Schema | Semantic Search MCP

Semantic Search MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`CONTENT_PATH`	Yes	Path to your markdown directory (e.g., Obsidian vault path). Multiple directories can be specified by separating paths with commas.

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
search_relatedA	Search for notes semantically related to the query text.
check_duplicatesA	Find notes that are potential duplicates of the given file.
get_contentB	Fetch the content of a file from the indexed vault.

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/bborbe/semantic-search'

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