MCP server

Moltline Recall

com.moltlinestudio/recall

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

A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.

Website Source

At a glance

Type

MCP server

Publisher

moltlinestudio.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 2,637 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 CursorAdd to VS CodeVS 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 recall https://mcp.moltlinestudio.com/recall

Claude Desktop

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

Codex (config.toml)

[mcp_servers.recall]
url = "https://mcp.moltlinestudio.com/recall"

Gemini CLI

{"mcpServers":{"recall":{"httpUrl":"https://mcp.moltlinestudio.com/recall"}}}

Cursor

{"mcpServers":{"recall":{"url":"https://mcp.moltlinestudio.com/recall"}}}

VS Code

{"servers":{"recall":{"type":"http","url":"https://mcp.moltlinestudio.com/recall"}}}

Antigravity

agy mcp add recall https://mcp.moltlinestudio.com/recall

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":"recall","server_url":"https://mcp.moltlinestudio.com/recall","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"recall","server_url":"https://mcp.moltlinestudio.com/recall"}

Tools

• graph_at_time ~428 tokens
  See the memory as it stood on a given day, optionally faded by age. PREMIUM (license). Relations carrying since and until are filtered to those in force on the date; with a half-life, confidence decays exponentially with age so a two-year-old belief does not weigh the same as last week's. Typical i
• graph_compact ~437 tokens
  Shrink a memory to the part that still earns its place. PREMIUM (license). Ranks entities by how connected they are and how much is recorded about them, keeps anything you name outright, and drops the rest along with the relations that pointed at them. Typical input {"graph": {...}, "max_entities":
• graph_diff ~337 tokens
  Say exactly what changed between two versions of a memory. FREE. The audit trail a database gives you for free, without the database. Typical input {"before": {...}, "after": {...}} returns {"entities_added": ["Beta Ltd"], "entities_removed": [], "observations_added": {"Acme Corp": ["renewed in Mar
• graph_lint ~334 tokens
  Find the breaks a memory graph accumulates as it grows. FREE. Relations pointing at entities that do not exist, entities nothing points at, near-duplicate names, and observations that contradict each other on the same entity. Typical input {"graph": {...}} returns {"ok": false, "dangling_relations"
• graph_search ~511 tokens
  Find what the graph knows about something, plus its neighbourhood. FREE. Scores entities by how many query words appear in the name, type and observations, then pulls in whatever is within the requested number of hops - because the useful answer to "what do we know about Acme" is usually Acme plus
• graph_upsert ~590 tokens
  Fold new facts into a memory graph and get the whole graph back. FREE. Idempotent by construction: re-adding the same entity, observation or relation changes nothing, so an agent that replays its own history does not end up with a graph full of duplicates. Typical input {"graph": {"entities": [], "

Browse

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