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Overview

docs/agentic-tools/overview.mdx

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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 Instead of relying on potentially outdated training data, your agents can fetch real-time documentation to answer questions and generate code.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  • Outdated knowledge - Training data becomes stale, leading to deprecated API usage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

<CardGroup cols={1}> <Card title="Vercel AI SDK" icon="wand-magic-sparkles" href="/agentic-tools/ai-sdk/getting-started" > Add Context7 tools to your AI SDK workflows with `generateText`, `streamText`, or use the pre-built `Context7Agent` for automatic documentation lookup. </Card> </CardGroup>

How It Works

mermaid
sequenceDiagram
    participant User
    participant Agent
    participant Context7
    participant Docs

    User->>Agent: "How do I use React Server Components?"
    Agent->>Context7: resolveLibraryId(query: "React Server Components", libraryName: "react")
    Context7-->>Agent: Library ID: /reactjs/react.dev
    Agent->>Context7: queryDocs(libraryId: "/reactjs/react.dev", query: "server components")
    Context7->>Docs: Fetch latest documentation
    Docs-->>Context7: Current docs with examples
    Context7-->>Agent: Documentation content
    Agent->>User: Answer with accurate, up-to-date code examples

Use Cases

<AccordionGroup> <Accordion title="Documentation-Aware Chatbots" icon="comments"> Build chatbots that answer framework questions with accurate, version-specific information: 
```typescript
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),
});
```
</Accordion> <Accordion title="Code Generation Pipelines" icon="code"> Ensure generated code uses current APIs and best practices: 
```typescript
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",
});
```
</Accordion> <Accordion title="Code Review Agents" icon="magnifying-glass-chart"> Build code review agents that verify implementations against current API documentation: 
```typescript
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
```
</Accordion> </AccordionGroup>