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Glama

Stock Market Data MCP

Server Details

Real-time stock quotes, history, options chains, sector performance & screening for agents.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
FoundryNet/market-data-mcp
GitHub Stars
0

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Addedbrief_summary
  2. 1 tool update
    • Changeddaily_brief2 fields changed
      • changedInput schema / properties / payment_tx / description
        Previous value: -"Solana tx signature, when re-calling after a 402."New value: +"Solana tx signature, when re-calling after a 402 (x402 rail)."
      • addedInput schema / properties / stripe_token
        Added value: +{
        +  "anyOf": [
        +    {
        +      "type": "string"
        +    },
        +    {
        +      "type": "null"
        +    }
        +  ],
        +  "default": null,
        +  "description": "Stripe Checkout Session id (cs_…), when re-calling after\npaying the Stripe payment link (alternative to x402). Can also be\nsupplied via the X-Stripe-Token header."
        +}
  3. 8 tool updates
    • First observedbatch_quote
    • First observeddaily_brief
    • First observedmint_info
    • First observedoptions_chain
    • First observedprice_history
    • First observedquote
    • First observedscreener
    • First observedsector_performance

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct market data resource: single quotes, batch quotes, price history, options chains, sector performance, screener, and market briefs. The only potential overlap is quote/batch_quote, but they are clearly differentiated by single vs. batch, and brief_summary vs. daily_brief by depth. No ambiguity in purpose.

Naming Consistency5/5

All tool names follow a consistent lowercase_with_underscores pattern and are primarily noun phrases (quote, price_history, sector_performance, etc.). There is no mixing of camelCase or inconsistent verb styles. The naming is predictable and readable.

Tool Count5/5

Nine tools is well within the ideal 3-15 range for a focused domain. Each tool covers a distinct aspect of stock market data without redundancy or unnecessary bloat, making the set well-scoped.

Completeness4/5

The server covers core market data needs: single/batch quotes, historical price, options chains, sector performance, and a screener, plus daily briefs. Minor gaps include lack of direct index quotes or fundamental data, but these are arguably outside the stated market-data scope. Overall, the surface is complete for typical tracking and analysis workflows.