"Host Tracker MCP server endpoint" matching MCP servers:

Durable, local-first memory for AI coding agents over MCP — zero-dependency (pure Python + SQLite/FTS5), curated and semantically de-duped. Works with Claude Code, Codex and any MCP host, and you own the data as plain rows.

An MCP server that exposes the markdown issue tracker under .scratch/ as a queryable graph, letting agents see open, blocked, or takeable issues without re-parsing prose.

Official MCP server connecting hosts to a June knowledge graph for agent memory, search, and cited answers.

Agent-agnostic persistent memory backend. 13 MCP tools, Supabase + Jina embeddings, multi-profile isolation, semantic recall across sessions.

Enables listing and continuing conversations from Claude Code, Codex, Cursor, and GLM, allowing context handoff between tools by providing historical transcripts as context.

A single local MCP gateway for Neo4j that exposes both proxied generic Neo4j tools (schema, Cypher, GDS) and custom YAML-defined use-case tools behind one stdio endpoint.

A project tracker for teams of humans and AI agents that coordinates work through plain files (markdown and JSONL), providing an MCP server for agents and a CLI for humans.

Self-hosted issue tracker built for agent-driven development. One binary, SQLite storage, MCP-native, with a web UI, REST API, and CLI for the humans.

Brings Claude Code's context compaction to any MCP host, enabling agents to gauge context pressure, summarize history, re-hydrate files, and persist rules across session boundaries.

Enables MCP host agents to maintain a locally persisted dynamic personality and identity across sessions, context compaction, and sub-agents, with emotion- and drive-driven tone adaptation through nine MCP tools.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

Shared SQLite-backed, event-sourced memory for cooperating coding agents, with branchable investigations, auditable rollback, leases and fencing tokens. Runs on one host and exposes memory through MCP.

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

An MCP server that gives AI assistants persistent memory using an OpenAI vector store, enabling saving and semantic searching of text memories across sessions.

An open-source bitemporal knowledge graph that provides long-term memory for AI agents via a native MCP endpoint, enabling conflict-aware ingest and hybrid retrieval.

Enables connecting to CompanyGraph's mental-model as a remote MCP endpoint, allowing agents like Claude, ChatGPT, and Gemini to query the model's types, schemas, rules, and entities without authentication.

MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.

Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.

A persistent-memory MCP server for AI agents with an honest health endpoint that survives its store dying.

A git-backed MCP server that centrally manages AI agent skills, tools, and knowledge with role-based access, change requests, and a remote OAuth 2.1 endpoint.