Schema | kagi-session2api-mcp

kagi-session2api-mcp

Describes the environment variables required to run the server.

Name	Required	Description
`KAGI_SESSION_TOKEN`	No	Single Kagi session token.
`KAGI_SESSION_CONFIG`	No	Path to TOML config file with session_tokens and optional settings.
`KAGI_SESSION_TOKENS`	No	Comma-separated list of Kagi session tokens for multiple tokens.

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": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
kagi_search_fetchA	Fetch web results based on one or more queries using Kagi Search. Use for general search and when the user explicitly tells you to 'fetch' results/information. Results are from all queries given. They are numbered continuously, so that a user may be able to refer to a result by a specific number.
kagi_summarizerA	Summarize content from a URL using the Kagi Summarizer. The Summarizer can summarize any document type (text webpage, video, audio, etc.) Note: This tool uses Kagi's internal summarizer endpoint accessed via session token. This is experimental and may break if Kagi changes their internal API.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/KSroido/Kagi-Session2API-MCP'

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