MCP server

Mitosislabs Mitosis Official

ai.mitosislabs/mitosis

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Mitosis agent-memory platform: pricing, docs search, platform status, agent skills. No auth.

Working at last checkVerified publisher: mitosislabs.aiAbout 4,503 tokens per request once connected20 tools

Website Source

https://mitosislabs.ai/api/mcp

At a glance

Type: MCP server
Publisher: mitosislabs.ai (verified by the MCP Registry)
Status: Working at last check
Tools: 20
Token cost: About 4,503 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

Add to Cursor Add to VS Code VS Code Insiders

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 mitosis https://mitosislabs.ai/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mitosis]
url = "https://mitosislabs.ai/api/mcp"

Gemini CLI

{"mcpServers":{"mitosis":{"httpUrl":"https://mitosislabs.ai/api/mcp"}}}

Cursor

{"mcpServers":{"mitosis":{"url":"https://mitosislabs.ai/api/mcp"}}}

VS Code

{"servers":{"mitosis":{"type":"http","url":"https://mitosislabs.ai/api/mcp"}}}

Antigravity

agy mcp add mitosis https://mitosislabs.ai/api/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":"mitosis","server_url":"https://mitosislabs.ai/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mitosis","server_url":"https://mitosislabs.ai/api/mcp"}

Tools

cortex_accept_goal ~140 tokens
Saves a settled goal into the memory's goal library, along with the recipe it was designed with, and returns its goal id. Still extracts nothing: cortex_choose_enrichment with choice=describe_goal and that id in goal_ids is what runs it on a source.
cortex_answer_goal ~212 tokens
Records the user's answer to the questions from cortex_create_goal, keyed by question id. `{"*":"skip"}` is the answer for a user who says to go ahead with whatever Mitosis thinks best. This is the last round: the reply carries answer_required=false and no further questions, because Mitosis asks abo
cortex_ask ~503 tokens
Searches the user's real, private memory — the email, calendar, files, contacts and notes they have connected, plus facts agents have saved — fusing vector, full-text and graph retrieval with provenance. This is their current data on their work, schedule, contacts, projects, documents, decisions and
cortex_choose_enrichment ~461 tokens
Record what the user wants Mitosis to pull out of a data source. A newly saved source WAITS: it is stored and searchable, but nothing is extracted from it until the user answers. When any save/ingest result carries `choice.choice_required: true`, ask the user its `question` and present EXACTLY two o
cortex_connect_link ~317 tokens
The connect link for one memory source, by id — email and calendar (google-workspace), WhatsApp chats, GitHub, Notion, or file uploads. Returns the canonical mitosislabs.ai dashboard page where the user can connect that source to their memory, as a ready markdown link. Source ids appear in `unconnec
cortex_connectable_sources ~156 tokens
Which sources this memory could connect but hasn't yet — each with what it would make answerable, routing tags, and a connect link for the user. This is what explains a cortex_ask result that came back empty or off-topic: the source holding that answer is listed here rather than connected. Data conn
cortex_create_goal ~307 tokens
Designs a goal from the user's own words: what Mitosis should pull out of their data, and how the things in it connect. Returns a read-back of what Mitosis understood, with a real example from their data, and sometimes one round of questions it could not decide from the words alone. `answer_required
cortex_ingest ~340 tokens
Push a document into this memory so its text becomes searchable. Pass the file text as content with a filename, or several items in files (each with name and content). Default feed is local_files. The result may carry choice.choice_required: when that is true the source is stored and searchable but
cortex_ingest_conversation ~407 tokens
Ingest a conversation — the user’s messages and your full answers, verbatim — into the user’s permanent memory, where it becomes searchable and appears in their knowledge graph. Use it after an exchange where you gave a substantive answer: ingest that exchange (the user’s message + your complete rep
cortex_list_goals ~123 tokens
The saved goals this office already asked Mitosis to pull out of data. Call this before choosing enrichment on a new source so you can offer those goals (the user can pick several) instead of inventing a new one. Last-used goals are first. Then pass the chosen ids as goal_ids to cortex_choose_enrich
cortex_manifest ~154 tokens
A table of contents for this user's memory: which sources are connected (email, calendar, docs, …), how many items each holds, and the top people, topics and projects. It is an index rather than an answer — it contains no message bodies, no dates and no content, so it establishes that a source exist
cortex_recall ~137 tokens
Semantic-only vector search over the memory, returning source excerpts. Prefer cortex_ask, which also uses full-text and graph expansion; reach for this when you specifically want nearest-neighbour matches on meaning.
cortex_remember ~375 tokens
Persist a fact, decision or conclusion into the memory, attributed to you. It becomes retrievable via cortex_ask immediately, in this session and every future one, from any agent the user has connected. Provenance: pass source_universal_ids from a previous cortex_ask so the fact links to its evidenc
cortex_status ~111 tokens
Memory health: per-source ingest and embed counts plus last sync times. Use when you need to know whether the memory is fresh or still ingesting, or when a search came back empty and you need to tell the user whether that means "no data yet" or "nothing matched".
fetch ~123 tokens
Retrieve the full contents of a single item from the user’s memory by its id. Ids come from `search` results. Use this when a search result looks relevant and you need the whole record rather than the excerpt.
get_platform_status ~108 tokens
Get the operational status of the Mitosis website, API, and MCP server. Use before reporting an outage or debugging connectivity.
get_pricing ~109 tokens
Get current Mitosis plans, prices, credit allowances, how usage is charged, and add-ons. Use when comparing costs or recommending a plan.
list_skills ~107 tokens
List the agent skills Mitosis publishes (backup create/list/restore/health/diff/schedule/subscribe) with links to each SKILL.md manifest.
search ~181 tokens
Search the user's own private memory — their email, calendar, documents, contacts, chat history and every fact agents have remembered — and return ranked matches with citation ids and links. This is their current data on their work, schedule, contacts, projects, documents, decisions and history, whi
search_docs ~132 tokens
Keyword-search Mitosis documentation and product pages. Returns ranked results with URLs. Use to answer any "how do I…" question about Mitosis.

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