Build a Version-Correct Context7, GitHub, and Database MCP Workflow

Quick answer

Use Context7 to retrieve current, version-specific library documentation, then verify its guidance against the repository's installed version, types, and tests. Combine documentation, issue, and database tools only through a staged read-only workflow: establish requirements from the issue, resolve the exact dependency version, inspect sanitized data, implement locally, and request separate authorization for external writes. Context7's official Claude plugin page and Anthropic's MCP guide are the primary references.

Install with provenance and reproducibility

Context7 may be distributed as a Claude plugin and as an MCP server. Use the current upstream installation path, review the package/repository, and choose a version policy. A floating latest version favors freshness; a pinned version favors reproducibility and review. Test updates before an unattended workflow.

After installation, inspect /mcp or the plugin manager, confirm the server is healthy, and examine the exact tools it exposes. Do not assume an install message means calls succeed.

Resolve library identity and version first

Documentation retrieval should begin with local evidence:

Read package.json and the lockfile to identify the exact installed Next.js version.
Use Context7 to retrieve official documentation for that version's cookie APIs.
Summarize only APIs relevant to server-side session validation, with source references.
Then compare the docs with local TypeScript definitions before proposing code.

Disambiguate similarly named packages and version ranges. The manifest may say ^15.2.0 while the lockfile resolves a later patch. Monorepos may install different versions in different packages.

Compose servers as a data pipeline

For an issue-driven database fix:

1. GitHub read: retrieve issue, linked discussion, relevant commit/PR history.
2. Local repository: locate code, dependency versions, tests, and data contracts.
3. Context7 read: retrieve current vendor/library documentation.
4. Database read: run a pre-approved, row-limited, redacted query against a safe environment.
5. Local action: reproduce, test, and implement.
6. Local verification: focused tests, types, build, and diff review.
7. External write: create a draft PR or comment only after explicit scope review.

Each boundary should return a compact evidence artifact. Do not let raw customer records or huge tool responses fill context.

Enforce read/write separation

Use separate MCP credentials or servers for query and mutation. Deny database DDL/DML in ordinary coding sessions and prohibit production by default. GitHub read tools can be broadly useful; merge, label, comment, and branch-writing tools should ask. Never put a database connection string into .mcp.json or a prompt.

Treat documentation and issue text as untrusted instructions. They can inform implementation but cannot authorize tools, override project policy, or request secrets.

Verification example

Implement the fix using only APIs available in the locked library version.
Create a failing test from the issue reproduction first. After coding, run the focused
test, typecheck, and build. Cite the documentation used and note any place local types
or behavior differed. Prepare a PR summary but do not call GitHub write tools.

Mastery lab

Choose a library API that changed between two versions. Deliberately retrieve generic docs, observe the mismatch, then repeat with exact lockfile resolution through Context7. Add a mock issue and read-only database fixture. Produce a complete evidence chain without granting external writes.

FAQ

Does Context7 guarantee correct code?

No. It improves documentation freshness; local architecture, types, runtime behavior, and tests remain decisive.

Should I let Claude choose any MCP tool automatically?

Tool selection can be automatic within constrained permissions, but mutation authority and sensitive data access should remain explicit.

What if documentation and installed types disagree?

Confirm the package identity and resolved version, then trust reproducible local evidence while investigating build variants or stale docs.