"sage active" matching MCP servers:

Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.

This read-only MCP Server allows you to connect to Active Directory data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to Intacct data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI coding tools and developers to store, search, and supersede durable engineering discoveries with temporal validity, and to coordinate active work across sessions via MCP.

An MCP server that gives Claude a memory system modeled on the hippocampus using hyperdimensional computing, with features like surprise-gated writing, consolidation, and active forgetting.

Provides Claude Code with local-first multimodal semantic search across documents, code, images, and video, plus multi-engine web research with active counter-evidence hunting and source-verified, extract-only briefings.

Exposes Perplexity AI's search capabilities to Claude, enabling real-time web search and information retrieval within the assistant. The project is currently in active development with plans to support Perplexity Spaces and multi-source data synthesis.

Enables agents to view active beliefs, read owner-selected source text, submit inferred extraction for selected sources, and consult bounded choices from a local personal profile.

Enables AI agents to audit URLs or raw HTML for SEO, AEO, and GEO performance, generate llms.txt manifests, and check the tool version via MCP tools.

This read-only MCP Server allows you to connect to Azure Active Directory data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Hybrid semantic search (dense vector + BM25) over local knowledge bases and codebases, exposed as MCP tools for AI agents to search and list knowledge bases.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving active records and recent conversations, and performing semantic search over previously retrieved HubSpot data through built-in vector storage and caching.

Enables AI assistants to interact with HubSpot CRM data for creating contacts and companies, retrieving company activity, active contacts and companies, recent conversations, and performing semantic search across previously retrieved data with built-in vector storage and caching.

This MCP server replicates how a creative strategist gathers context by expanding queries and performing hybrid search against a Google Drive knowledge base, delivering structured, role-categorized context for ad copy and creative briefs.

BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.

Enables construction permitting teams to analyze portfolios of active permits by ranking risk, detecting day-over-day changes, identifying systemic bottlenecks, and generating daily executive action plans. Also supports single-permit readiness audits, missing-document reports, blocker explanations, resubmission checklists, and semantic search over municipal requirements.

Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.

Enables AI agents to perform fused hybrid search and reorganize documents, folders, and metadata in the SAGA document archive via MCP tools.

A central knowledge hub that connects AI tools to a unified 'Master Brain' with automated memory capabilities. It utilizes intelligent analysis to automatically capture and store key decisions, fixes, and learnings across various development environments.

Provides structured local memory for Claude Desktop, reducing token usage by over 95% through intelligent retrieval and layered storage.