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Infrawise logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 6:46:55 PM

Infrawise

User RatingsBe the first to rate and review this MCP server!
View Repository21 GitHub StarsTotal stargazers on GitHub for the source repository (21 stars).Visit Website
awsinfrastructuredeveloper-toolsdatabasesmcp

Analyzes AWS infrastructure, code, and database schemas, then exposes findings and recommendations through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "sidd27-infrawise": {
      "command": "npx",
      "args": [
        "-y",
        "infrawise"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (22) Directory Badge Claim listing Alternatives☁️ More in Cloud Platforms

Overview

Sidd27/infrawise MCP server gives AI coding assistants deterministic context about AWS services, application code, and database schemas. It scans the project and configured AWS environment, builds an infrastructure graph, and serves the resulting analysis through MCP over stdio or HTTP. Its tools report configuration and security gaps, infrastructure relationships, query risks, and exact index definitions without returning database rows or secret values. Reach for it when an assistant needs verified infrastructure details while changing application code.

Use cases

•Inspect AWS service relationships before changing application code
•Find missing database indexes and generate concrete index statements
•Review Lambda triggers, event shapes, and IAM-related findings
•Check queues, topics, secrets metadata, and configuration gaps
•Give Claude Code or Cursor current infrastructure context

Key features

•Analyze AWS infrastructure and application code
•Build an infrastructure graph with findings
•Inspect database schemas without reading rows
•Generate DynamoDB and SQL index recommendations
•Report AWS service configuration and security details
•Serve MCP over stdio or HTTP

Capabilities & Tool Schemas (22) ~686 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Infrawise.

get_infra_overview

Complete snapshot — services, counts, high-severity findings, `configured` flag (data age and per-source status ride the `dataHealth` block on every response)

get_graph_summary

Full infrastructure graph — all nodes, edges, and findings

get_table_schema

Column-level schema for named tables/collections — types, PKs, FKs, indexes, DynamoDB keys/billing mode, cost signal (no row data)

analyze_function

Issues in a specific function — scans, missing indexes, N+1, trigger event shapes, missing IAM permissions; returns every same-named file as a separate match, or bind to one with the optional `file` input; names refused Lambda links and why (`unresolvedLambdas`)

suggest_gsi

Exact GSI config for a DynamoDB table + attribute — names the existing index instead when one already covers it

postgres_index_suggestions

Exact `CREATE INDEX` SQL for your actual table

How Infrawise works

What Sidd27/infrawise MCP server does

Sidd27/infrawise MCP server analyzes a codebase, AWS resources, and supported database schemas so an MCP client can query infrastructure facts instead of inferring them from source files. The analysis covers service relationships, Lambda usage, database access patterns, infrastructure findings, and selected configuration details.

Its responses can identify high-severity findings, data age, and per-source status through the dataHealth information. Database inspection is schema-level: table and collection names, columns, keys, foreign keys, indexes, and selected cost signals are available, but row data is not returned. Secrets Manager and SSM results expose names and metadata without secret or parameter values.

How it works

Run the command from the project directory. On first use, the CLI probes the environment and creates infrawise.yaml; when multiple AWS profiles are available, it asks which profile to use. It then scans AWS services, databases, and source code, writes an editor MCP configuration file, and connects the client to infrawise serve --stdio.

Analysis is cached for 24 hours. When the cache is stale, the stdio process refreshes it at session start. Changes to files are detected during a session and update the code graph automatically. An alternative HTTP transport is available at http://localhost:3000/mcp when the server is started with infrawise serve.

Setup and configuration

Node.js 22 or later is required. Install the npm package globally with npm install -g infrawise, or run it without a global installation using npx infrawise start --claude. The start command supports Claude Code, Cursor, and VS Code flags, and can also write a generic .mcp.json without opening an editor.

Claude Code uses .mcp.json, Cursor uses .cursor/mcp.json, and VS Code uses .vscode/mcp.json. These files are merged with existing MCP server entries. For a manually configured client, point the MCP command at infrawise serve --stdio --config /path/to/infrawise.yaml, replacing the path with the project’s actual configuration file.

Tools and capabilities

Sidd27/infrawise MCP server exposes tools for infrastructure summaries and graph inspection, including service counts, findings, nodes, and edges. Function analysis can report scans, missing indexes, N+1 patterns, trigger event shapes, missing IAM permissions, duplicate function-name matches, and Lambda links that could not be resolved.

AWS-specific tools cover SQS queues, API Gateway routes, SNS topics, Secrets Manager, SSM Parameter Store, Lambda functions, EventBridge rules, S3 buckets, CloudWatch error patterns, Cognito pools, Kinesis streams, MSK clusters, ElastiCache, and CloudFront distributions. Other tools return table schemas or index recommendations for DynamoDB, PostgreSQL, MongoDB, and MySQL. Recommendations include concrete GSI configurations, CREATE INDEX statements, createIndex commands, or MySQL ALTER TABLE statements.

Limitations and notes

Infrawise is an analysis and context layer, not an infrastructure provisioning tool, AI agent framework, observability platform, or cloud management dashboard. Its outputs are based on scanned code, infrastructure, and schemas, so stale caches and unresolved Lambda links should be considered when interpreting results. Secret values, parameter values, database rows, and cache data are not read or included in the described outputs.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
21
Stargazers on the source repository.
npm downloads
2.8k
Package downloads in the last 30 days.
Last commit
5d ago
Most recent push to the default branch.
Tools exposed
22
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Infrawise

Install Node.js 22 or later, then run `npm install -g infrawise`, or use `npx infrawise start --claude` without a global installation.

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Technical Specs & Signals

Category☁️Cloud Platforms
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
9/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars21
GitHub Star CountTotal stargazers on GitHub representing community popularity (21 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 6, 2026
npm downloads2,786/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
64Quality signal: Good · 64/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19d ago via OSV.dev · infrawise (npm)

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