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.

Every Context7 fact below was checked against its own published documentation and plans on 2026-09-21, with links so you can re-check. Prices and limits move; the vendor pages are the authority.

What Context7 does

Context7 is built by Upstash (Upstash Inc., the company behind the Upstash data platform) and serves "up-to-date, version-specific documentation and code examples" for libraries (context7.com, Context7 Enterprise docs). The problem it targets is stated plainly in its README: "LLMs rely on outdated or generic information about the libraries you use," which produces code examples based on year-old training data, hallucinated APIs that do not exist, and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.

Context7 now ships in two modes: a CLI plus skills mode that installs a skill guiding the agent to fetch docs with ctx7 commands (no MCP required), and an MCP mode that registers the server so the agent calls documentation tools natively (upstash/context7). The MCP surface is 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. The CLI mirrors them as ctx7 library and ctx7 docs. The agent names a library, Context7 hands back current docs and snippets for it.

The MCP server is open source under the MIT license, and the repository is explicit that the supporting components (API backend, parsing engine, and crawling engine) are private and not part of it (upstash/context7). Context7's own docs describe automatic refresh for public libraries, triggered when a requested library is older than a popularity-based threshold: top 100 libraries at 1 day, top 1,000 at 15 days, top 5,000 at 30 days, and everything else at 45 days (Keeping Libraries Fresh).

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. The MCP endpoint page lists the tool set and client setup.

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. The hosted, instance, and local code graph comparison covers where a graph endpoint sits next to other MCP servers.

Private code

Context7 covers more than public libraries. Pro and Enterprise plans add private sources: GitHub, GitLab, and Bitbucket repositories, other Git repositories by URL, Confluence spaces, and OpenAPI specs, parsed into the same documentation-and-snippets index as public ones (Add Private Sources). What that parses your repo into matters: the output is still documentation and code examples, with optional LLM-generated docs for repositories that have little written documentation. 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. Context7's docs state that private libraries must be refreshed manually from the library page, and its plans page bills parsing at $5 per 1M tokens when you add or refresh a private repository, with cached pages free (Keeping Libraries Fresh, Context7 plans). 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. It is also a different privacy posture: Symvanta parses repositories on its own infrastructure by default, with customer-managed encryption keys on Pro and Enterprise and an on-prem bundle on Enterprise (Symvanta pricing).

Pricing, published 2026-09-21

These are Context7's published list prices and limits, not estimates. The plans page markets Pro as "unlimited API calls" on the card while the comparison table and FAQ describe the metering below, so read the table before budgeting.

• Free, $0: public repositories, access control, OAuth 2.0, and 1,000 API calls per month. After the limit, free users are blocked, with 20 bonus calls granted per day until the month resets.
• Pro, $10 per seat/month: private repositories, team collaboration, and 5,000 API calls per seat per month. Pro users are never blocked; calls beyond the allocation bill at $10 per 1,000. Private repository parsing bills at $5 per 1M tokens on add or refresh. Allocations are per seat and do not pool across a teamspace.
• Enterprise, custom: small teamspaces start at $30 per user/month, larger organizations can go as low as $2.50 per user/month, with annual discounts available. Every Enterprise tier includes 5,000 API calls per seat per month, then $10 per 1,000, and private parsing at $5 per 1M tokens. The plans FAQ lists SOC-2, SSO (SAML / OIDC), self-hosted deployment, up to 5,000 members per teamspace, and up to 100 teamspaces. Teamspaces up to 50 members can self-serve without sales.

Sources: Context7 plans and plan comparison. Symvanta's published plans are simpler: Starter $19 per month, Pro $29 per user/month, and Enterprise $99 per seat/month with a 15-seat minimum, with a 7-day free trial on Starter and Pro and no credit card (Symvanta pricing). The unit of value differs, so the numbers do not line up directly: Context7 meters documentation API calls and charges for private parsing, Symvanta charges for a seat that can query the graph.

MCP support

Both are MCP-native. Context7's docs state that its MCP server supports all MCP clients, with configuration examples for 30+ clients, including Claude Code, Cursor, VS Code, Codex, OpenCode, Claude Desktop, ChatGPT connectors, Kiro, Roo Code, Kilo Code, Devin Desktop, and Google Antigravity (MCP Clients, upstash/context7). Remote connections use https://mcp.context7.com/mcp with an API key, or https://mcp.context7.com/mcp/oauth for clients that implement the MCP OAuth specification; local connections run the stdio server through npx.

Symvanta is a hosted MCP endpoint with OAuth 2.0 PKCE, URL-based, working with Claude Code, Cursor, Windsurf, VS Code, Claude Desktop, and any MCP client, with a scoped API credential for CI runners and cloud agents that cannot complete an interactive login (Symvanta MCP).

Enterprise, self-hosting, and security

Context7's enterprise documentation describes SOC 2 Type II compliant infrastructure operated by Upstash, encryption at rest and in transit (TLS 1.2+), VPC isolation, role-based access control, DDoS protection, 24/7 monitoring, GDPR compliance, SSO through SAML 2.0, OAuth 2.0, and OIDC, and ISO 27001 certification in progress (Context7 Enterprise, Security). The same docs state that enterprise customers can disable query storage, use their own LLM provider, and limit retrieval to privately indexed documentation. These are vendor claims, published on Context7's own pages; the certifications themselves are listed at the Upstash Trust Center.

Self-hosting exists on Enterprise. The on-prem bundle runs the parsing and indexing pipeline inside your infrastructure with local vector storage, a built-in MCP server, a REST API, and private GitHub and GitLab ingestion, and it can use your own LLM and embedding provider (OpenAI, Anthropic, Gemini, AWS Bedrock, or a custom OpenAI-compatible endpoint). Deployment is Docker or Kubernetes, and Context7 offers a 30-day trial license (On-Premise Deployment).

Symvanta's security surface is documented on its pricing page: customer-managed encryption keys on Pro and Enterprise, and on Enterprise, on-prem and self-hosting, SCIM directory sync, enforced two-factor authentication, audit logs, bring-your-own-LLM, and a dedicated SLA.

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. Start with the Symvanta MCP endpoint and a free trial.

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, and the manual-refresh model for private sources is a reasonable trade for internal libraries that change on a release cadence rather than on every commit.

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.

Frequently asked questions

Sources

• upstash/context7 README: product description, MCP tools, CLI mode, MIT license, private backend disclaimer
• Context7 plans and plan comparison: current prices, call limits, private parsing rates, Enterprise FAQ
• Keeping Libraries Fresh: public refresh thresholds, private library manual refresh
• Add Private Sources: supported private source types, refresh and billing behavior
• MCP Clients: supported clients, OAuth endpoint, API key and stdio setup
• Context7 Enterprise and Security: compliance and data handling claims
• On-Premise Deployment: self-hosted architecture and trial
• Symvanta MCP endpoint, published plans, and the code graph MCP server comparison

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