Atlaso Labs MCP vs Hindsight
A side-by-side look at the Atlaso Labs MCP and Hindsight MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Atlaso Labs MCP for knowledge & memory work over a hosted endpoint; 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?
Choose Atlaso Labs MCP when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a remote HTTP/SSE transport.
Choose 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 37/100 · Fair | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | HINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 52,712 |
| Directory activity | 0 views 0 installs 0 upvotes | 14 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Atlaso Labs MCP | View Hindsight |
Tools & capabilities
Atlaso Labs 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.
Atlaso Labs MCP
{
"mcpServers": {
"mcp-3": {
"url": "https://mcp.atlaso.ai/mcp"
}
}
}
Hindsight
{
"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
Atlaso Labs MCP is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Atlaso Labs 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.
Atlaso Labs 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-3 and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Atlaso Labs MCP has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 52,712 GitHub stars.