Agentic Tools#

Context7 provides tools and integrations that give your AI agents access to accurate, up-to-date library documentation. Instead of relying on potentially outdated training data, your agents can fetch real-time documentation to answer questions and generate code.

Why Agentic Tools?#

AI agents often struggle with:

Outdated knowledge - Training data becomes stale, leading to deprecated API usage
Hallucinated APIs - Models confidently suggest methods that don't exist
Version mismatches - Code examples from old versions that no longer work

Context7's agentic tools solve these problems by giving your agents direct access to current documentation during inference.

Available Integrations#

Vercel AI SDK

Add Context7 tools to your AI SDK workflows with generateText, streamText, or use the pre-built Context7Agent for automatic documentation lookup.

TypeScript SDK

Call Context7 directly from any TypeScript or Node.js app.

MCP Server

Connect Context7's MCP server to any agent or editor.

How It Works#

Use Cases#

Documentation-Aware Chatbots

Build chatbots that answer framework questions with accurate, version-specific information:

import { generateText, stepCountIs } from "ai";import { openai } from "@ai-sdk/openai";import { resolveLibraryId, queryDocs } from "@upstash/context7-tools-ai-sdk";const { text } = await generateText({  model: openai("gpt-5.2"),  prompt: "How do I set up authentication in Next.js 15?",  tools: {    resolveLibraryId: resolveLibraryId(),    queryDocs: queryDocs(),  },  stopWhen: stepCountIs(5),});

Code Generation Pipelines

Ensure generated code uses current APIs and best practices:

import { Context7Agent } from "@upstash/context7-tools-ai-sdk";import { anthropic } from "@ai-sdk/anthropic";const agent = new Context7Agent({  model: anthropic("claude-sonnet-4-20250514"),});const { text } = await agent.generate({  prompt: "Generate a Supabase Edge Function that handles webhooks",});

Code Review Agents

Build code review agents that verify implementations against current API documentation:

import { generateText, stepCountIs } from "ai";import { anthropic } from "@ai-sdk/anthropic";import { resolveLibraryId, queryDocs } from "@upstash/context7-tools-ai-sdk";const codeToReview = `  const { data } = await supabase    .from('users')    .select('*')    .eq('id', userId)    .single();`;const { text } = await generateText({  model: anthropic("claude-sonnet-4-20250514"),  prompt: `Review this Supabase code for correctness and best practices:${codeToReview}Check against the latest Supabase documentation.`,  tools: {    resolveLibraryId: resolveLibraryId(),    queryDocs: queryDocs(),  },  stopWhen: stepCountIs(5),});// Agent fetches current Supabase docs to verify:// - Correct method signatures// - Deprecated patterns// - Security best practices// - Error handling recommendations