The Agently MCP Server Is Live: Give Any AI Tool Your Company Brain

The Agently MCP Server Is Live: Give Any AI Tool Your Company Brain

Agently's MCP server is live. Connect Claude, ChatGPT, Cursor, or any MCP client to your company brain — a temporal knowledge graph your whole AI stack shares.

The Agently MCP server is live. Any AI tool that speaks the Model Context Protocol — Claude Code, Claude Desktop, claude.ai, ChatGPT, Cursor, VS Code — can now read from and write to your company brain. One URL, one credential, and the AI tools you already use stop guessing about your business and start answering from it.

https://api.agently.dev/mcp

Key takeaway: Every AI tool you use keeps its own memory, which means none of them really know your company. The Agently MCP server gives them all one shared, temporal knowledge graph to read from — so the context you build up in Agently follows you into every agent you run.

The problem: every AI tool has its own amnesia

If you use more than one AI tool — and almost everyone does now — you've felt this. You explain your product to ChatGPT. Then you explain it again to Claude. Then your Cursor session starts from zero on the same question. Each tool accumulates its own partial, private picture of your company, and none of them share it. (We wrote about this pattern in stop repeating yourself to AI.)

Per-session memory features don't fix this. ChatGPT's memory belongs to ChatGPT. Claude's memory belongs to Claude. Neither belongs to your team — a teammate asking the same question gets none of your context, and switching tools means starting over.

The fix isn't better memory inside each tool. It's one brain outside all of them.

What the server exposes

The Agently Brain is a temporal knowledge graph built continuously from everything your workspace connects — uploaded docs, Slack, Gmail, HubSpot, Linear, GitHub, and 25+ other sources. The MCP server exposes it through six tools:

ToolWhat it does
searchHybrid semantic + keyword search — ranked facts with temporal validity and entity references
find_entityResolve a name ("Acme", "Jane") to graph entities with UUIDs and summaries
get_neighborsWalk one hop from an entity — every fact touching it, plus connected entities
get_schemaBrain overview: counts, most-connected entities, source kinds, data recency
recent_episodesNewest ingested content, with previews
rememberStore a durable fact in the brain (write-scoped credentials only)

Two things make this different from pointing your agent at a folder of documents or a vector database:

  • It's a graph. Search results carry the entities on every fact, so an agent can pivot from "found a fact about Acme" to "show me everything connected to Acme" with get_neighbors — no re-searching with rephrased queries.

  • It's temporal. Facts have validity windows. When your pricing changes, the old price isn't deleted — it's marked superseded. Agents can tell current truth from history, which is exactly what a plain document index can't do.

Connecting takes about a minute

Claude Code:

claude mcp add --transport http agently-brain https://api.agently.dev/mcp \
  --header "Authorization: Bearer agently_sk_..."

Mint the key in Agently under Settings → API keys. Clients with MCP OAuth support — Claude Desktop connectors, claude.ai, ChatGPT — don't need a key at all: they discover Agently's OAuth flow automatically and walk you through a consent screen. Full setup for every client is in the MCP server docs.

The server is also listed on the official MCP registry as dev.agently/brain, so it shows up in registry-aware clients' server galleries without any manual config.

What this looks like in practice

Your coding agent knows the business. A Claude Code session can ask the brain "what did we promise Acme in the last contract?" before writing the feature — instead of you pasting context in.

Your research stays shared. An analysis one agent stores with remember is available to every other agent and teammate the moment it's written. That's the shared context that per-tool memory can't give you.

Your support answers stay current. An agent answering from the brain cites facts with validity windows — it won't quote last year's pricing page, because the graph knows that fact was superseded.

Security model

Every credential is pinned to exactly one workspace, server-side. Keys are read-only by default — remember requires a key with writes explicitly enabled. The OAuth flow is OAuth 2.1 with PKCE and dynamic client registration, the current MCP auth standard, and you can revoke any key or connected client from Settings at any moment. Details in MCP Authentication & API.

Frequently asked questions

What is the Agently MCP server?
It's a hosted MCP server at https://api.agently.dev/mcp that exposes your Agently company brain — a temporal knowledge graph of your business — to any MCP-capable AI client, including Claude, ChatGPT, Cursor, and VS Code.
Which AI tools can connect to it?
Any client that supports remote MCP servers over HTTP: Claude Code, Claude Desktop, claude.ai, ChatGPT, Cursor, VS Code with Copilot, and others. Clients with MCP OAuth support connect without an API key.
Is it read-only?
By default, yes. API keys are read-only unless you enable writes, and only write-scoped credentials can use the remember tool to store new facts.
How is this different from ChatGPT or Claude memory?
Built-in memory is per-user and per-tool — it doesn't transfer between tools or teammates. The Agently brain is shared across your whole workspace and every connected client, and its facts carry temporal validity so agents can distinguish current truth from history.
Do I need to be an Agently customer to use it?
Yes — the server exposes your workspace's brain, so you need an Agently workspace with knowledge in it. Any workspace can connect MCP clients; remember writes count against your plan's Brain ingest quota. Your brain shouldn't be locked inside one tool — ours isn't even locked inside Agently. Start building your company brain, connect your tools, and bring it with you to every AI you use.