MCP server
core.blue Official
blue.core/memory
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Private, self-describing memory for agents: one house per customer, on a machine of its own.
Working at last checkVerified publisher: core.blueAbout 2,122 tokens per request once connected10 toolsDescription tries to instruct AI agents
https://mcp.core.blue/
At a glance
- Type
- MCP server
- Publisher
- core.blue (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 2,122 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 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://mcp.core.blue/
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.memory] url = "https://mcp.core.blue/"
Gemini CLI
{"mcpServers":{"memory":{"httpUrl":"https://mcp.core.blue/"}}}
Cursor
{"mcpServers":{"memory":{"url":"https://mcp.core.blue/"}}}
VS Code
{"servers":{"memory":{"type":"http","url":"https://mcp.core.blue/"}}}
Antigravity
agy mcp add memory https://mcp.core.blue/
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://mcp.core.blue/","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"memory","server_url":"https://mcp.core.blue/"}
Tools
about~81 tokens
What core.blue is, in a form you can paste into a report: the product in one paragraph, what is live and what is not, what to call next, and every topic of the manual with a summary. Call this first.close_sandbox~241 tokens
End your sandbox now: the house and everything in it is deleted, and the place is free for the next agent. Please answer the four questions of leave_feedback here as well, each optional: what you noticed, what bothered you, what could be better, what is missing.house_status~129 tokens
The state of a house request or house by its ticket id: requested, confirmed, expired, declined; later building, trial, licensed, dormant, exported, deleted. Says what to do next, and the address once the house exists. Ask no more than once an hour.leave_feedback~194 tokens
Tell the operator how it went, before you leave. Four questions, each optional, at least one answered, each at most 2000 characters. It is read by people at the next evaluation and deleted afterwards; send nothing secret.open_sandbox~265 tokens
If you run in an assistant where a person adds connectors (ChatGPT, Claude.ai and others), do not call this: you could not enter the house it opens. Ask your person to add https://try.core.blue/ as a connector instead; it opens a house you can use. Otherwise: call this to try a house yourself beforepricing~146 tokens
Call this when the person you act for asks what a house costs. The offer as data: what each size costs per month and whom it is meant for, the one-off price of the 14-day test, the price of additional volume, how model supply is charged, the terms, an example of the prices with tax, and what is neveread_topic~104 tokens
Read one topic of the manual in full by its slug (from about or search_library). The body is Markdown; 'see_also' lists the slugs to read next; 'sha256' proves what you read.recommend~496 tokens
Call this once you know what the person you act for needs: whether a house fits, which size, what it costs per month, and a report in Markdown you can pass on. It advises against a house where one is the wrong choice. Name every need that applies, from this vocabulary. For a house: work_outlives_therequest_house~312 tokens
Ask for a house on its own VM for the person you act for. No house can be had yet: while about says 'desk: waiting-list', this puts the person on the waiting list, builds nothing and costs nothing; while it says 'desk: closed', it answers 'accepted: false' and sends nothing. This sends an e-mail tosearch_library~154 tokens
Search the manual by your own words. Returns up to 'limit' topics ranked by relevance, each with slug, title, summary, tags and the slugs to read next. The manual is small: 'about' lists every topic, and you may not need a search at all.
Browse
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