, availability, meeting-time search, scheduling proposals, availability rules, webhooks and iCal feeds.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Chronary is listed under Workplace and productivity, a category of 54 servers in the directory, where it ranks #51 by stars.
Installing and connecting Chronary
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx) - remote server (streamable-http): you connect to it by URL, with nothing to install locally
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for Chronary:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on April 16, 2026, the Chronary/chronary-mcp repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 1.5.2 (July 14, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Chronary is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (Apache-2.0)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Crosspaste desktop2.7K ★
- Google workspace MCP3.4K ★
- Workopia — Job Search314 ★
- Boss agent cli2.1K ★
- Teamwork MCP27 ★
- OfficeAgent.NET27 ★
Learn more
Frequently asked questions
How do I install Chronary?
Chronary is distributed as npm package (Node.js, usually started with npx) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Chronary/chronary-mcp.
Is Chronary free?
The code is published under the Apache-2.0 licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Chronary safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Chronary?
In the same category: Crosspaste desktop, Google workspace MCP, Workopia — Job Search, and Boss agent cli. Crosspaste desktop and Google workspace MCP score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score