Skip to main content

Automatically discover and document web application APIs

Project description

Spectral

Install · Why Spectral · How it works · Documentation

Browse any website or mobile app normally. Spectral observes what you do, figures out the meaning behind each API call, and builds MCP tools that let AI agents use the same app.

Spectral demo — analyze traffic, then Claude uses the API

Why Spectral

Most apps — web, mobile, desktop — sit on top of undocumented HTTP APIs. Spectral records the traffic while you browse, uses an LLM to understand what each call does, and generates MCP tools that any AI agent can call.

  • Works everywhere. Websites, mobile apps (Android), desktop apps, CLI tools — if it speaks HTTPS, Spectral can capture it.

  • Understands what you do, not just what the network sends. Spectral correlates your clicks and navigation with API calls to figure out the business meaning of each endpoint — not just its shape.

  • Tools that fix themselves. When a generated tool fails at runtime, the MCP server feeds the error back to an LLM and patches the tool automatically.

  • LLM at build time, not at runtime. The LLM is only used during analysis and self-repair. Once your tools work, every call is a direct HTTP request — fast, cheap, and deterministic.

  • Faster than browser automation. No headless browser, no fragile selectors, no waiting for pages to render. Spectral tools call the API directly, which is orders of magnitude faster and more reliable than controlling a browser with an agent.

  • Also generates API specs. Beyond MCP tools, Spectral can produce OpenAPI 3.1 specs from REST traffic and GraphQL SDL schemas from GraphQL traces — useful for documentation, code generation, or feeding other tools.

Install

The install script sets up Spectral, installs shell completions, and ensures your PATH is configured:

curl -LsSf https://raw.githubusercontent.com/romain-gilliotte/spectral/main/install.sh | bash

If you prefer managing packages yourself, you can install directly with pip or uv — but you will need to set up shell completions manually:

pip install spectral-mcp
# or
uv tool install spectral-mcp

You also need an Anthropic API key — Spectral will prompt for it on first analysis.

See the documentation for setup guides, capture instructions, and CLI reference.

How it works

  1. Capture — Chrome extension (web) or MITM proxy records traffic while you use the app
  2. Analyze — An LLM correlates your actions with API calls, infers endpoint patterns, and business meaning
  3. Authenticate — The CLI detects the auth flow and generates a login script. Run it once; the MCP server refreshes automatically
  4. Use — Start the MCP server. AI agents call the API directly

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spectral_mcp-0.3.0.tar.gz (98.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spectral_mcp-0.3.0-py3-none-any.whl (139.1 kB view details)

Uploaded Python 3

File details

Details for the file spectral_mcp-0.3.0.tar.gz.

File metadata

  • Download URL: spectral_mcp-0.3.0.tar.gz
  • Upload date:
  • Size: 98.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for spectral_mcp-0.3.0.tar.gz
Algorithm Hash digest
SHA256 19e912d86fcac00553e3fde1df4f0c4683695d79c2a04f74841065d96065274a
MD5 f89f727775d85ddc068dcb0e5f054ccc
BLAKE2b-256 3fb7b5994e688e738b9b82f3d87c19319795536b1e3ad37c6addb7f8072189d5

See more details on using hashes here.

Provenance

The following attestation bundles were made for spectral_mcp-0.3.0.tar.gz:

Publisher: release.yml on romain-gilliotte/spectral

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file spectral_mcp-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: spectral_mcp-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 139.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for spectral_mcp-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2572f46faace29eaa23cff646da3ac868abf3d9312a69b70712bf86d00abb482
MD5 3caadaed6bdba754f5848ab169143190
BLAKE2b-256 a5c398827d139680d13b0fbf6057df808d76894c993bdb98ee51021dfe4e6314

See more details on using hashes here.

Provenance

The following attestation bundles were made for spectral_mcp-0.3.0-py3-none-any.whl:

Publisher: release.yml on romain-gilliotte/spectral

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page