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AWS Cost Explorer

This serverless MCP server implementation provides AI assistants with AWS Cost Explorer capabilities through a complete OAuth 2.0 authenticated infrastructure built on AWS Lambda, CloudFront, and Cognito. Built using TypeScript with AWS CDK for infrastructure as code, it features seven specialized cost analysis tools including cost and usage retrieval, forecasting, dimension discovery, and cost comparison drivers, all accessible through natural language prompts with proper filtering and grouping capabilities. The implementation includes custom streamable HTTP transport with Server-Sent Events for real-time communication, RFC-compliant OAuth 2.0 flows with dynamic client registration, and session management optimized for serverless environments, making it valuable for financial analysis workflows, cloud cost optimization, and building AI assistants that need programmatic access to AWS billing data without manual console navigation.

Cognium trust score

77%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/hteek/serverless-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve AWS Cost Explorer from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"