"Replicating ChatGPT Memory Functionality for Task Management and Skill Tracking" matching MCP servers:

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Enables MCP clients to send prompts anonymously to ChatGPT and receive the markdown answer plus the web sources it consulted as structured JSON. Requires only a HasData API key, with no OpenAI account, API key, or billing needed.

Semantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

Builds a personal knowledge graph from selected ChatGPT conversations (stored in Neo4j) and exposes it to Claude Code as an on-demand MCP search tool.

MCP ChatGPT Responses connects Claude to ChatGPT through two essential tools: standard queries for AI-to-AI conversations and web-enabled requests for current information. It uses OpenAI's Responses API to maintain conversation state automatically.

Enables AI agents to perform multi-engine web search, fetch web pages, and extract clean Markdown content via MCP, with no API keys required.

Hosted memory for AI agents that learns from outcomes, with shared rooms. One key across Claude, Cursor & ChatGPT.

A zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.

Provides access to OpenAI's ChatGPT API with web search capabilities for Claude and other MCP clients. Supports various GPT models with configurable parameters like reasoning effort, temperature, and streaming mode.

MCP server for persistent, semantic memory across AI sessions; store context, decisions, and learnings and recall them with natural language search.

MCP server for persistent, cross-session, local-first memory for AI agents, storing memories as Markdown files with SQLite indexing for hybrid search.

Nexus Memory gives every MCP-compatible agent one persistent, self-hosted shared memory with hybrid retrieval, drift detection, and anti-poisoning features.

Provides persistent memory, skill tracking, failure indexing, and context sharing for Claude Code using SQLite with FTS5 full-text search.

An MCP server for persistent session context, user preferences, project conventions, and indexed state, with features like full-text search, task management, and a web dashboard.

MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.

AI memory server with 53 tools. Knowledge Graph, semantic search, session tracking, multi-agent support.

MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.

Enables AI agents to semantically search and retrieve relevant skills from a local Markdown skill database, reducing context waste by loading only needed skills through tiered detail levels and tool calls.

Shared, live team memory for Claude — a remote MCP server on Cloudflare Workers + D1.