"Exploration of the term '.core' and its references" matching MCP servers:

A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.

Enables AI agents to search and read 1C:ITS portal subscription materials, such as development standards, platform documentation, and configuration guides, returning content as Markdown with source links.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

A self-hostable, multi-MCP personal-assistant framework with multi-provider LLM orchestration, a real safety model, and a production-grade test suite. Nexus Core is the engine behind a Telegram-based personal assistant: it takes a message (text or voice), routes it through an LLM, lets the model call tools exposed by a fleet of Model Context Protocol servers, gates anything destructive behind exp

A generic X/bookmark intelligence MCP core for ingesting, enriching, and retrieving bookmarks with semantic search, brief generation, and academic paper scanning, exposed as MCP tools.

An MCP filesystem telemetry server that watches directories and records every file change with SHA-256 hashes, enabling verification of edits through tools like recent_changes and query_events, with multi-project support and idle suspension.

Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.

MCP server providing structured continuity memory for AI coding agents, tracking decisions, open loops, and session state in local SQLite. Enables agents to resume work from verified state across sessions without replaying transcripts.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

Outcome-based persistent memory for AI coding tools.

An MCP server that gives AI coding assistants persistent memory across sessions with chain-based project tracking, tickets, and structured handoffs.

An MCP server that provides safe, read-only access to Boston's open data portal, enabling natural language exploration of civic datasets.

Provides shared MCP-server machinery for Flask apps, including streamable HTTP transport, token-based auth, caller identity resolution, tool registry with permissions, and audit logging, enabling developers to build consistent and secure MCP servers.

Enables MCP clients like Claude to securely read your own Cronometer nutrition and biometric data using your account credentials, with read-only access and optional human-readable output.

Local-first personal cognitive engine that provides MCP tools for managing relationships, conversations, agenda, and memory, powered by Ollama.

Enables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.

A local capability layer for AI agents providing persistent memory, credential management, connectors, and activity tracking.

Provides coding agents with file inventory, ranked search, location-aware reading, code packing, and note writing over the workspace folder through MCP, without involving a model.