FlowLeap Patent AI vs MCP Bigquery Server
A side-by-side look at the FlowLeap Patent AI and MCP Bigquery Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
F
FlowLeap Patent AIDatabases · Remote HTTP/SSEEPO/USPTO search, citations, OCR, plus PATSTAT Portfolio Analytics, guarded SQL and Graph Analytics.40FairAuth: not declaredVerdict: choose FlowLeap Patent AI for databases work over a hosted endpoint; choose MCP Bigquery Server for databases as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
FChoose FlowLeap Patent AI when
- You need dedicated capabilities in the Databases domain.
- You prefer a remote HTTP/SSE transport.
Choose MCP Bigquery Server when
- You need dedicated capabilities in the Databases domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | F FlowLeap Patent AI | |
|---|---|---|
| Category | Databases | Databases |
| Quality signal | 40/100 · Fair | 56/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 148 |
| Directory activity | 0 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View FlowLeap Patent AI | View MCP Bigquery Server |
Tools & capabilities
FlowLeap Patent AI tools
No tool names declared yet. Check the project README from the listing page.
MCP Bigquery Server 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.
FlowLeap Patent AI
{
"mcpServers": {
"flowleap-patent-ai": {
"url": "https://api.flowleap.co/mcp"
}
}
}
MCP Bigquery Server
{
"mcpServers": {
"ergut-mcp-bigquery-server": {
"command": "npx",
"args": [
"-y",
"@ergut/mcp-bigquery-server"
]
}
}
}
Frequently asked questions
FlowLeap Patent AI is categorized under Databases and uses a remote HTTP/SSE transport. MCP Bigquery Server belongs to Databases and uses a local stdio subprocess. Pick FlowLeap Patent AI for databases work and MCP Bigquery Server for databases.
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.
FlowLeap Patent AI has no declared pricing — check the project's own site. MCP Bigquery Server is bring-your-own-key: usage is billed by the API provider you supply a key for. 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 flowleap-patent-ai and ergut-mcp-bigquery-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, FlowLeap Patent AI has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. MCP Bigquery Server has 56/100 (Good) with 2 views, 0 installs and 148 GitHub stars.
