FRENES

Memory and knowledge · MCP server

Scrivener MCP: MCP server, setup and security

Scrivener MCP is an open-source MCP server published on GitHub that lets an AI agent manage Scrivener projects, analyze writing and remember characters and plots. Its repository has 68 stars and its last commit is from October 22, 2026 and it is licensed under AGPL-3.0.

Score
68/100
Adoption (stars) 18/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Scrivener MCP does

According to its repository: “Work with Scrivener 3 writing projects: document management, writing analysis, semantic search, character and plot memory, and content enhancement.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Scrivener MCP is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #92 by stars.

Topics declared by the repository: claude, scrivener, writing-tool, ai-writing, content-analysis, manuscript.

Installing and connecting Scrivener MCP

Distribution modes declared in the official MCP registry:

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

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Scrivener MCP. 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 September 3, 2025, the writerslogic/scrivener-mcp repository has 68 stars and 23 forks, with 6 open issues. It has more stars than 59% of the servers in the directory. It received changes this month. Version published in the registry: 0.12.0 (July 25, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KScrivener MCPScrivener MCP : 6868
GitHub stars of the most followed servers in the category (log scale); Scrivener MCP in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry

Frequently asked questions

How do I install Scrivener MCP?

Scrivener MCP 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 writerslogic/scrivener-mcp.

Is Scrivener MCP free?

The code is published under the AGPL-3.0 licence and can be used free of charge.

Is Scrivener MCP 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 writerslogic on GitHub. Check who maintains it before giving it access.

What are the alternatives to Scrivener MCP?

In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory 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