Upstash›Upstash› offers Context7

Context7 provides several ways to retrieve documentation for developer questions. The API guide describes a search endpoint for locating relevant information, library search for choosing a documentation source, and a context endpoint for retrieving documentation from a selected library.

The product documentation also lists routes for refreshing or submitting libraries and documentation sources. Client materials describe MCP and command-line integrations. These documented interfaces let a development team connect Context7 to coding assistants or incorporate documentation retrieval into its own application.

Upstash announced Context7 in March 2025 as a product for bringing library documentation and code examples into coding-assistant workflows. The launch article describes processing source documentation and preparing selected technical material for retrieval in response to developer questions.

Later product documentation covers a hosted MCP service, command-line tools, and APIs for library search and documentation context. Enterprise pages describe private repositories and on-premise deployment. Context7 remains identified in its first-party About page as a product built and maintained by the Upstash team.

As listed on the Context7 plans page on September 27, 2026, the product has Free, Pro, and Enterprise plans. The published page describes monthly API-call allowances for the free and per-seat Pro plans, additional usage billed by request, and custom Enterprise terms. Private repository parsing is listed separately from standard API usage.

This pricing structure combines subscription access with consumption-based charges for usage beyond included allowances. Enterprise materials also describe private repositories, team features, and self-hosted deployment options. These plan details are a dated snapshot of the public page and should be checked against the live plan terms when making purchasing decisions.

Context7 provides a service that retrieves technical documentation and code examples for AI coding workflows. Official materials describe Search and Context APIs that locate relevant library information and return material from selected technical sources.

Developers can use the hosted MCP server, API, and command-line setup. Documentation also describes repository and website submissions, along with enterprise options for private sources and on-premise deployment.