Schema | Docalyze

Docalyze

Describes the environment variables required to run the server.

Name	Required	Description	Default
`DOCUMENTS_ROOT`	No	Root directory for documents. Defaults to the directory containing the server script.

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
list_documentsC	List documents under the configured root directory.
document_infoB	Return metadata about a specific document.
read_documentC	Read a portion of a document (PDF, Excel, CSV, JSON, TXT, DOCX). IMPORTANT: When presenting results to users, ALWAYS mention: The folder/directory path (e.g., 'Well 1/Well Test/') The complete document name This helps users understand which well and document type is being referenced.
visual_evaluate_documentA	Extract visual content from a document (PDF pages or images) and return it as inline images so the host AI can analyse charts, tables, and diagrams directly. Optionally run local Tesseract OCR as well. Returns a list of content blocks (text and/or base64 images) that the calling AI model can interpret.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/LunarPerovskite/docalyze-mcp-server'

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