RegressGuard
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RegressGuardcheck for regressions after my latest changes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RegressGuard
Before you commit, know what broke.
When an AI coding agent edits your app it can silently break an API contract — a removed field, a changed status code, a test that now fails — and still report success. RegressGuard records a known-good baseline and tells you (or the agent) exactly what regressed.
It is built to live inside the agent's own loop. RegressGuard ships as an MCP server, so agents like Claude Code and Cursor can verify their own work and self-correct before a human ever sees the diff — zero extra steps. The same engine also runs as a plain CLI for humans and CI.
# Agent-native (primary): the agent calls these as MCP tools in its loop
snapshot → check → status # see "Agent-native verification (MCP)" below
# Human / CI (also works): two commands, no test-writing, under 15 seconds
rg snapshot # record the known-good state
rg check # compare after edits — see what broke
Break → detect → fix → green. Reproduce it yourself: ./demo/demo.sh.
Install
macOS / Linux (recommended)
curl -fsSL https://raw.githubusercontent.com/Bharath-code/regressguard/main/install.sh | shHomebrew
brew install Bharath-code/tap/rgVerify
rg version # first line must say "RegressGuard"Have ripgrep installed? ripgrep also ships as
rg, and whichever comes first on PATH wins —rg checkcould silently run ripgrep instead of RegressGuard. Ifrg versiondoesn't say "RegressGuard", invoke the full path (e.g./usr/local/bin/rg). The pre-commit hook and GitHub Action already use absolute paths and are unaffected;rg doctorflags the collision.
Related MCP server: BumpGuard
Quickstart (3 minutes)
1. Initialize your project
cd your-project
rg initRegressGuard detects your test command, framework, and dev server URL automatically.
2. Record the baseline before your AI session
Make sure your dev server is running, then:
rg snapshotOutput:
Snapshot
OK Tests 42 passed, 0 failed 6.8s
OK Routes 6 captured, 2 skipped
OK Schemas 6 hashed
Saved:
.regressguard/snapshot.json
Next:
Ask your AI agent to make the code change, then run:
rg check3. Run your AI agent
Let Claude Code, Cursor, or Codex make its changes.
4. Check for regressions before committing
rg checkClean — safe to commit:
Check
OK No regressions detected
Tests 42 passed, 0 failed
Routes 6 unchanged
Timing within tolerance
Safe to commit.Regression found — commit blocked:
Check
X 2 regressions detected
Route Before After Change
GET /api/users schema schema schema
- role (string, removed)
+ age (number, added)
POST /api/user/update 200 500 status
Likely cause:
Auth/session behavior or routing changed during the last code edit.
Changed files since snapshot:
app/api/users/route.ts
internal/auth/session.go
Next:
rg check --verbose
git diff
Commit blocked.Exit code 1 on critical — works with git hooks and CI.
Git Hook (auto-protect every commit)
rg hook installNow rg check runs automatically before every git commit. When a critical regression is detected, the commit is blocked with a compact output:
RegressGuard pre-commit
X 1 regression detected
POST /api/user/update status changed from 200 to 500
Run:
rg check --verbose
Commit blocked. Use --no-verify only if you accept the risk.Bypass with git commit --no-verify only when you accept the risk.
Agent-native verification (MCP)
This is RegressGuard's primary mode. Instead of waiting for a human to run rg check, the AI agent calls it as a tool inside its own edit loop — so it catches and fixes regressions it just introduced, before handing the change back to you.
Start the server (stdio transport):
rg mcp serveRegister with Claude Code:
claude mcp add regressguard -- rg mcp serveRegister with Cursor (.cursor/mcp.json):
{
"mcpServers": {
"regressguard": { "command": "rg", "args": ["mcp", "serve"] }
}
}The agent then has three tools:
Tool | Purpose |
| Record the current passing state as the baseline |
| Compare current state against the snapshot; returns structured findings with severity |
| Sub-second health check (snapshot age, route/config/hook status) — no tests run |
Tool responses are the same machine-readable payload as rg check --json — see docs/json-contract.md. Every tool call is recorded to an append-only audit log under .regressguard/ (tool, status, duration, timestamp).
A typical loop: the agent edits code → calls check → reads the structured findings → fixes the regression → calls check again → only then reports done.
Commands
Command | Purpose |
| Configure RegressGuard for this project |
| Auto-configure and snapshot in one command |
| Record the current passing state |
| Compare current state against the snapshot |
| Sub-second health check (snapshot age, routes, hook) — no tests run |
| Show before/after diff for a specific route |
| Watch files and auto-run check on changes |
| Run the MCP server so AI agents can self-verify (see above) |
| Install the pre-commit git hook |
| Remove the git hook |
| Read a config value |
| Write a config value |
| Diagnose setup issues |
| Update rg to the latest version |
| Generate shell autocompletions (bash, zsh, fish) |
| Print version and build metadata |
Run rg <command> --help for flags, examples, and exit codes.
Configuration
Config lives in .regressguard/config.json (human-readable, git-ignoreable).
{
"version": 1,
"testCommand": "npm test",
"serverUrl": "http://localhost:3000",
"auth": {
"mode": "bearer",
"testToken": "your-test-token",
"headerName": "Authorization",
"prefix": "Bearer"
},
"ignoreFields": ["requestId", "traceId"],
"routes": [
{ "method": "GET", "path": "/api/health" },
{ "method": "GET", "path": "/api/users" },
{ "method": "GET", "path": "/api/admin", "skip": true }
]
}Auth modes: bearer (Authorization header), cookie (Cookie header), or omit for public routes only.
ignoreFields: Fields to exclude from schema comparison — useful for volatile app-specific values like requestId or traceId.
How it works
rg snapshotruns your test suite and hits each configured route. It records pass/fail counts, HTTP status codes, and a normalized schema hash for each response.rg checkreruns the same tests and routes, then diffs against the snapshot:CRITICAL: test suite newly failing, status code changed, response schema changed (e.g. field removed/added/changed)
WARNING: response time increased >200ms and >50% of baseline
PASS: everything within acceptable variance
Schema comparison automatically normalizes JSON payloads:
Default Dynamic Keys: Strips 16 common dynamic keys (
id,uuid,token,nonce,timestamp,createdAt,updatedAt,deletedAt,created_at,updated_at,deleted_at,sessionId,accessToken,refreshToken,expiresAt,expires_at) before hashing.Pattern Detection: Automatically detects ISO-8601 date strings, UUIDs, and JWTs, replacing them with generic type representations (
"date","uuid","token").User Customization: Respects custom
ignoreFieldsdefined in config.
This ensures the shape integrity of endpoints remains stable across runs even when database IDs and timestamps change.
A route whose only change is a non-blocking WARNING (e.g. a timing regression) is reported on its own line and is not counted in the "Routes: N unchanged" summary or in
summary.passedof--jsonoutput.
Known limitations
These are deliberate trade-offs in v1 — favoring zero false positives over exhaustive detection. They are on the roadmap, not accidental:
Test identity comparison is best-effort.
rg checkrecords failing test names (jest, vitest, bun, go test output) and flags a CRITICAL when a test that passed at baseline starts failing — even if the net failure count is unchanged. When names cannot be parsed from your runner's output (or the baseline predates name recording), it falls back to count comparison: a CRITICAL only when the number of failing tests increases. Pairrg checkwith your normal test runner in CI for exhaustive per-test assertions.Array schemas are inferred from the first element. The schema normalizer represents a JSON array's shape using its first element. If later elements have a different shape (heterogeneous arrays), that divergence is not reflected in the schema hash and will not be flagged.
Exit codes
Code | Meaning |
| Pass or warnings only — safe to commit |
| Critical regression detected — commit blocked |
| Usage, config, or runtime error |
Scripting and CI
# JSON output for scripts and agents
rg check --json | jq .status
# Verbose diagnostics on stderr (stdout stays clean JSON)
rg check --json --verbose
# Disable color for CI
NO_COLOR=1 rg checkGitHub Action — runs rg check on every PR and comments the findings:
- uses: Bharath-code/regressguard@v0
with:
server-command: npm run devSee action.yml for all inputs (version pinning, working directory, server URL).
Supported stacks (v1)
Frameworks: Next.js App Router, Express, Hono
Test runners: Vitest, Jest, Bun test, npm test
Package managers: npm, pnpm, yarn, bun
Auth: Bearer token, Cookie header, public routes
Python, FastAPI, and Django support is planned for v2.
Demo fixture
A minimal Next.js API fixture is included in fixtures/nextjs-app for demos and testing. See fixtures/README.md.
Open core
This repo — the CLI and MCP server — is free and MIT, forever. A hosted team layer
(cross-repo dashboard, history retention, compliance export) is scoped in
docs/paid-layer-spec.md. Anything that runs on one machine for
one repo stays free; the paid layer is strictly additive.
Changelog
See CHANGELOG.md for release history.
License
MIT — see LICENSE.
From the same developer as git-scope.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityAmaintenanceMCP server that lets coding agents test AI agents. Create YAML test cases, snapshot golden baselines, check for regressions, and generate visual reports all from inside Claude Code or any MCP-compatible tool. Works with LangGraph, CrewAI, OpenAI, Claude, Mistral, and any HTTP API.Last updated1033124Apache 2.0
- AlicenseAqualityAmaintenanceBumpGuard is an MCP server that tells your AI coding agent exactly which lines of your code break when you upgrade a dependency, and verifies AI-written code against the actually installed API.Last updated62MIT
- Alicense-qualityDmaintenanceMCP server that captures and recalls coding session memory (failures, decisions, diffs) for AI agents, enabling cross-agent continuity and preventing repeated mistakes.Last updated84MIT
- AlicenseAqualityCmaintenanceAn MCP server that helps catch context drift in AI coding agents by comparing actual code changes against the original request, allowing users to keep or roll back unintended additions.Last updated2MIT
Related MCP Connectors
Monitor MCP servers, API contracts and AI outputs for schema drift. Alerts on breaking changes.
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
Secure, user-owned long-term memory for AI agents over OAuth-protected remote MCP. Save, search, recall, update, and govern preferences, project context, decisions, and task state across ChatGPT, Claude, Copilot, IDEs, and CLIs.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Bharath-code/regressGuard'
If you have feedback or need assistance with the MCP directory API, please join our Discord server