agentrecall-mcp 1.0.1

MCP server for AgentRecall — persistent memory for AI agents

AgentRecall MCP Server

MCP server that gives your AI agents persistent memory. Works with Claude Code, Hermes Agent, OpenClaw, and any MCP-compatible client.

Quick Start

# Install
pip install agentrecall-mcp

# Run (cloud mode)
AGENTRECALL_API_KEY=ark_your_key agentrecall-mcp

Setup by Client

Claude Code

claude mcp add --transport stdio --scope user \
  --env AGENTRECALL_API_KEY=ark_YOUR_KEY_HERE \
  --env AGENTRECALL_AGENT_ID=claude-code \
  agentrecall -- agentrecall-mcp

OpenClaw

openclaw mcp set agentrecall '{"command":"agentrecall-mcp","env":{"AGENTRECALL_API_KEY":"ark_YOUR_KEY_HERE","AGENTRECALL_AGENT_ID":"openclaw"}}'

Hermes Agent

Add to ~/.hermes/config.yaml:

mcp_servers:
  agentrecall:
    command: "agentrecall-mcp"
    env:
      AGENTRECALL_API_KEY: "ark_YOUR_KEY_HERE"
      AGENTRECALL_AGENT_ID: "hermes-agent"

Then restart: hermes gateway restart

Any MCP Client

The server uses stdio transport. Point your MCP client to:

AGENTRECALL_API_KEY=ark_YOUR_KEY agentrecall-mcp

Configuration

Environment Variable	Default	Description
AGENTRECALL_API_KEY	—	Your AgentRecall API key (required)
AGENTRECALL_API_URL	https://api.agentrecall.cloud/v1	API endpoint
AGENTRECALL_AGENT_ID	default	Default agent identifier

Available Tools

Tool	Description
store_memory	Store a memory (auto-classified by AI)
search_memories	Semantic search across memories
get_memory	Get a memory by ID
update_memory	Update memory content
delete_memory	Delete a memory
list_memories	List memories for an agent
count_memories	Count memories
traverse_graph	Traverse the knowledge graph
get_graph_stats	Get graph statistics
find_graph_path	Find path between two entities
get_graph_context	Get graph context for a query
list_agents	List all agents
create_agent	Create a new agent

License

MIT