FRENES

Workplace and productivity · MCP server

Mdshare: MCP server, setup and security

Mdshare is an open-source MCP server that lets an AI agent share Markdown documents and resolve review comments with version history. Its repository has 8 stars and its last commit is from October 23, 2026 and it is licensed under MIT.

Score
59/100
Adoption (stars) 9/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Mdshare does

According to its repository: “Markdown collaboration: share docs via public links with permission levels, inline comments, real-time sync and version history, and resolve review threads.”

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. Mdshare is listed under Workplace and productivity, a category of 54 servers in the directory, where it ranks #36 by stars.

Installing and connecting Mdshare

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

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.

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.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Mdshare. That does not replace reading the code.

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 1, 2026, the urbanmorph/mdshare repository has 8 stars and 0 forks, with 0 open issues. It has more stars than 22% of the servers in the directory. It received changes this month. Version published in the registry: 1.5.0 (October 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.

Google workspace MCPGoogle workspace MCP : 3.4K3.4KCrosspaste desktopCrosspaste desktop : 2.7K2.7KBoss agent cliBoss agent cli : 2.1K2.1KMCP gsuiteMCP gsuite : 491491Workopia — Job SearchWorkopia — Job Search : 314314Autopilot jobhuntAutopilot jobhunt : 217217Zero SlopZero Slop : 147147Caldav MCP (dominik1001)Caldav MCP (dominik1001) : 105105MdshareMdshare : 88
GitHub stars of the most followed servers in the category (log scale); Mdshare in orange. Checked October 25, 2026.

Verdict

Mdshare is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Limitations

  • Few visible users

Frequently asked questions

How do I install Mdshare?

Mdshare is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of urbanmorph/mdshare.

Is Mdshare free?

The code is published under the MIT licence and can be used free of charge.

Is Mdshare safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by urbanmorph on GitHub. Check who maintains it before giving it access.

What are the alternatives to Mdshare?

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