Skip to main content
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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
read_documentA

Read a Markdown or DOCX document as structured blocks.

Returns headings, paragraphs, list items and tables with stable IDs (h-0, p-1, li-2, tbl-0). Prefer section_id= over reading whole documents. Pass doc_hash from a previous call to detect external modifications. Lists unmodeled_features so you know what the model cannot represent (images, footnotes, ...).

get_outlineA

Get the heading outline of a document.

Returns flat heading entries (id, level, title, path) plus a nested tree. Use heading ids to read sections or anchor edits.

find_textA

Find exact occurrences of text inside document blocks.

Returns every match as (element_id, start, end) character offsets plus a snippet - feed these offsets directly into propose_replace_text. Tables are skipped (cell-level search not supported).

get_commentsB

List comments anchored in the document (native DOCX comments).

Each comment carries id, author, body, element_id and quoted range. For Markdown (which has no comment concept) the list is empty.

propose_replace_textA

Stage replacing character range [start:end) inside one block.

Offsets come from find_text or read_document. The staged change includes before/after previews; nothing is written until apply_changes. Table cells are not supported (delete/re-insert the table instead).

propose_insert_blockB

Stage inserting a new block before or after an existing element.

position: 'before' | 'after' (relative to anchor_id). kind: 'paragraph' | 'heading' (set level 1-6) | 'list_item'. This single tool covers insert-before, insert-after and append use cases (anchor on the last element and position='after').

propose_delete_blockB

Stage deleting one whole block (heading, paragraph, item or table).

propose_add_commentB

Stage adding a comment anchored to an element.

DOCX: creates a real Word comment (visible in Word/Google Docs). Markdown: stored in the session only - surfaced by get_comments until the process exits, because Markdown has no native comment storage; the tool result states this limitation explicitly. quote must appear inside the anchor element.

get_changesA

Review all staged changes with diffs before committing.

Replace changes carry unified diffs; inserts/deletes/comments show their content. Apply selectively with apply_changes(change_ids=[...]).

discard_changesB

Drop staged changes (all of them, or specific change ids).

apply_changesA

Commit staged changes to the file (all, or selected change ids).

Writes atomically, re-reads the file and returns the new doc_hash plus warnings about unmodeled features present in the document.

export_documentA

Convert the document to another supported format ('markdown'|'docx').

Conversion goes through the normalized model: markdown->docx builds a fresh Word file (headings, lists, tables, comments); docx->markdown serializes parsed blocks back to Markdown. Unsupported pairs raise a clear export_error listing supported conversions.

list_backendsA

List registered format backends and their file extensions.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xyyyang97/doc-agent-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server