Sourcegraph
The context layer for your entire codebase: code search, code intelligence and MCP context for agents and developers.
By Sourcegraph · 4.2/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprises with very large multi-repo or monorepo codebases (hundreds to thousands of repositories) across several code hosts
- Platform, DevEx and security teams that need exhaustive cross-repo code search, audits and vulnerability remediation
- Engineering orgs rolling out AI coding agents that need accurate, permission-aware codebase context
- Teams executing large-scale migrations, modernisations or coordinated refactors across every repository
- Organisations that require self-hosted or single-tenant deployment with enterprise SSO, SCIM and RBAC
Ideal size: 100–5,000 engineers people · Enterprise or scale-up with a platform/DevEx team and a large multi-repo codebase
Not for
- Small teams or single-repo projects where a lightweight IDE search or code-completion tool is enough
- Buyers who want published self-serve pricing and same-day signup
- Teams without a platform or DevOps function to run deployment, code-host connections and indexing
- Companies looking primarily for an AI code-writing assistant rather than codebase context and oversight
Value metrics scorecard
Time-to-Value
2–6 weeks
~30 days to first production value
Total Cost of Ownership
On request
Enterprise, quote-based annual contracts; no public list price. AI features are metered in Sourcegraph credits included per user, with org-wide pooling.
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- Volume credit buckets for AI features (add-on, price not published)
- Premium support (optional)
- Customer success manager (optional)
Company & support
Who is behind Sourcegraph, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsPlan not stated
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Pricing page lists 24x5 support with optional premium support and an optional customer success manager; the homepage cites dedicated Account Managers and Support Engineers. The 24x7x365 monitoring on the security page covers infrastructure, not customer support.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Sourcegraph sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Sourcegraph
- Mambu
- ShipHero
- CentralSquare
- Kaseya VSA
- MeridianLink
Add or change companies
Up to 10 companies including Sourcegraph. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Sourcegraph ships in AI, and what it asks of your ecosystem.
AI features shipped
Deep Search answers natural-language questions about the codebase and returns grounded answers with citations; Agentic Batch Changes uses an AI agent to plan and execute changes across repositories; Code Finder is an agentic search tool inside the MCP server. AI features consume Sourcegraph credits.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Sourcegraph is a code intelligence platform for very large codebases. It indexes repositories across all major code hosts to provide exact code search, cross-repo navigation, AI Deep Search answers, and Agentic Batch Changes that run migrations and security fixes at scale. Its MCP server supplies precise codebase context to coding agents such as Claude Code, Cursor and Codex, cutting retries and inference cost. Available as single-tenant cloud or self-hosted; used by 200+ enterprise engineering teams including Stripe, Coinbase, Lyft and Leidos.
Frequently asked questions
How is Sourcegraph priced, and what do AI features cost?
Sourcegraph does not publish list prices; enterprise contracts are quoted. AI features are metered in Sourcegraph credits that are included per user, pooled org-wide, and do not expire monthly, with purchased credit buckets rolling over on renewal. Higher-volume credit buckets, premium support and a customer success manager are optional add-ons.
How does Sourcegraph work with our AI coding agents?
Sourcegraph ships an MCP server built on the open Model Context Protocol. It gives MCP-aware agents such as Claude Code, Cursor, Codex and Amp search, file and repository retrieval, go-to-definition, find-references, diffs, commit history, ownership signals and Deep Search, plus Code Finder, an agentic search tool that returns matching file paths and line ranges in one call. Sourcegraph cites Stripe using it to ground its internal agent fleet.
Can we keep our source code inside our own infrastructure?
Yes. Sourcegraph offers self-hosted deployment in addition to single-tenant cloud on Google Cloud. Self-hosted instances do not send customer code to other servers, and Sourcegraph employees have no access to the instance or its data unless it is explicitly shared for troubleshooting. Authentication via SAML, OAuth, OpenID Connect and SCIM, plus RBAC, is configurable for enterprise control.
What security and compliance evidence can we review?
The security page documents segregated Google Cloud environments, encryption in transit and at rest, least-privilege and just-in-time access, 24x7x365 monitoring and incident response, annual third-party penetration tests, container and CVE scanning, and a shared responsibility model. Sourcegraph's site also states SOC 2 Type II and ISO 27001 compliance; buyers should request the current reports under NDA.
Does Sourcegraph train AI models on our code?
Sourcegraph states zero data retention for LLM inference: it is never stored beyond what is required and never shared with third parties, and self-hosted instances send no customer code off-site. Sourcegraph's public pages do not state whether customer content is used to train models, so confirm that point contractually before rollout.
How quickly can we get to production value?
Sourcegraph does not publish an implementation timeline. Production value depends on connecting your code hosts, completing indexing across repositories, and configuring authentication and permissions. Plan in weeks rather than days, and pilot on a subset of repositories before rolling out to every engineering team.