Schema | of-mcp

of-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OF_MCP_DB_PATH`	No	Path to the SQLite database index (optional, defaults to ./data/of.db)	./data/of.db
`ATLASSIAN_EMAIL`	No	Atlassian email (optional, currently not needed as Confluence space is public)
`ATLASSIAN_API_TOKEN`	No	Atlassian API token (optional, currently not needed as Confluence space is public)

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
search_docsA	Search the Open Finance Brasil docs (BM25). Returns compact snippets. Args: query: Natural-language query in Portuguese or English. limit: Max number of hits (default 6, hard-capped at 20).
get_pageA	Return the full markdown of a page. Args: page_ref: Confluence page id, exact title, or substring of the title. section: Optional heading text. If provided, only the matching section (and its sub-sections) is returned.
list_sectionsA	List pages in the documentation tree. Args: parent_id: If omitted, returns root pages of the OF space. Otherwise returns immediate children of the given page id.
answer_questionA	Retrieve the most relevant chunks formatted as RAG context. The MCP itself does NOT call an LLM — it returns the raw context plus citations so the calling assistant can answer using its own context window (saving tokens vs. running a second model here).

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/ThiTheGoat/of-mcp'

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