MCP server
Run Memory
com.botrecipe/memory
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Checkpoint and resume for AI agent runs, so crashed runs pick up where they left off.
Working at last checkVerified publisher: botrecipe.comAbout 608 tokens per request once connected5 tools
https://memory.cloudforbots.com/mcp
At a glance
- Type
- MCP server
- Publisher
- botrecipe.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 608 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http memory https://memory.cloudforbots.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.memory] url = "https://memory.cloudforbots.com/mcp"
Gemini CLI
{"mcpServers":{"memory":{"httpUrl":"https://memory.cloudforbots.com/mcp"}}}
Cursor
{"mcpServers":{"memory":{"url":"https://memory.cloudforbots.com/mcp"}}}
VS Code
{"servers":{"memory":{"type":"http","url":"https://memory.cloudforbots.com/mcp"}}}
Antigravity
agy mcp add memory https://memory.cloudforbots.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"memory","server_url":"https://memory.cloudforbots.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"memory","server_url":"https://memory.cloudforbots.com/mcp"}
Tools
list_checkpoints~93 tokens
List recent checkpoints (step, size, time) for one run or all runs on your key.resume~126 tokens
Call FIRST when a run starts. If a checkpoint exists for run_id (Pro), returns the last step, state and done list: continue from there and skip finished work. If none, start fresh.save_checkpoint~254 tokens
Call after each completed step with the state you would need to continue (cursor, ids done, partial results; up to 256 KB JSON). Pro saves it (last 20 per run, kept 30 days). Free watch-only saves nothing and returns would_save: exactly what would have been stored. Never put passwords or API keys inweekly_report~67 tokens
Draft a plain-English report of the last 7 days: runs, checkpoints saved (Pro) or that would have been saved (free). Read-only; sends nothing.
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Resume the work, not the conversation. A checkpoint by one model is resumable by another.
Badge for your README
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