Context7 logo
Context7
★ 63.8k
vs
Graft logo
Graft
★ 10.8k

Context7 vs Graft

Context7: Context7 is an MCP server that injects up-to-date, version-specific library documentation directly into LLM prompts. Add "use context7" to any coding prompt and it fetches current docs for the library you're working with, eliminating hallucinated APIs and outdated code examples. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible editor.; Graft: Graft is an open-source context layer designed to accelerate and optimize coding agents like Claude Code, Cursor, and Gemini by providing deep contextual understanding of large codebases. It builds a human-readable code graph and linked markdown nodes, enabling agents to operate faster, cheaper, and with higher correctness by avoiding repeated code exploration.

01

TL;DR

Context7 logo
Context7Code Assistant · ★ 63.8k
When to choose:
  • You use Cursor, Claude Code or another coding agent with fast-moving public libraries and want current, version-specific docs and examples.
  • You want the least setup: `npx ctx7 setup` signs you in and configures the skill or MCP server for your agents.
  • You want to work with or without MCP: the CLI plus skill mode fetches docs without an MCP server.
When to skip:
  • You need docs for internal or private libraries: a self-hosted index fits better.
  • Your data policy rules out sending queries to an external service: requests go to Upstash's hosted backend.
  • You need a fully open-source stack: only the MCP server is open source; the API backend, parser and crawler are private.
Graft logo
GraftCode Assistant · ★ 10.8k
When to choose:
  • You want to generate a readable, interconnected Markdown knowledge graph of your repository so coding agents (Claude Code, Cursor) can grep and explore without expensive re-indexing.
  • You want to reduce context token waste by giving agents precise map-like documentation of modules and call paths.
When to skip:
  • You need an enterprise graph database with semantic vector embeddings and Cypher queries; code-graph-rag with Neo4j fits that scale.
  • You only have a small, single-file script or a trivial repository.
02

Side-by-Side Comparison

Field
Context7 logoContext7
Graft logoGraft
Category
Code Assistant
Code Assistant
Stars
★ 63.8k
★ 10.8k
License
MIT
MIT
Install Command
npx ctx7 setup
npm install -g @nanonets/graft && graft init
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
LLM, Code Generation, API Documentation
ai-agents, anthropic, claude-code
03

Features

Context7 logoContext7
01Fetches current, version-specific library documentation on demand
02Add "use context7" to any prompt — zero additional configuration
03Covers thousands of popular libraries with up-to-date docs
04Works as a hosted MCP server (no local install required)
05Integrates with Claude Desktop, Cursor, Windsurf, and VS Code
Graft logoGraft
01Generates a human-readable, linked markdown graph of the codebase for contextual understanding.
02Provides real explanations of system parts and their connections, bypassing redundant agent exploration.
03Automatically refreshes the code graph against the working tree for real-time accuracy, even with uncommitted edits.
04Supports multiple LLM providers for generating summaries, allowing users to use their preferred models and keys.
05Acts as a local, regenerable cache (`graft/` folder) that is not committed to version control.
04

Use Cases

Context7 logoContext7
↳Preventing LLMs from hallucinating deprecated or non-existent API methods
↳Getting accurate code examples for the exact library version in use
↳Keeping AI coding assistants up-to-date across fast-moving frameworks
Graft logoGraft
↳Accelerating coding agents for faster and cheaper code understanding and generation.
↳Onboarding new developers or agents to complex codebases by providing pre-mapped context.
↳Identifying the blast radius of code changes to understand potential impacts.
↳Enhancing agent correctness in resolving real-world GitHub issues (SWE-bench verified).
↳Optimizing tool-call, token, and latency savings for LLM-powered coding workflows.
05

Best For

Context7 logoContext7
Most PopularEssentialTrending
Graft logoGraft
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between Context7 and Graft?
Both Context7 and Graft are in the Code Assistant category. Context7 has 63.8k stars, while Graft has 10.8k stars.
Which is better, Context7 or Graft?
The best choice depends on your use case. Choose Context7 if Preventing LLMs from hallucinating deprecated or non-existent API methods, and Graft if Accelerating coding agents for faster and cheaper code understanding and generation..
Is Context7 free or open source?
Yes, Context7 is open source on GitHub (MIT).
Is Graft free or open source?
Yes, Graft is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related