agentdata-mcp
Server Details
Crypto market data for AI agents via x402. 16 tools: prices, funding, DeFi yields, arbitrage, TA.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- speteai/agentdata-mcp
- GitHub Stars
- 0
Glama MCP Gateway
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.8/5 across 16 of 16 tools scored. Lowest: 1.9/5.
Each tool has a clearly distinct purpose targeting specific crypto market data aspects like arbitrage, prices, yields, sentiment, or technical indicators. There is no overlap in functionality; for example, get_crypto_prices focuses on real-time prices, while get_technical_indicators provides analysis metrics, preventing agent confusion.
All tool names follow a consistent 'get_' prefix with descriptive nouns (e.g., get_arbitrage_opportunities, get_base_activity), using snake_case uniformly. This predictable pattern makes it easy for agents to understand and navigate the toolset without naming conflicts.
With 16 tools, the count is slightly high but reasonable for a comprehensive crypto data server covering diverse aspects like arbitrage, yields, sentiment, and technical analysis. It avoids being overwhelming by maintaining clear scopes, though it borders on the upper limit of typical well-scoped sets (3-15 tools).
The toolset provides complete coverage for crypto market data analysis, including real-time prices, historical data, arbitrage, yields, sentiment, technical indicators, and risk metrics like liquidation levels. There are no obvious gaps; agents can perform end-to-end analysis without dead ends in this domain.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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