INDIVIDUAL MCP TOOL

feedback_memories

Record whether work that relied on the listed memories succeeded ('worked') or failed ('failed'), with an optional short reason.

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 feedback_memories and invoke it with your own arguments.

{}

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.

CONNECT WITH APPROVAL

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.

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).
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.