ResumeQuick vs Hindsight

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

R
ResumeQuickKnowledge & Memory · Remote HTTP/SSE
Career assistant: resumes, job-match analysis, interview results and career memory.39FairAuth: oauth 2.0
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 ResumeQuick 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?

R
Choose ResumeQuick when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: OAuth 2.0.
Explore ResumeQuick

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
R
ResumeQuick
Hindsight logoHindsight
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal39/100 · Fair57/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthOAuth 2.0API key required
PricingNot declaredFree
Required env varsNone listedHINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars—53,323
Directory activity 0 views 0 installs 0 upvotes 14 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

ResumeQuick 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.

ResumeQuick

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "resumequick": {
      "command": "npx",
      "args": [
        "-y",
        "resumequick"
      ]
    }
  }
}

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

ResumeQuick is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick ResumeQuick 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.

ResumeQuick has no declared pricing — check the project's own site. Auth: oauth 2.0. 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 resumequick and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, ResumeQuick has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 53,323 GitHub stars.