@brainfeather/mcp

@brainfeather/mcp

Provides long-term memory for AI coding agents, enabling facts like stack, conventions, and decisions to be recorded once and recalled across sessions.

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@brainfeather/mcp

Long-term memory for AI coding agents. Facts recorded once, recalled by every client.

Your agent starts every session from zero. You re-explain your stack, your conventions, the decision you made last week. Brainfeather is the layer that remembers, so it does not have to ask again.

Install

Add to your MCP client config:

{
  "mcpServers": {
    "brainfeather": {
      "command": "npx",
      "args": ["-y", "@brainfeather/mcp"],
      "env": {
        "BRAINFEATHER_API_KEY": "bf_live_your_key_here"
      }
    }
  }
}

Generate a key at brainfeather.com/settings.

Config file locations:

Client Path
Claude Code ~/.claude/settings.json
Cursor ~/.cursor/mcp.json
Other see your client's MCP docs

Environment

Variable Required Default
BRAINFEATHER_API_KEY yes —
BRAINFEATHER_API_URL no https://brainfeather.com/api/v1

The key is the only credential. It maps to one account, and revoking it from the dashboard takes effect on the next request — no redeploy, no shared secret.

Prefer to keep keys out of your editor config? Put them in ~/.brainfeather/config.json:

{ "apiKey": "bf_live_your_key_here" }

Environment variables take precedence.

Tools

Tool When the agent uses it
get_context Opening a session — loads stack, decisions, conventions
search_memory Before choosing a library or pattern
save_memory The moment a durable fact appears
forget_memory Something was recorded in error
list_entities Which tools and concepts this project involves
traverse_graph What else a change to one tool touches

Six tools, not sixteen. Every tool description sits in the model's context on every turn, so the set is deliberately small — and each description states when to call it, because the failure mode for a memory server is not a broken tool, it is an agent that never invokes one.

What gets stored

save_memory is safe to call freely. The server decides what survives:

Filtered out — greetings, acknowledgements, thinking-out-loud, transient state, one-off commands. "Good morning" and "let me check that" never reach storage.

Deduplicated — exact repeats, and near-repeats by token overlap. Saving the same fact twice reports Already known and changes nothing.

Superseded — a fact that contradicts an existing one retracts it rather than sitting beside it. Later reads return only what still holds, so a decision you reversed in June does not resurface in August.

Linked — tools, languages and frameworks are extracted automatically and connected to the memories that mention them. No manual tagging.

The reply tells you which happened: Saved …, Already known …, or Not stored — <why>.

Responses are terse by design

Everything this server returns lands in a context window, so output is plain lines rather than JSON. Three memories serialised as pretty-printed JSON measured 713 characters; the same rows as lines measured 131.

That is a character count, not a token count — the token ratio depends on the tokenizer, and has not been measured.

Requirements

Node 18 or newer (uses global fetch).

Links

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