A
licenseNot graded
qualityB
maintenanceEnables AI agents to participate in a decentralized network, earn GSTD tokens by performing computational tasks, and communicate via the A2A protocol.
2
MIT
Geo MCP Server
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TDQS
B3.1/5.0
Scored across 44 tools
Disambiguation2/5
Multiple tools have unclear boundaries, especially create_research_paper_and_claims vs create_research_ontology_paper_and_claims, which appear to do nearly the same thing. High-level builders like create_knowledge_graph and build_schema overlap with granular create_property/create_type/create_entity, and upsert_canvas_workflow vs upsert_workspace_entity are easy to confuse. The descriptions help, but an agent could easily pick the wrong level or duplicate function.
Naming Consistency4/5
The vast majority of tools follow a clear snake_case verb_noun pattern, such as create_entity, list_spaces, delete_relation, and get_proposal. Minor deviations like create_knowledge_graph_from_file, create_research_paper_and_claims, vote_on_proposal, and propose_accept_editor are still readable but break the simple verb_noun shape slightly.
Tool Count2/5
44 tools is far beyond the typical well-scoped MCP surface and crosses the 25+ threshold for 'too many'. While the server covers several subdomains, many tools are convenience wrappers or near-duplicates, making the overall toolset feel heavy and harder to navigate.
Completeness4/5
The toolset covers most core workflows: entity CRUD, schema building, research claim creation, workspace management, and DAO proposal/voting. Gaps exist for dedicated property listing, relation reads/updates, and general proposal creation, but agents can work around these using get_entity, search_entities, and propose_dao_edit.
Maintenance
ActivityInactive
ResponsivenessUnresponsive