Contexta is a memory MCP server that integrates keyword, vector, and graph search into a single query for AI assistants, allowing for efficient recall of information based on meaning and relationships.
From the registry: Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

Please install the `contexta-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Contexta account (OAuth)** — Sign in to Contexta via OAuth on first connection; no API key needed. (https://app.contexta.cc)
Canonical MCP server config (HTTP transport):
- url: `https://mcp.contexta.cc/mcp`
Note: Hosted MCP server using OAuth 2.0 dynamic client registration + PKCE. Client handles browser sign-in on first use.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.