Code search across repositories
Search code across large and fragmented codebases with literal, keyword, regex, and symbol search, plus commit and diff search for code history.
Sourcegraph helps enterprise teams and AI agents understand and work with complex codebases.
Sourcegraph is a code understanding platform for enterprise engineering teams. Its public site presents the product as a way to give humans and AI agents complete context for understanding, overseeing, and evolving large codebases.
The product combines code search, code navigation, Deep Search, code insights, monitoring, batch changes, and MCP-based agent access. The overall focus is on helping teams work across many repositories, trace changes over time, and keep large systems understandable as they grow.
Search code across large and fragmented codebases with literal, keyword, regex, and symbol search, plus commit and diff search for code history.
Jump to definitions, references, and symbols with browser-based code navigation powered by semantic indexing and search fallbacks when precise index data is unavailable.
Ask natural-language questions and get grounded answers with citations, plus visibility into the repositories, searches, files, commits, and diffs used.
Roll out changes across many repositories with batch changes, supporting large-scale refactors, vulnerability fixes, and coordinated updates.
Track migrations, adoption, and risk over time with code insights and monitoring, including alerts through channels such as Slack, PagerDuty, Email, Jira, and Webhook.
Expose code intelligence to agents through MCP, APIs, and CLI access, with support for tools such as Claude Code, Cursor, Amp, and Codex.
Search across many repositories to find exact matches, understand where code is used, and inspect changes by commit or diff when investigating a question.
Ask a complex question in natural language and review grounded answers with citations, along with the files, commits, searches, and diffs that informed the result.
Use the browser-based navigation, symbol search, and cross-repository resolution to move through unfamiliar systems without relying on local IDE context alone.
Roll out a refactor or vulnerability fix across many repositories with batch changes, then use monitoring and insights to watch for downstream impact.
Connect AI coding tools and agents to Sourcegraph’s code intelligence through MCP so they can retrieve better context while working on enterprise codebases.
Sourcegraph’s public pages describe it as a code understanding platform for enterprise teams. It indexes repositories, supports code search and navigation, and adds tools such as Deep Search, batch changes, code insights, monitoring, and an MCP server for AI agents.
The pricing page lists an Enterprise plan starting at $16K and says it includes credits for AI features, with contact-sales pricing and volume pricing available. The site also references a demo and plans information, but does not show a free tier in the provided source.
The site highlights Single-tenant cloud and Self-hosted deployment options, along with enterprise admin and security controls. It also mentions SSO, SCIM, and RBAC on the home page.
The MCP page says Sourcegraph MCP works with MCP-compatible agents and environments, and names Claude Code, Cursor, Amp, and Codex. The pricing page also says MCP Server, API, and CLI access are included.
The source describes Sourcegraph as useful for software engineers, engineering managers, security, infrastructure, devops, design, product, customer support, customer success, and account executives. The common theme is needing grounded context from large, changing codebases.
Traffic data is for reference only.
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