Server Quality Checklist
- Disambiguation5/5
Each tool serves a distinct purpose in the integration lifecycle: discovery (list_tokens, get_token_feeds), integration support (get_contracts, get_integration_guide), monitoring (check_oracle_health, get_market_summary), and business info (get_pricing). Despite both health tools returning uptime data, their granularity differs clearly (per-token troubleshooting vs. system-wide overview).
Naming Consistency5/5Perfect consistency with verb_noun snake_case throughout: all seven tools follow the pattern (check_oracle_health, get_contracts, get_integration_guide, get_market_summary, get_pricing, get_token_feeds, list_tokens). No deviations in casing or verb style.
Tool Count5/5Seven tools strike an optimal balance for an oracle integration server—covering token discovery, feed inspection, contract addresses, integration code, health monitoring, and pricing without bloat. Each tool earns its place in the developer workflow.
Completeness4/5Covers the full oracle integration lifecycle well: discovery, technical integration (contracts + code), and reliability verification. Minor gap in operational tools (no update or management functions for existing integrations), but appropriate for a read-only oracle discovery service.
Average 3.8/5 across 7 of 7 tools scored.
See the tool scores section below for per-tool breakdowns.
This repository includes a README.md file.
This repository includes a LICENSE file.
Latest release: v0.2.5
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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This repository includes a glama.json configuration file.
- This server provides 7 tools. View schema
No known security issues or vulnerabilities reported.
This server has been verified by its author.
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- Confirm that the MCP server is working as expected.
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- Evaluate tool definition quality.
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If you are the author of the server, you simply need to authenticate using GitHub.
However, if the MCP server belongs to an organization, you need to first add glama.json to the root of your repository.
{
"$schema": "https://glama.ai/mcp/schemas/server.json",
"maintainers": [
"your-github-username"
]
}Then, authenticate using GitHub.
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How to add a LICENSE?
Please follow the instructions in the GitHub documentation.
Once GitHub recognizes the license, the system will automatically detect it within a few hours.
If the license does not appear on the server after some time, you can manually trigger a new scan using the MCP server admin interface.
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To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.