diavgeia-mcp
MCP ServerFreeBrowse and search decisions published on Greece’s Diavgeia transparency portal. Filter results by multiple criteria to find relevant acts fast. Retrieve full details for a specific decision using its ADA identifier.
- Best for
- multi-criteria decision filtering, ada identifier-based decision retrieval, searchable decision database
- Type
- MCP Server · Free
- Score
- 42/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities3 decomposed
multi-criteria decision filtering
Medium confidenceThis capability allows users to filter decisions published on the Diavgeia transparency portal using multiple criteria such as date, type of decision, and issuing authority. It leverages a structured query interface that translates user input into database queries, enabling efficient retrieval of relevant acts. The architecture is designed to optimize search performance by indexing key fields, which makes filtering fast and responsive.
Utilizes a custom indexing strategy tailored for the specific fields of Diavgeia decisions, enhancing filter performance.
More efficient than generic search tools due to its tailored indexing for the Diavgeia dataset.
ada identifier-based decision retrieval
Medium confidenceThis capability enables users to retrieve full details of a specific decision using its unique ADA identifier. It works by querying the backend database directly with the ADA identifier, which is designed to be a unique key, ensuring fast and accurate lookups. The system architecture includes a caching layer that stores frequently accessed decisions, reducing latency for repeated queries.
Incorporates a caching mechanism specifically for ADA identifier lookups, significantly speeding up access to frequently queried decisions.
Faster than general-purpose retrieval systems due to its specialized caching for ADA identifiers.
searchable decision database
Medium confidenceThis capability provides a searchable database of decisions published on the Diavgeia portal, allowing users to perform keyword searches across all available documents. It employs full-text search capabilities with natural language processing to enhance the relevance of search results. The architecture supports advanced search features like stemming and synonym recognition, improving the user's ability to find relevant decisions.
Utilizes advanced NLP techniques for full-text search, distinguishing it from simpler keyword-based search implementations.
More effective than basic keyword search tools due to its integration of NLP for relevance ranking.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Open LLMs
A list of open LLMs available for commercial use.
Best For
- ✓government transparency advocates seeking quick access to public decisions
- ✓legal researchers needing precise decision details
- ✓citizens looking for specific governmental decisions
Known Limitations
- ⚠Performance may degrade with overly broad filters due to database load
- ⚠Limited to the fields indexed in the database
- ⚠Requires knowledge of ADA identifiers, which may not be intuitive for all users
- ⚠Limited to decisions that exist in the database
- ⚠Search results may include irrelevant documents if keywords are too broad
- ⚠Performance can vary based on the complexity of the search query
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
Browse and search decisions published on Greece’s Diavgeia transparency portal. Filter results by multiple criteria to find relevant acts fast. Retrieve full details for a specific decision using its ADA identifier.
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