Butlerbrain MCP vs Hindsight

A side-by-side look at the Butlerbrain MCP and Hindsight MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

B
Butlerbrain MCPKnowledge & Memory
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.37FairAuth: not declared
Hindsight logoHindsightKnowledge & Memory · Local subprocess (stdio)Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory57GoodAuth: api key required

Verdict: choose Butlerbrain MCP for knowledge & memory work; choose Hindsight for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

B
Choose Butlerbrain MCP when

  • You need dedicated capabilities in the Knowledge & Memory domain.
Explore Butlerbrain MCP

Hindsight logoChoose Hindsight when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: HINDSIGHT_API_LLM_API_KEY, HINDSIGHT_API_LLM_PROVIDER, HINDSIGHT_DB_PASSWORD.
Explore Hindsight

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
B
Butlerbrain MCP
Hindsight logoHindsight
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal37/100 · Fair57/100 · Good
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredFree
Required env varsNone listedHINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars—53,457
Directory activity 1 views 0 installs 0 upvotes 15 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Butlerbrain MCP tools

No tool names declared yet. Check the project README from the listing page.

Hindsight tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Butlerbrain MCP

No confirmed install command for Butlerbrain MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.

Hindsight

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "vectorize-io-hindsight": {
      "command": "npx",
      "args": [
        "-y",
        "@vectorize-io/hindsight-coding-agents"
      ],
      "env": {
        "HINDSIGHT_API_LLM_API_KEY": "YOUR_HINDSIGHT_API_LLM_API_KEY_HERE",
        "HINDSIGHT_API_LLM_PROVIDER": "YOUR_HINDSIGHT_API_LLM_PROVIDER_HERE",
        "HINDSIGHT_DB_PASSWORD": "YOUR_HINDSIGHT_DB_PASSWORD_HERE"
      }
    }
  }
}

Frequently asked questions

Butlerbrain MCP is categorized under Knowledge & Memory and uses an install path we have not confirmed yet. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Butlerbrain MCP for knowledge & memory work and Hindsight for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Butlerbrain MCP has no confirmed install command yet — follow its own setup instructions.

Butlerbrain MCP has no declared pricing — check the project's own site. Hindsight is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add mcp-4 and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Butlerbrain MCP has a quality signal of 37/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Hindsight has 57/100 (Good) with 15 views, 0 installs and 53,457 GitHub stars.