MCP server · Infer by Flow7
infer-by-flow7-mcp.yml
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⚠ Proposed MCP surface. No official hosted MCP server was found for Infer by Flow7. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Infer by Flow7 publishes an official server, this page will update to it on the next build.
Descriptor
Candidate descriptor · transport
Tools
get_public_catalog— Read published selectors, per-million prices, cache rates, privacy modes and per-model runtime capabilities. Optional `environment` query (sandbox | live).get_public_status— Read overall and per-service operational state with p95 latency. Must be called before recommending or sending any paid request.list_models— List selectors currently callable for the authenticated key's environment.create_response— Create a Responses-style inference request against a canonical selector. Reserves the maximum estimated cost before routing and returns a receipt.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.