Signal Foundry MCP

Signal Foundry watches competitor pricing pages so product teams can spend less time copying numbers between tabs. Ask a plain language question, let the MCP tools collect the source, and keep useful pricing plans in SQLite for the next question.

What it does

• Scrapes pricing pages through Firecrawl and saves markdown and HTML.

• Records source details so saved pages can be found by provider, URL, or domain.

• Uses Claude through Vocareum to decide which MCP tool should run and to explain results clearly.

• Extracts supported pricing details into SQLite for fast follow up questions.

• Shows recent plans with show data.

Related MCP server: UsageWall

How the pieces work

Question in terminal
        ↓
Claude client and MCP tool loop
        ↓
Scraper server  →  saved page files and metadata
        ↓
Pricing extractor  →  SQLite MCP server
        ↓
Clear comparison answer

Think of the system as a small research desk. The scraper gathers the page, the database keeps the useful notes, and Claude turns those notes into an answer.

Setup

1. Install Python 3.11 or later, Node.js, and uv.

2. Copy .env.example to .env, then add the Vocareum key and Firecrawl key. The supplied defaults route Claude through Vocareum. Leave them unchanged unless Udacity provides a different endpoint or model.

3. Install dependencies.

uv sync --all-groups

4. Start the client.

uv run python starter_client.py

The client starts the custom scraper, SQLite, and filesystem MCP servers from server_config.json.

Practical safeguards

Saved pages are reused for 24 hours, so a follow up question does not spend another Firecrawl credit. The scraper also supports force: true when a fresh page is needed. Short retries help with temporary network errors, while a failed provider does not stop the remaining sites from finishing. A saved DeepSeek comparison uses matching SQLite rows first, which keeps repeat questions quick and avoids another scrape.

Example prompts

scrape these sites: {'cloudrift': 'https://www.cloudrift.ai/inference', 'deepinfra': 'https://deepinfra.com/pricing', 'fireworks': 'https://fireworks.ai/pricing#serverless-pricing', 'groq': 'https://groq.com/pricing'}

Compare cloudrift ai and deepinfra's costs for deepseek v3

show data

Tests

uv run pytest

The test suite checks scraper persistence, cache refreshes, retrieval, MCP retries, database writes, Claude tool use, terminal data display, and a mocked scrape to answer workflow.

Limits

Pricing pages change often and providers may use different billing units. Signal Foundry reports only what a saved source supports and keeps the source URL with each scrape. Live runs need valid API keys and may use API credits.