# Context7 MCP Server (`agentify/context7-mcp-server`) Actor

Up-to-date code documentation for any prompt

- **URL**: https://apify.com/agentify/context7-mcp-server.md
- **Developed by:** [agentify](https://apify.com/agentify) (community)
- **Categories:** AI, Agents, Open source
- **Stats:** 25 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Context7 MCP Server

Context7 MCP Server provides up-to-date, version-specific documentation and code examples straight from the source for any programming library or framework. Get working code answers with the latest APIs and best practices.

**About this MCP Server:** To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at [mcp.apify.com](https://mcp.apify.com).

### Connection URL

MCP clients can connect to this server at:

```text
https://mcp-servers--context7-mcp-server.apify.actor/mcp
```

### Client Configuration

To connect to this MCP server, use the following configuration in your MCP client:

```json
{
  "mcpServers": {
    "context7": {
      "url": "https://mcp-servers--context7-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

**Note:** Replace `YOUR_APIFY_TOKEN` with your actual Apify API token. You can find your token in the [Apify Console](https://console.apify.com/account/integrations).

### 🚩 Claim this MCP server

All credits to the original authors of https://github.com/upstash/context7
To claim this server, please write to <ai@apify.com>.

***

### Context7 MCP - Up-to-date Code Docs For Any Prompt

### ❌ Without Context7

LLMs rely on outdated or generic information about the libraries you use. You get:

- ❌ Code examples are outdated and based on year-old training data
- ❌ Hallucinated APIs that don't even exist
- ❌ Generic answers for old package versions

### ✅ With Context7

Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt.

Add `use context7` to your prompt in Cursor:

```txt
Create a Next.js middleware that checks for a valid JWT in cookies and redirects unauthenticated users to `/login`. use context7
```

```txt
Configure a Cloudflare Worker script to cache JSON API responses for five minutes. use context7
```

Context7 fetches up-to-date code examples and documentation right into your LLM's context.

- 1️⃣ Write your prompt naturally
- 2️⃣ Tell the LLM to `use context7`
- 3️⃣ Get working code answers

No tab-switching, no hallucinated APIs that don't exist, no outdated code generation.

### 🔨 Available Tools

Context7 MCP provides the following tools that LLMs can use:

- `resolve-library-id`: Resolves a general library name into a Context7-compatible library ID.
  - `libraryName` (required): The name of the library to search for

- `get-library-docs`: Fetches documentation for a library using a Context7-compatible library ID.
  - `context7CompatibleLibraryID` (required): Exact Context7-compatible library ID (e.g., `/mongodb/docs`, `/vercel/next.js`)
  - `topic` (optional): Focus the docs on a specific topic (e.g., "routing", "hooks")
  - `tokens` (optional, default 5000): Max number of tokens to return. Values less than 1000 are automatically increased to 1000.

### 🛟 Tips

#### Add a Rule

> If you don't want to add `use context7` to every prompt, you can define a simple rule in your MCP client's rule section:
>
> - For Windsurf, in `.windsurfrules` file
> - For Cursor, from `Cursor Settings > Rules` section
> - For Claude Code, in `CLAUDE.md` file
>
> Or the equivalent in your MCP client to auto-invoke Context7 on any code question.
>
> Example Rule:
>
> ```toml
> Always use context7 when I need code generation, setup or configuration steps, or
> library/API documentation. This means you should automatically use the Context7 MCP
> tools to resolve library id and get library docs without me having to explicitly ask.
> ```
>
> From then on, you'll get Context7's docs in any related conversation without typing anything extra. You can alter the rule to match your use cases.

#### Use Library Id

> If you already know exactly which library you want to use, add its Context7 ID to your prompt. That way, Context7 MCP server can skip the library-matching step and directly continue with retrieving docs.
>
> ```txt
> Implement basic authentication with Supabase. use library /supabase/supabase for API and docs.
> ```
>
> The slash syntax tells the MCP tool exactly which library to load docs for.

### References

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp)
- [Webinar: Building and Monetizing MCP Servers on Apify](https://www.youtube.com/watch?v=w3AH3jIrXXo)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

# Actor input Schema

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("agentify/context7-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("agentify/context7-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call agentify/context7-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,agentify/context7-mcp-server"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1hK4SDwAukmX2cvuu/builds/WrOLG3vo8ope7evuY/openapi.json