Landlord · 包租公 vs PraisonAI

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

L
Landlord · 包租公Finance & Fintech · Remote HTTP/SSE
RENT-ranked covered-call, CSP & wheel income ideas, your positions & Greeks. Never places orders.39FairAuth: no auth required
PraisonAI logoPraisonAICoding Agents · Local subprocess (stdio)AI Agents Framework with Self Reflection and MCP support40FairAuth: no auth required

Verdict: choose Landlord · 包租公 for finance & fintech work over a hosted endpoint; choose PraisonAI for coding agents as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

L
Choose Landlord · 包租公 when

  • You need dedicated capabilities in the Finance & Fintech domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: No auth required.
Explore Landlord · 包租公

PraisonAI logoChoose PraisonAI when

  • You need dedicated capabilities in the Coding Agents domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You have the keys it needs: OPENAI_API_KEY.
Explore PraisonAI

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
L
Landlord · 包租公
PraisonAI logoPraisonAI
CategoryFinance & FintechCoding Agents
Quality signal39/100 · Fair40/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNo auth requiredNo auth required
PricingNot declaredNot declared
Required env varsNone listedOPENAI_API_KEY
Verified ownerCommunity listingCommunity listing
GitHub stars—9,289
Directory activity 0 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Landlord · 包租公 tools

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

PraisonAI 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.

Landlord · 包租公

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

PraisonAI

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": [
        "praisonai"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      }
    }
  }
}

Frequently asked questions

Landlord · 包租公 is categorized under Finance & Fintech and uses a remote HTTP/SSE transport. PraisonAI belongs to Coding Agents and uses a local stdio subprocess. Pick Landlord · 包租公 for finance & fintech work and PraisonAI for coding agents.

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.

Landlord · 包租公 has no declared pricing — check the project's own site. Auth: no auth required. PraisonAI 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 landlord and praisonai as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Landlord · 包租公 has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. PraisonAI has 40/100 (Fair) with 3 views, 0 installs and 9,289 GitHub stars.