Schema | usecortex-mcp

usecortex-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`API_KEY`	Yes	The API key generated from the UseCortex dashboard (Settings → API Keys). This is used in the Authorization header as a Bearer token.

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 }

Functions exposed to the LLM to take actions

Name	Description
query_knowledgeB	Search your knowledge base using AI. Ask a natural language question and get an answer based on your stored knowledge.
list_topicsB	List all knowledge topics in your base.
add_knowledgeC	Write new knowledge to your base. Store facts, decisions, patterns, or any information your AI should remember.
get_topicC	Retrieve all knowledge entries for a specific topic.
search_knowledgeA	Search knowledge entries by keyword (text match). Use query_knowledge for AI-powered answers.
capture_sessionA	Capture an AI session summary into persistent memory. Store what you learned, decided, or built during this session. Requires Memory plan.
recall_memoryB	Search across all captured session memories using AI. Ask what you worked on, what decisions were made, or what patterns were found. Requires Memory plan.
list_sessionsB	List recent captured session memories. Requires Memory plan.

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/usecortex-official/usecortex-mcp'

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