Adaptive Recall is a hosted memory server for AI applications that stores, retrieves, updates, and manages long-term memories via MCP or REST API. It uses multi-strategy retrieval, cognitive scoring, and a knowledge graph to rank and organize stored memories.
From the registry: Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
Please install the `adaptive-recall` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Sign up for Adaptive Recall** — Create an Adaptive Recall account to obtain your server URL and API key. (https://adaptiverecall.com/auth.php?action=signup'}]}]},)
- **Get server URL** — Your Adaptive Recall instance URL is required to connect to the MCP endpoint. (https://adaptiverecall.com/auth.php?action=signup'}]}]},)
Canonical MCP server config (HTTP transport):
- url: `https://<your-server-url>/mcp`
- headers:
- `Authorization`: `Bearer <your-api-key>`
Note: Adaptive Recall is a hosted MCP server. The README documents MCP access via URL with a Bearer token. REST API endpoints are also available separately at https://<your-server-url>/v1/, but the MCP endpoint is /mcp.
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.