"Combining MCP Server Aggregator" matching MCP servers:

Aggregates personal data from multiple sources (Claude Code sessions, GitHub, Dropbox, etc.) into a searchable SQLite store and exposes query capabilities via FastMCP for models.

Gives agents a stable interface for durable memory, combining exact, lexical, semantic, and graph search results.

Local-first, read-only Codex session aggregator that indexes multiple CODEX_HOME directories into a SQLite database and provides MCP tools for cross-project, archival, and sub-agent history queries.

Enables persistent memory management with semantic vector recall, BM25 keyword search, and 3-way fused retrieval combining lexical, semantic, and tag-based signals.

A neurosymbolic AI server combining Prolog’s symbolic reasoning with Model Context Protocol (MCP) for hybrid AI applications.

Enables a unified Graph-RAG memory layer combining vector similarity search via Qdrant with entity-relationship traversal via Kuzu, allowing memories to be stored, retrieved, and expanded along an entity graph.

Enables problem-solving using a structured wisdom framework inspired by the Lotus Sutra, combining analytical thinking with intuitive wisdom through multi-faceted contemplative approaches and meditation pauses.

Enables searching and browsing of Claude conversation history with hybrid search combining full-text, Spotlight, and optional vector embeddings.

MCP server for symbolic computation that enables AI agents to perform step-by-step derivations, transform formulas, and verify results with full provenance, combining natural language with formal mathematical operations.

An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.

An MCP server that provides AI agents with a governed wiki requiring human approval before any formal page update, combining structured knowledge management with safe, auditable writes.

Enables AI assistants to use Neo4j knowledge graphs and Qdrant vector databases for hybrid reasoning, combining structured facts with semantic search for advanced knowledge management, research analysis, and standardized coding workflows.

Provides AI agents and teams with self-hosted adaptive memory, combining hybrid search and a self-improving neural memory graph to enable precise recall and serendipitous discovery across MCP-compatible clients.

A local MCP server for Dungeons & Dragons campaign management, combining core runtime with skill and module-generation packs. It enables campaign creation, module generation and import, rule and skill searching via tools, resources, and prompts.

Enables high-throughput semantic query caching and approximate deduplication by combining exact SHA-256 matching, cosine similarity threshold checks, and LRU eviction.

Enables AI agents to query persistent, build-scoped evidence memory for reverse engineering, combining static analysis, runtime captures, and claims with honest uncertainty. Provides read-only access to an evidence graph and MCP prompts for structured investigations.

A production-friendly memory platform with an MCP server interface, combining structured memory, semantic retrieval, knowledge graph operations, cross-session context, and safety controls.

Enables Claude Code to automatically recall and write shared long-term memories stored as plain Markdown, combining BM25, vector, and link-graph hybrid search so relevant notes are injected on every prompt. Memories persist across sessions, projects, and machines, with status tracking for pending and resolved items plus optional end-of-session curation.

MCP server for on-device hybrid search over markdown knowledge bases, combining BM25, vector embeddings, and LLM reranking with link graph and time decay.

Enables persistent memory for AI agents, combining episodic and semantic memory with LLM reasoning, accessible via MCP.