Lens vs ResearchZosho

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

Lens logoLensResearch · Remote HTTP/SSEBuild an AI chatbot from your own content that answers with citations: FAQ, docs, coach, support.53GoodAuth: not declaredResearchZosho logoResearchZoshoResearch · Local subprocess (stdio)The research librarian for the rest of us: reads, keeps and questions your sources.47FairAuth: no auth required

Verdict: choose Lens for research work over a hosted endpoint; choose ResearchZosho for research as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Lens logoChoose Lens when

  • You need dedicated capabilities in the Research domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like create_digital_twin_lens, add_lens_knowledge, get_lens_status.
Explore Lens

ResearchZosho logoChoose ResearchZosho when

  • You need dedicated capabilities in the Research domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
Explore ResearchZosho

Feature & specification comparison

Rows where the two servers differ are marked.

SpecLens logoLensResearchZosho logoResearchZosho
CategoryResearchResearch
Quality signal53/100 · Good47/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars01
Directory activity 1 views 0 installs 0 upvotes 0 views 0 installs 0 upvotes
Tools3Not listed

Tools & capabilities

Lens tools 3

  • create_digital_twin_lensCreate a shareable Mindola lens (AI clone) from a profile the user has approved in this conversation. Call this only after summarizing the proposed lens for the user and receiving explicit confirmation. Use only information the user provided or confirmed in the conversation; do not claim access to hidden memory, private chats, or external accounts.
  • add_lens_knowledgeAdd text notes or URLs to a Mindola lens created in this conversation (before it is claimed). Content runs through the standard ingest pipeline so the lens can answer from it, with citations.
  • get_lens_statusCheck a Mindola lens: its share URL, whether it has been claimed, and how much of its knowledge has finished ingesting (ready / pending / failed).

ResearchZosho 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.

Lens

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "lens-2": {
      "url": "https://app.mindola.ai/mcp/lens"
    }
  }
}

ResearchZosho

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "researchzosho": {
      "command": "npx",
      "args": [
        "-y",
        "@wyrdsekai/researchzosho-mcp"
      ]
    }
  }
}

Frequently asked questions

Lens is categorized under Research and uses a remote HTTP/SSE transport. ResearchZosho belongs to Research and uses a local stdio subprocess. Pick Lens for research work and ResearchZosho for research.

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.

Lens has no declared pricing — check the project's own site. ResearchZosho has no declared pricing — check the project's own site. Auth: no auth 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 lens-2 and researchzosho as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Lens has a quality signal of 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars. ResearchZosho has 47/100 (Fair) with 0 views, 0 installs and 1 GitHub stars.