santismm-knowledge
OfficialRelated Servers
Alternatives to santismm-knowledge
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceMCP server that exposes the knowledge base of the Cumplimiento Digital project, allowing AI agents to query KB entries, project status, endpoints, and glossary via MCP tools.-
- AlicenseNot gradedqualityCmaintenanceEnables LLM agents to query a structured knowledge library for search, explanations, related concepts, learning paths, examples, and cross-domain references via MCP.Apache 2.0
- AlicenseAqualityDmaintenanceProvides access to Agno framework documentation for AI agents, enabling search and retrieval of SDK references, API endpoints, code examples, and integration guides through MCP-compatible tools.73MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents and users to search a unified organizational knowledge warehouse, create and iterate on documents, manage folders and reviews, and curate shareable knowledge packs through any compatible MCP client.-
- AlicenseNot gradedqualityCmaintenanceProvides enterprise knowledge management capabilities via MCP, enabling semantic search across the knowledge base, retrieval of full documents by ID, and search over enterprise project cases.MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to retrieve permission-filtered document knowledge across organizations and knowledge bases, and to identify and expand business terms and typed object relationships through a unified MCP interface.MIT
TDQS
Scored across 41 tools
Tools are mostly partitioned by domain and by list/get/search/calculate/compare/assess patterns, and descriptions explicitly route between global and domain-specific searches. The main overlap is among search, search_all, search_articles and search_physical_ai, plus generic search vs list browsing, but the guidance is strong enough to avoid most misselection.
Uses a predictable snake_case verb_noun convention: list_*, get_*, search_*, calculate_*, compare_*, assess_*. Minor deviations such as bare search/search_all, recommend_model_for_profession and get_related are readable and do not seriously undermine consistency.
41 tools is high for a single MCP server; although the breadth reflects many federated domains, the surface exceeds the 25+ threshold and forces agents to choose among many list/get/search variants. Consolidation via generic domain parameters or grouped endpoints would improve usability.
Coverage is broad: browse/retrieve/search for core units, articles, benchmarks, labs, physical AI, Homeric atlas and claims, plus graph traversal and calculators. Minor gaps exist around model-level retrieval and invoking arbitrary Lab endpoints, but no major workflow dead ends.