INDIVIDUAL MCP TOOL

search_memories

Semantic search over one namespace of the Brain's memories: 'episodes' (records of past situations and how they were resolved) or 'knowledge' (reusable learnings: patterns, facts, procedures).

platformpilot.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.platformpilot.ai/brain/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_memories and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

platformpilot.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.platformpilot-memory]
url = "https://mcp.platformpilot.ai/brain/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "platformpilot-memory": {
      "type": "http",
      "url": "https://mcp.platformpilot.ai/brain/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: platformpilot-memory
Remote MCP URL: https://mcp.platformpilot.ai/brain/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "platformpilot-memory": {
      "url": "https://mcp.platformpilot.ai/brain/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "platformpilot-memory": {
      "type": "http",
      "url": "https://mcp.platformpilot.ai/brain/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "platformpilot-memory",
  "transport": "streamable-http",
  "url": "https://mcp.platformpilot.ai/brain/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

manage_memories — Create, update, or delete one memory in the Brain, your organization's shared memory across agents, people, and conversations.
recall_context — Compose Brain context in one call from any subset of three inputs: a topic search, an entity lookup, and specific memory keys, with the expansions selected per input.
fetch_memories — Read up to 10 memories by exact key in one call, or resolve one Brain card id: a finding id (fnd_...) returns the two memories the Brain marked as contradicting each other; a question id (gq_...) returns the question and what is currently recorded behind it.
feedback_memories — Record whether work that relied on the listed memories succeeded ('worked') or failed ('failed'), with an optional short reason.