Brain MCP vs Scrivener MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Brain MCP vs Scrivener MCP
In-depth architectural comparison of the Brain MCP and Scrivener MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Brain MCP
Knowledge & Memory · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Scrivener MCP
Knowledge & Memory · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Brain MCP if you need specialized Knowledge & Memory tools running via a local process. Choose Scrivener MCP if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
B
Choose Brain MCP when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Persona bundle: profile note, memory notes, facts captured with `brain_remember`, skills, project list and recent focus. The server instructions ask clients to call this first. Pass `topic` for a smaller bundle.
brain_context
The sections most relevant to a question, with source note ids and a coverage label, from the hybrid ranker, packed under a size budget. Says so explicitly when the vault does not record the answer.
brain_search
Hybrid search (keywords, meaning, reranker, spelling correction) with project, type, topic and date filters. Returns ranked notes with snippets.
brain_read
One note, or one section of it, with metadata, topics and resolved links.
brain_project
Briefing on a project: description, latest progress, decisions, recent changes and notes grouped by type. With no argument it lists projects.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Brain MCP is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Scrivener MCP belongs to Knowledge & Memory using local stdio subprocess. Select Brain MCP when you need capabilities focused on knowledge & memory and Scrivener MCP when you require tools for knowledge & memory.
Links out, backlinks grouped by project, and notes that share topics.
brain_recent
Notes modified in the last N days, newest first.
brain_capture
Writes a new note with graph-ready frontmatter into the capture folder.
brain_remember
Appends a fact to the memory file; it joins `brain_identity` straight away. Near duplicates are refused (token Jaccard ≥ 0.6 or containment ≥ 0.85), partial overlaps get a `Supersedes` line, and `force=true` overrides.
brain_write
Creates a note at a chosen path in a writable folder (`Notes/` and the capture folder by default), or replaces one with `overwrite=true`. A `hub` note groups every note whose `project` matches its title.
brain_edit
Changes part of a note in one of three ways: replace text that matches once, replace a section under a heading, or append. Keeps the file's line endings and bumps `modified`.
brain_move
Moves or renames a note within the writable folders. Never overwrites, and names any notes whose links stop resolving.
Your Obsidian vault as private, searchable memory for Claude, Cursor, Hermes and any MCP client
Connect Scrivener 3 writing projects to Claude and other AI assistants. 47 tools for document management, writing analysis, semantic search, character/plot memory, and content enhancement. Progressive skill loading, relationship engine with HMS triplets, and JS fallback for offline semantic search. npm i -g scrivener-mcp