Context7 Alternative: MCP Code Graph

This page is for teams who wired Context7 into their agent to stop it hallucinating library APIs, and are now wondering whether the same MCP setup can answer questions about their own code. It cannot, and that is not a knock on Context7: the two tools solve different problems. Here is where the line sits.

What Context7 does

Context7 is an Upstash project that serves "up-to-date documentation for LLMs and AI code editors" (context7.com). The problem it targets is stated plainly in its README: "LLMs rely on outdated or generic information about the libraries you use," which produces code examples based on year-old training data, hallucinated APIs that do not exist, and generic answers for old package versions (upstash/context7). Its fix is to pull version-specific documentation and code examples straight from the source and place them into the prompt.

The MCP server is open source under the MIT license, though the API backend, parsing engine, and crawling engine are private (upstash/context7). It exposes two tools: resolve-library-id, which turns a library name into a Context7 id, and query-docs, which returns documentation for that id matched to your question (upstash/context7-mcp). The agent names a library, Context7 hands back current docs and snippets for it.

What Symvanta does

Symvanta indexes your own repository into a live graph: nodes are symbols, edges are calls, imports, implements, and instantiates. It exposes that graph as MCP tools the agent queries directly: relate with callers, dependencies, blast_radius, implementers, heritage, and chain modes, plus find_node for symbol resolution and find_http_route for handlers. When an agent is about to change a function, it asks "who calls this" or "what breaks if I change this" and gets a graph traversal back, across repositories, on the branch it is working on. Embeddings and text search sit beside the graph for semantic and literal matching.

That is a different question than the one Context7 answers. Context7 tells the agent how a library's public API is meant to be used. Symvanta tells the agent how your code is actually wired together. As code embeddings vs. code graph puts it: docs and search tell you what looks related, a graph tells you what is connected.

Private code

Context7 covers more than public libraries now. The Pro plan adds private GitHub, GitLab, and Bitbucket repos, parsed into the same documentation-and-snippets index as public ones (Context7 plans). What that parses your repo into matters: the output is still documentation and code examples. Pointed at your own code, Context7 answers "how is this library used" and returns snippets; it does not return every caller of a method or a blast radius across services. Private libraries also do not refresh automatically, so a team triggers a rebuild whenever internal packages change.

Symvanta indexes private code as its default job, and cross-repo is a first-class edge: it matches HTTP call sites to the routes they hit, SQL access to the ORM model that owns the table, and queue producers to their consumers, so a change in one service surfaces the callers it breaks in another. Indexing is branch-aware, down to uncommitted working-tree edits.

Pricing, as of July 2026

Context7 Free is $0: public repos, OAuth 2.0, 1,000 API calls a month. Pro is $10 per seat/month with private repos, team collaboration, and 5,000 calls per seat (further calls at $10 per 1,000, private-repo parsing billed at $25 per 1M tokens). Enterprise is custom, starting around $30/user/month and scaling down toward $2.50/user for large teamspaces, with SOC-2, SSO, and self-hosted deployment (Context7 plans).

Symvanta is per seat: Starter $19/month, Pro $29 per seat/month with a 7-day trial, Enterprise $99 per seat/month with a 15-seat minimum. The unit of value differs, so the numbers do not line up directly: Context7 meters documentation API calls, Symvanta charges for a seat that can query the graph as much as it wants.

MCP support

Both are MCP-native and both work with the clients you already run. Context7 lists Cursor, Claude Code, and VS Code, with "manual MCP installation for 30+ clients" (upstash/context7). Symvanta is a hosted MCP endpoint with OAuth2 PKCE, URL-based, working with Claude Code, Cursor, Windsurf, VS Code, Claude Desktop, and any MCP client.

Run both

There is no conflict here. A well-set-up agent holds both at once: Context7 for "how do I call this framework correctly," Symvanta for "what in our code depends on this and what breaks if I change it." One keeps the agent current on the libraries you import, the other keeps it grounded in the code you own. Teams that run both point Context7 at the public and internal libraries they consume, and Symvanta at the services they build.

Side by side

Who should pick Context7

If your main pain is an agent that hallucinates library APIs or writes against a version you upgraded off months ago, Context7 fixes exactly that, and the free tier lets you wire it in this afternoon. It is the right tool for keeping an agent current on the frameworks and packages you pull in.

Who should pick Symvanta

If the failure you keep hitting is an agent that edits your code confidently and misses a caller in another file or another service, that is a graph problem, and documentation retrieval does not touch it. That failure mode is the subject of why AI coding agents fail on large codebases. Symvanta gives the agent your call graph over MCP so it knows what connects to what before it changes anything.

Most teams comparing these end up wanting both. The one you cannot fake with better documentation is the graph of your own code. Book a 15-minute demo and ask it a real question about a real change.