R2 Log Analyzer Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited R2 Log Analyzer Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A remote MCP server that lets you analyze HTTP request logs and WAF/Firewall event logs stored in Cloudflare R2 using natural language via MCP clients such as Claude Desktop.
Runs on Cloudflare Workers with Cloudflare Access OAuth authentication, automatic gzip log decompression, and WAF Payload Logging (encrypted_matched_data) decryption.
.log.gz files output by Logpushflowchart LR
Client["🤖 MCP Client<br/>(Claude / Cursor / Windsurf)"]
Access["🔐 Cloudflare Access<br/>(OIDC IdP)"]
subgraph Worker["☁️ Cloudflare Worker — R2 Log Analyzer MCP Server"]
direction TB
DO["🧠 Durable Object (McpAgent)<br/>• Log query / analysis<br/>• Streaming aggregation<br/>• gzip decompression<br/>• WAF payload decryption"]
OAuth["🔑 OAuth Provider<br/>(state & PKCE)"]
end
HTTPLogs[("📊 R2 Bucket<br/>HTTP Request Logs")]
WAFLogs[("🛡️ R2 Bucket<br/>WAF / Firewall Logs")]
KV[("🗝️ KV Namespace<br/>OAUTH_KV")]
Logpush["📤 Cloudflare Logpush"]
Client <-->|"OAuth 2.1 + PKCE"| Access
Client <-->|"MCP Protocol (SSE)"| Worker
DO -->|"list / get (parallel x16)"| HTTPLogs
DO -->|"list / get (parallel x16)"| WAFLogs
OAuth <--> KV
Logpush -.->|"ndjson.gz"| HTTPLogs
Logpush -.->|"ndjson.gz"| WAFLogs
classDef client fill:#e0f2fe,stroke:#0284c7,color:#0c4a6e
classDef access fill:#fef3c7,stroke:#d97706,color:#78350f
classDef worker fill:#ede9fe,stroke:#7c3aed,color:#4c1d95
classDef storage fill:#dcfce7,stroke:#16a34a,color:#14532d
classDef pipeline fill:#f1f5f9,stroke:#64748b,color:#0f172a
class Client client
class Access access
class DO,OAuth worker
class HTTPLogs,WAFLogs,KV storage
class Logpush pipeline| Tool | Description |
|---|---|
list_log_files | List log files in an R2 bucket |
query_http_logs | Search and filter HTTP request logs |
query_firewall_logs | Search and filter WAF firewall event logs (with automatic payload decryption) |
analyze_http_traffic | Top-N analysis of HTTP traffic (by IP, country, path, status code, etc.) |
analyze_waf_events | Top-N analysis of WAF events (by action, rule, source, attacker IP, etc.) |
get_log_entry | Retrieve details of a specific log entry by RayID |
read_raw_log_file | Read a raw log file directly from R2 |
decrypt_waf_payload | Decrypt an individual WAF encrypted payload (encrypted_matched_data) |
git clone https://github.com/takaakisuzuki/r2-log-analyzer-mcp.git
cd r2-log-analyzer-mcp
npm installnpx wrangler kv:namespace create "OAUTH_KV"Set the output ID in kv_namespaces[0].id in wrangler.jsonc.
Set your Logpush destination R2 bucket names in the r2_buckets section of wrangler.jsonc.
"r2_buckets": [
{
"binding": "HTTP_LOG_BUCKET",
"bucket_name": "<your-http-logs-bucket>"
},
{
"binding": "WAF_LOG_BUCKET",
"bucket_name": "<your-waf-logs-bucket>"
}
]Note: Separate buckets may be created for each Logpush dataset. Verify in Cloudflare Dashboard > Analytics & Logs > Logpush.
Go to Cloudflare Zero Trust Dashboard > Access > Applications and create a SaaS Application.
openid, email, profilehttps://r2-log-analyzer-mcp.<your-subdomain>.workers.dev/callbackhttp://localhost:8788/callbackNote the following values after creation:
npx wrangler secret put ACCESS_CLIENT_ID
npx wrangler secret put ACCESS_CLIENT_SECRET
npx wrangler secret put ACCESS_TOKEN_URL
npx wrangler secret put ACCESS_AUTHORIZATION_URL
npx wrangler secret put ACCESS_JWKS_URL
npx wrangler secret put COOKIE_ENCRYPTION_KEY # Generate with: openssl rand -hex 32npm run deployEnable WAF Payload Logging to encrypt and log the content of request bodies that match WAF rules.
#### Generate a Key Pair
Generate a key pair via Cloudflare Dashboard > Security > WAF > Managed rules > target ruleset > Configure payload logging, or use matched-data-cli:
cargo install matched-data-cli
matched-data-cli generate-key-pair#### Set the Private Key
npx wrangler secret put MATCHED_PAYLOAD_PRIVATE_KEY
# Enter the generated private key (base64-encoded)Register the public key in the Managed Ruleset payload logging settings in the Cloudflare Dashboard.
Once configured, Metadata.encrypted_matched_data will be recorded in logs when a WAF rule matches request body content, and this MCP server will automatically decrypt it.
# Set secrets in .dev.vars
cat > .dev.vars << 'EOF'
ACCESS_CLIENT_ID=<your-client-id>
ACCESS_CLIENT_SECRET=<your-client-secret>
ACCESS_TOKEN_URL=<your-token-url>
ACCESS_AUTHORIZATION_URL=<your-authorization-url>
ACCESS_JWKS_URL=<your-jwks-url>
COOKIE_ENCRYPTION_KEY=<random-hex-string>
MATCHED_PAYLOAD_PRIVATE_KEY=<optional-private-key>
EOF
# Start the development server
npm run devTest the connection with MCP Inspector:
npx @modelcontextprotocol/inspector@latest
# URL: http://localhost:8788/sseGo to Settings > Developer > Edit Config and add the following:
{
"mcpServers": {
"r2-log-analyzer": {
"command": "npx",
"args": [
"mcp-remote",
"https://r2-log-analyzer-mcp.<your-subdomain>.workers.dev/sse"
]
}
}
}On the first connection, a browser window will open showing the Cloudflare Access authentication screen.
Type: command, Command:
npx mcp-remote https://r2-log-analyzer-mcp.<your-subdomain>.workers.dev/sseYou can query your MCP client (e.g., Claude Desktop) like this:
Analyze today's WAF firewall event logsShow me the IPs with the most 403 status codes in yesterday's HTTP trafficShow details for RayID 9dd222669c879d35What are the most common attack patterns in this week's WAF blocks?src/
├── index.ts # Main entry point, MCP tool definitions
├── access-handler.ts # Cloudflare Access OAuth handler
├── matched-data.ts # WAF payload decryption (HPKE)
└── workers-oauth-utils.ts # OAuth/CSRF/PKCE utilitiesWhen configuring Logpush to R2, using separate prefixes makes management easier:
http_requests/{DATE}/firewall_events/{DATE}/If you use WAF payload decryption, make sure to include the Metadata field in your Logpush job data fields.
| Field | Description |
|---|---|
EdgeStartTimestamp | Request received timestamp |
ClientIP / ClientCountry | Client information |
ClientRequestHost / ClientRequestMethod / ClientRequestPath | Request details |
EdgeResponseStatus / OriginResponseStatus | Response status |
CacheCacheStatus | Cache status |
SecurityAction / SecurityRuleID | Security action |
BotScore / BotScoreSrc | Bot detection score |
WAFAttackScore / WAFSQLiAttackScore / WAFXSSAttackScore | WAF attack scores |
RayID | Request ID |
| Field | Description |
|---|---|
Datetime | Event timestamp |
Action | Action taken (block, challenge, log, etc.) |
ClientIP / ClientCountry | Client information |
ClientRequestHost / ClientRequestMethod / ClientRequestPath | Request details |
Description | Rule description |
RuleID | Rule ID |
Source | Security product (firewallManaged, firewallCustom, etc.) |
Metadata | Metadata (encrypted_matched_data, ruleset_version, etc.) |
LeakedCredentialCheckResult | Leaked credential check result |
RayID | Request ID |
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.