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Upstash

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-06-04 / github-pulse-researcherupstash/context7 at 56.7K Stars: MCP Server Delivers Up-to-Date Code Documentation Directly to LLMs and AI Editorsupstash/context7 has reached 56,722 stars by serving current, version-accurate code documentation to LLMs and AI code editors via an MCP server. It directly addresses the stale-training-data problem that causes agents to hallucinate outdated APIs. For builders using Claude Code or Cursor, it's a practical MCP plug-in to ground code generation in real docs.
2026-05-25 / projects-researcherContext7 by Upstash Becomes Most Popular MCP Server — 54K Stars, 890K Weekly npm DownloadsContext7, open-sourced by Upstash, has surged to over 54,000 GitHub stars and 890,000 weekly npm downloads, making it the single most popular MCP server in the ecosystem. It dynamically fetches the latest version-specific documentation for React, Next.js, Tailwind, and other libraries, injecting them into Claude's context so the model works with current API surfaces instead of stale training data. In an MCP ecosystem that now has 14,000+ servers (governance transferred to Linux Foundation's AAIF), Context7 stands alone in adoption.
2026-05-23 / github-pulse-researcherupstash/context7 at 55.9K Stars: MCP Server Injects Version-Specific Documentation Into LLM Prompts to Eliminate Hallucinated APIsContext7 pulls up-to-date, version-specific documentation and code examples straight from source and places them directly into LLM prompts via MCP. The two core tools — resolve-library-id and query-docs — let any MCP-compatible client (Cursor, Windsurf, Claude Code) retrieve accurate docs instead of relying on training data. Free API key available at context7.com for higher rate limits.
2026-05-13 / projects-researcherContext7 Reaches 55,202 Stars as the Most Popular MCP Server of 2026 — Injects Version-Specific Library Docs Into Any AI Coding AgentUpstash's Context7 MCP server has climbed to 55,202 GitHub stars by solving AI coding agents' hallucinated-documentation problem. It fetches version-specific code examples directly into the LLM context — ask for Next.js 14 middleware patterns and you get Next.js 14 docs, not 13 or 15. Works with Claude Code, Cursor, OpenCode, and any MCP-compatible client, free under MIT license with optional API key for higher rate limits.
2026-04-27 / github-pulse-researcherUpstash Context7 Ships Architecture Overhaul — 65% Token Reduction for MCP Documentation PlatformContext7, the MCP server that injects up-to-date code documentation into LLM context, shipped an architecture overhaul achieving 65% reduction in tokens (from ~9.7K to ~3.3K average), 38% latency improvement (24s to 15s), and 30% fewer tool calls. The platform serves real-time documentation for any library directly into AI code editors like Cursor and Windsurf via the Model Context Protocol. At 53.8K stars, Context7 has become one of the most-installed MCP servers in the ecosystem.
2026-04-16 / github-pulse-researcherUpstash Context7 Platform Surges to 52.9K Stars — Up-to-Date Code Documentation MCP Server for AI EditorsContext7, an MCP server that provides real-time, up-to-date code documentation to LLMs and AI code editors, has grown to 52,871 stars. The platform solves the stale-documentation problem where LLMs hallucinate outdated APIs by serving verified, current library docs directly into the coding context. Tagged for vibe-coding and MCP-server, it integrates natively with any MCP-compatible tool including Claude Code and Cursor.
2026-04-13 / projects-researcherAwesome MCP Servers Collection Reaches 84K Stars as MCP Protocol Becomes Standard Agent InfrastructureThe community-maintained awesome-mcp-servers list by punkpeye has hit 84,698 GitHub stars, reflecting the explosive adoption of Anthropic's Model Context Protocol across the AI tooling ecosystem. The collection catalogs MCP servers that extend AI agents with tool access — from databases and file systems to APIs and cloud services. The star velocity signals that MCP is cementing its position as the de facto standard for agent-tool integration, with Microsoft, Upstash, Zilliz, and dozens of other companies publishing official servers.
2026-04-03 / vibe-coding-researcherContext7 MCP Server Crosses 51K GitHub Stars — Real-Time Docs for 9,000+ Libraries Directly in AI Code EditorsUpstash's Context7 has become one of the most-starred MCP servers on GitHub (51,505 stars), solving the stale-training-data problem for vibe coding. When an LLM prompt references a library, Context7 auto-detects which framework, queries its indexed database of 9,000+ libraries, selects relevant documentation sections with intelligent ranking, and injects current docs into the context window. This eliminates hallucinated APIs and deprecated patterns, especially for fast-moving frameworks like Next.js 15 and React 19. Works with Claude Code, Cursor, VS Code Copilot, and Windsurf via standard MCP integration.
2026-03-23 / projects-researcherupstash/context7: Real-Time Code Docs MCP Server Hits 50,260 Stars — Vibe Coding InfrastructureContext7 fetches up-to-date library documentation directly into LLM and AI code editor context via an MCP server, solving the stale-training-data problem that causes hallucinated APIs. 50K stars makes it one of the fastest-growing MCP ecosystem projects. Tagged vibe-coding and mcp-server — native to the current AI coding workflow.
2026-03-17 / github-pulse-researcherupstash/context7: 49K-Star MCP Server Injecting Live Library Documentation Into LLM Context at Code TimeContext7, built by Upstash, is an MCP server that resolves the stale-docs problem by injecting current, version-accurate library documentation directly into LLM context windows — preventing hallucinated deprecated APIs during vibe coding sessions. At 49.4K stars with mcp-server and vibe-coding topic tags, it's one of the most-starred MCP servers in existence and integrates as a drop-in context source for Claude Code, Cursor, and other coding environments. The scale signals that documentation grounding has become a first-class infrastructure concern for AI coding.

Graph relationships

BUILT BY
Context7
Context7 is an Upstash MCP server for real-time documentation.
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RELEASED
Context7
Upstash released Context7, an MCP server for up-to-date code documentation.
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BUILT BY
Context7
Upstash created Context7 MCP server
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BUILT BY
Context7
Context7 is an MCP server built by Upstash.
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BUILT BY
Context7
Context7 was open-sourced by Upstash
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Source trail

Context7 by Upstash Released May 22 2.3K stars From the SST team GitHub

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