MCPVault

includeSite

MCP tool from Octagon MCP Server by OctagonAI

(boolean, optional): also refresh the broader https://octagonai.co/llms.txt site index.

How to use it

includeSite is exposed by the Octagon MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the includeSite tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Octagon MCP Server

$npx -v
FULL OCTAGON MCP SERVER LISTING

Other tools in Octagon MCP Server (25)

cache

(boolean, optional): controls agent variant routing.

captured_from

(string, optional)

captured_to

(string, optional)

conversation

(string, optional): existing Octagon conversation ID to continue a prior octagon-agent thread. Omit this on the first turn.

cursor

(string, optional)

event_ticker

(string, required)

include_analysis

(boolean, optional; when true, requests analysis columns)

includeSnippets

(boolean, optional): include matched snippets in results.

limit

(number, optional): maximum entries to return.

maxChars

(number, optional): maximum Markdown characters to return.

newConversation

(boolean, optional): if true, starts a fresh Octagon thread for the active session/thread anchor. Recommended for the first turn of a brand new visible chat in top-layer hosts such as Claude Desktop.

octagon-agent

Orchestrates public and private market intelligence analysis.

octagon-deep-research-agent

Performs comprehensive multi-source deep research and synthesis.

octagon-docs-list

Lists live docs sections and pages from the Octagon docs corpus.

octagon-docs-read

Reads one docs page or section as Markdown by title, URL, path, or catalog id.

octagon-docs-refresh

Refreshes the in-memory docs catalog from the live LLM-friendly docs endpoints.

octagon-docs-search

, octagon-docs-read, octagon-docs-list, and octagon-docs-refresh

octagon-prediction-markets-agent

for updated research reports on each prediction markets

prediction_markets_history

for structured historical market data retrieval

preferCachedContent

(boolean, optional): use the indexed docs corpus when available.

prompt

(string, required): natural language research request.

query

(string, required): search query.

section

(string, optional): filter by docs section.

source

(docs, site, or all, optional): defaults to the docs corpus.

target

(string, required): docs title, URL, path, or catalog id.