Status basis: npm_downloads_7d gained 11 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 11 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 11 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 11 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -20 per 3d from 52 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -20 per 3d from 52 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -28 per 3d from 52 (<= 40% of the prior window)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | 1 | inferred | 1 quote(s) |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It bridges natural language input with multi-tool execution, making it a critical component in the growing ecosystem of autonomous AI agents.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Local stdio MCP bridge for XCREENER's XQL screener API”— readme
“env": { "XCREENER_API_KEY": "your-api-key" }”— readme
“git clone https://github.com/xcreener/xcreener-mcp.git”— readme
“exposes `xql_validate`, `xql_explain`, `xql_run`, and `xql_nl_reference` as MCP tools”— readme
FAQ
What is MCP server so AI agents can screen markets in plain English?
An MCP server that lets non-technical users instruct AI agents to automatically analyze market opportunities using plain language.
What does MCP server so AI agents can screen markets in plain English do?
To enable non-technical users to analyze potential market opportunities by giving simple natural language commands to AI agents.
Why does MCP server so AI agents can screen markets in plain English matter?
It bridges natural language input with multi-tool execution, making it a critical component in the growing ecosystem of autonomous AI agents.
How much does MCP server so AI agents can screen markets in plain English cost?
Usage-based
Is MCP server so AI agents can screen markets in plain English open source?
Yes — MCP server so AI agents can screen markets in plain English is open source.
Can I self-host MCP server so AI agents can screen markets in plain English?
Yes — MCP server so AI agents can screen markets in plain English can be self-hosted.
What does MCP server so AI agents can screen markets in plain English integrate with?
mcp
How popular is MCP server so AI agents can screen markets in plain English?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-08-02).
What are the best MCP server so AI agents can screen markets in plain English alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, ruflo, career-ops, archify, cherry-studio.