Context7
Context7 is an MCP-based documentation platform that delivers up-to-date, version-specific library docs to AI coding assistants, serving individual developers via freemium and engineering teams through paid Pro and Enterprise tiers.
- Company typePrivate
- Founded2024
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Context7 does
Context7 is a documentation infrastructure platform that delivers up-to-date, version-specific library documentation and code examples to AI coding assistants and agents. Built on the Model Context Protocol (MCP) standard, the product functions as a server that AI coding tools connect to at runtime, eliminating reliance on outdated LLM training data and preventing hallucinated APIs. The core product is an MCP server indexed across thousands of public and private libraries (including Next.js, React, AWS, Prisma, etc.), supplemented by a TypeScript SDK (@upstash/context7-sdk), a Vercel AI SDK tools package, a CLI (ctx7), and native integrations with 30+ AI coding clients including Claude Code, Cursor, GitHub Copilot, Codex, OpenCode, ChatGPT, and JetBrains AI Assistant.
The business model is primarily product-led growth with a freemium-to-paid conversion funnel. Revenue is generated through three streams: (1) Pro subscriptions at $10/seat/month with 5,000 API calls per member plus usage-based billing at $10 per 1,000 additional calls, (2) Enterprise subscriptions with custom per-seat pricing ranging from $30/user/month for small teams down to $2.50/user/month at scale, including SOC-2 Type II compliance, SSO (SAML/OIDC), dedicated SLA support, and self-hosted deployment, and (3) usage-based fees of $25 per 1 million tokens for private repository parsing. Distribution occurs exclusively through digital channels (CLI installation, MCP protocol integration, VS Code Marketplace) targeting individual developers, with field sales activated for enterprise deals requiring security and deployment controls. Context7 is a project of Upstash Inc., which provides the underlying serverless data infrastructure (80,000+ active databases, 850+ billion monthly requests at 99.99%+ uptime).
Context7 firmographics
Firmographics- Name
- Context7
- Legal name
- Context7 (a project of Upstash Inc.)
- Website
- https://context7.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Context7 is an MCP-based documentation platform that delivers up-to-date, version-specific library docs to AI coding assistants, serving individual developers via freemium and engineering teams through paid Pro and Enterprise tiers.
- Ownership category
- akta.pro rank
Context7 industry classification
Industry- Product category
- Developer Documentation API
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where Context7 is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Context7 business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- Subscription - Pro Plan: Per-seat monthly subscription at $10/seat/month providing 5,000 API calls per member per month, private repository access, and team collaboration features. Additional usage billed at $10 per 1,000 API calls.
- Subscription - Enterprise Plan: Custom per-seat pricing scaled by teamsize, starting at $30/user/month for small teams down to $2.50/user/month for large organizations. Includes SOC-2 compliance, SSO, dedicated support with SLA, and self-hosted deployment options.
- Private Repository Parsing: Charged separately from subscription at $25 per 1 million tokens processed when adding or refreshing private repository documentation
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for individual developers with basic documentation access |
| Per seat | Monthly | Professional plan with team features and higher rate limits |
| Per seat | Annual | Enterprise tier with compliance certifications and advanced security |
Go-to-market motion1 record
Distribution channels5 records
Marketing channels6 records
Context7 product offering
Product offeringCore offering
Context7 provides an MCP-compliant documentation server that delivers up-to-date, version-specific library documentation and code examples to AI coding assistants at query time. The core MCP server integrates with 30+ AI coding tools including Cursor, Claude Code, GitHub Copilot, Codex, and OpenCode, allowing developers to access accurate API references instead of relying on outdated training data. The platform is offered through a free tier, Pro plan ($10/seat/month), and Enterprise tier with SOC-2 compliance, SSO, and self-hosted deployment options.
Product overview
Context7 is a documentation platform that delivers up-to-date, version-specific library documentation to AI coding assistants. The product portfolio consists of the Context7 MCP Server (core product) as an MCP-compliant server that AI coding tools connect to for documentation lookup, accompanied by the ctx7 CLI for setup and documentation queries, the Context7 TypeScript SDK for programmatic access, and the Vercel AI SDK Tools package for integration with AI applications. Additional offerings include a VS Code extension and Pi coding agent extension. The platform is offered in Free, Pro ($10/seat/month), and Enterprise (custom pricing with SOC-2, SSO, self-hosted options) tiers. Teamspaces enable shared documentation access for teams with private repository indexing capabilities. Context7 is built and maintained by the Upstash team.
Differentiator
Problem solved
Functional benefit
Products and services
- Context7 MCP Server The core Model Context Protocol server that provides up-to-date, version-specific library documentation and code examples to AI coding assistants at query time. Supports stdio and HTTP transport, integrates with 30+ MCP clients including Cursor, Claude Code, GitHub Copilot, Codex, and OpenCode. Available remotely at https://mcp.context7.com/mcp.
- Context7 TypeScript SDK TypeScript SDK (@upstash/context7-sdk) providing programmatic access to Context7 documentation services with searchLibrary and getContext methods. Designed for Node.js and TypeScript applications requiring full type coverage.
- ctx7 CLI Command-line interface for Context7 documentation lookup and MCP server setup. Includes ctx7 setup command for configuring AI coding agents (Claude Code, Cursor, Codex, GitHub Copilot, OpenCode) and ctx7 library/docs commands for documentation queries.
- Context7 Vercel AI SDK Tools @upstash/context7-tools-ai-sdk package providing Vercel AI SDK-compatible tools (resolveLibraryId, queryDocs) and pre-built Context7Agent for documentation lookup workflows. Compatible with OpenAI, Anthropic, Google, and other Vercel AI SDK providers via generateText and streamText.
- Context7 VS Code Extension Official VS Code extension (Upstash.context7-mcp) available in Visual Studio Marketplace. Registers Context7 MCP server automatically with VS Code's built-in MCP support for Copilot Chat integration. Requires VS Code 1.101+.
- Context7 Pi Extension @upstash/context7-pi extension for Pi coding agent (pi.dev). Self-contained extension that registers Context7 tools natively without requiring a separate MCP server. Includes resolve-library-id, query-docs tools, context7-docs skill, and /c7-docs command.
Quantifiable outcome
- Reduces hallucinated APIs in AI-generated code by providing version-specific documentation at query time
- +2 more outcomes
Companies that use Context7
Customer profileSegments3 records
Ideal customer profiles3 records
Context7 technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration46 records
AI capability4 records
Feature5 records
Context7 partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core and flagship.
- Claude Code (Anthropic)coreContext7 MCP server integrates with Claude Code, Anthropic's CLI coding agent, providing up-to-date library documentation. Users can configure via npx ctx7 setup --claude or OAuth authentication.
- CursorcoreContext7 provides MCP server integration for Cursor AI-first code editor. One-click installation available via Cursor 1.0, or manual configuration in ~/.cursor/mcp.json.
- OpenAI CodexcoreContext7 available as Codex plugin via marketplace or CLI setup command. Provides documentation lookup skill for OpenAI's coding agent.
- GitHub CopilotcoreContext7 MCP server configurable with GitHub Copilot in VS Code. Setup via npx ctx7 setup --copilot command or manual MCP configuration.
- OpenCodecoreContext7 integrates with OpenCode open-source coding agent. Setup via npx ctx7 setup --opencode, works in terminal-only environments.
- VS CodecoreContext7 VS Code extension available in Visual Studio Marketplace. Registers MCP server automatically with API key support via settings.
- MastracoreMastra, TypeScript framework for building AI agents, provides first-class MCP support with Context7 as a built-in integration option for documentation-aware agents.
- TembocoreTembo orchestration platform includes Context7 as a built-in MCP integration, giving AI coding agents access to up-to-date library documentation.
- Factory AIcoreFactory AI's Droid coding agents can use Context7 MCP server for documentation lookup during coding tasks, verifiable via CLI, MCP manager, or config file.
- CodeRabbitcoreCodeRabbit AI code review tool integrates Context7 to verify implementations against latest API documentation during pull request reviews.
- GitHubcoreGitHub Actions integration allows automatic Context7 documentation refresh when pushing to main branch. Supports both public and private repositories with gitToken authentication.
- UpstashflagshipContext7 is built and maintained by the Upstash team. Built on the same distributed systems expertise, reliability, and security standards as the Upstash serverless data platform. Upstash operates 80,000+ active databases processing 850+ billion monthly requests at 99.99%+ uptime.
Scale indicators5 records
Recent moves6 records
Expansion highlights5 records
Context7 competitors and assessment
Company assessmentDirect peers
- Document360: Knowledge base platform for technical product documentation with AI-powered search (Eddy). Direct peer because both serve engineering and product teams building AI-consumable documentation assets.
- Mintlify: Developer documentation platform that combines traditional docs hosting with AI-powered search and assistant features. Direct competitor because both products target engineering teams needing accurate, AI-consumable documentation.
- Swimm: Developer documentation platform that keeps docs coupled to code, with AI-assisted authoring. Direct peer because both emphasize version-aware, code-aware documentation targeted at engineering organizations.
- ReadMe: API and developer documentation platform with AI-powered Q&A and search. Direct peer because both serve the same developer documentation use case, with overlapping AI-augmented retrieval features.
- GitBook: Technical documentation and knowledge-sharing platform with Git-backed workflows. Direct peer because both target developer and engineering team documentation with a focus on technical accuracy and collaboration.
- Kapa.ai: AI assistant purpose-built for developer documentation and knowledge bases. Direct peer because it provides AI-driven answers over technical documentation, overlapping with Context7's value proposition for coding assistants.
Broad incumbents
- LangChain: Broader AI agent and LLM application framework. Adjacent rather than direct because LangChain focuses on orchestration and tooling for building agents, while Context7 supplies a specific type of context (documentation) those agents consume.
- LlamaIndex: Framework for ingesting, indexing, and retrieving data for LLM applications. Comparable because both address retrieval-augmented generation, but LlamaIndex is a general-purpose framework while Context7 is purpose-built for library documentation.
Others
- Pinecone: Managed vector database used for semantic search and RAG. Ecosystem-adjacent because vector infrastructure often underpins documentation retrieval systems; Context7 may rely on similar retrieval primitives.
- Algolia: Search-as-a-service infrastructure widely used for in-app and documentation search. Comparable as enabling infrastructure for documentation discoverability, though Context7 is a content layer rather than a search engine.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Context7 social profiles
Digital presenceContext7 compliance and trust
Trust signalCompliance4 records
Context7 financial estimates
Financial estimateRevenue estimate
Valuation estimate
Context7 leadership team
Management profileNumber of profiles
Context7 funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Context7 M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Context7
What does Context7 do?
Context7 provides an MCP-compliant documentation server that delivers up-to-date, version-specific library documentation and code examples to AI coding assistants at query time. The core MCP server integrates with 30+ AI coding tools including Cursor, Claude Code, GitHub Copilot, Codex, and OpenCode, allowing developers to access accurate API references instead of relying on outdated training data. The platform is offered through a free tier, Pro plan ($10/seat/month), and Enterprise tier with SOC-2 compliance, SSO, and self-hosted deployment options.
Is Context7 a public or private company?
Context7 is a private company. It is classified as corporate owned and is currently operating.
When was Context7 founded?
Context7 was founded in 2024. It employs 11 to 50 people.
Where is Context7 based?
Context7 is headquartered in San Francisco, United States, in the North America region.
How does Context7 make money?
Three revenue lines are on record. Subscription - Pro Plan is the primary driver. The others are subscription - Enterprise Plan and private Repository Parsing.
Who are Context7's main competitors?
Direct peers on record are Document360, Mintlify, Swimm, ReadMe, GitBook and Kapa.ai. Broad incumbents are LangChain and LlamaIndex. Others are Pinecone and Algolia.
Does Context7 have an API?
Yes. Context7 offers a REST API for documentation lookup, library management, and policy configuration. The API supports authentication via API key (Bearer token) or OAuth 2.0. Key endpoints include: Get documentation context (retrieves LLM-reranked documentation snippets), Search for libraries (LLM-powered ranking), Add library sources (GitHub, GitLab, Bitbucket, Confluence, Notion, websites, OpenAPI specs, llms.txt files), Refresh library, and teamspace policy management. Remote MCP server available at https://mcp.context7.com/mcp with stdio and HTTP transport support. Rate limits vary by plan: Free (1,000 calls/month), Pro (5,000 calls/seat/month with additional billed at $10/1,000), Enterprise (custom). Developer documentation is at context7.com/docs/api-guide.
What industry is Context7 in?
Context7's product category is Developer Documentation API. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 5182 and its SIC code is 7372.