okf-mcp
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- AlicenseNot gradedqualityBmaintenanceA local OKF-compatible knowledge engine for AI agents. Enables capturing agent conversations, hybrid semantic+keyword search, MCP serving to agents, interactive graph visualization, and OKF bundle export.Apache 2.0
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- AlicenseNot gradedqualityAmaintenanceServes folders of an Obsidian vault to AI agents over MCP as Open Knowledge Format bundles, letting them browse, search, read, graph and write draft notes with recorded provenance and checkable trust. Agents can propose changes, but only the user approves them, and stale or externally edited content is flagged rather than trusted.Apache 2.0
TDQS
Scored across 28 tools
Most tools have distinct purposes: list_types, list_tags, and list_relation_types each target different entities, while graph traversal tools (get_neighbors, find_paths, get_graph, get_subgraph) are clearly differentiated by scope. A few pairs like list_bundles and list_remote_bundles could cause minor confusion but descriptions clarify local vs remote.
Naming is inconsistent: some tools use a verb_noun pattern (list_types, get_concept) while others have a nonstandard 'okf_' prefix (okf_validate_concept, okf_list_proposals). Also, 'graph_summary' breaks the verb-first convention, and 'check_v02_migration' mixes letters and numbers. The mixed styles reduce predictability.
With 28 tools, the surface is quite large for what appears to be a read-only graph and validation server. While not extreme (≤50), it exceeds the typical comfortable range and many tools feel like minor variations on similar read/validate operations, suggesting the set could be consolidated.
The toolset covers reading, searching, validating, and exporting graph data, plus proposal listing/reading, but lacks any creation or update tools for concepts or bundles. Given the emphasis on validation and proposals, there is no direct 'create_concept' or 'submit_proposal' tool, leaving a notable gap in the complete authoring lifecycle.