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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
open_projectC

Open a Scrivener project (.scriv folder)

get_structureC

Get the hierarchical structure of the project binder

read_documentB

Read the content of a document. Optionally includes synopsis (index card text).

write_documentC

Write content to an existing document

create_documentC

Create a new document or folder in the project

delete_documentC

Move a document to trash

move_documentC

Move a document to a different folder

rename_documentC

Rename a document

search_contentC

Search for content across all documents

read_synopsisC

Read the synopsis (index card text) of a document

write_synopsisC

Write or update the synopsis (index card text) of a document

get_compile_orderB

Get the list of documents in compile order from the Draft/Manuscript folder. Useful for seeing what will be included in a compile.

compile_manuscriptB

Compile the manuscript to a PDF file. Only includes documents marked 'Include in Compile'.

word_countC

Get word count for a specific document or the entire manuscript

append_to_documentA

Append content to the end of an existing document without replacing existing content

set_include_in_compileC

Set whether a document should be included in compile

read_notesC

Read the notes (inspector notes) for a document

write_notesC

Write or update the notes (inspector notes) for a document

batch_readA

Read multiple documents at once. More efficient than multiple read_document calls.

search_with_contextC

Search for a term and return matches with surrounding paragraphs for context

find_all_mentionsB

Find all sentences mentioning a term across the manuscript. Useful for checking character/place consistency.

compare_descriptionsC

Find all descriptive sentences for a term (sentences with 'was', 'had', 'looked', etc.). Helps identify inconsistent descriptions.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 22 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no significant overlap. For example, read_document, read_synopsis, and read_notes target different document attributes, while search_content and find_all_mentions serve distinct search functions. The descriptions effectively differentiate tools, preventing misselection.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern throughout, such as create_document, delete_document, and move_document. All names use snake_case, and verbs like read, write, search, and get are applied predictably across related tools, making the set highly readable and uniform.

Tool Count4/5

With 22 tools, the count is slightly high but reasonable for a comprehensive writing assistant server covering document management, search, compilation, and metadata operations. It avoids bloat by ensuring each tool serves a specific function, though it borders on the heavy side for typical MCP servers.

Completeness5/5

The tool set provides complete CRUD/lifecycle coverage for Scrivener projects, including create, read, update, delete, move, rename, compile, and search operations. It also handles specialized writing tasks like synopsis and notes management, with no obvious gaps that would hinder agent workflows in this domain.