"Understanding Code Execution" matching MCP connectors:

Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.

Path-scoped team memories, rules and skills for Claude Code, Cursor, Codex and other MCP clients.

The personal context layer for AI: your profile and files, read by any MCP client over OAuth.

Brainfile memory layer for Claude Code over MCP: free starter files + weekly freshness feed.

Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.

AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).

VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

Build financial models as code. Cloud execution, GSheets MCP, version control, collaboration.

Give your agents trusted access to a company's living documentation. Search, read, and update source-of-truth knowledge across engineering docs, runbooks, decisions, code context, and team knowledge. `https://falconer.com/mcp

Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search, auto-skills, knowledge graph, quantum-safe encryption. Works with Claude Code, Cursor, Windsurf, and any MCP client.

The high-surprisal facts AI models miss — an accurate, up-to-date understanding of world state.

Private persistent memory for Claude, ChatGPT & Gemini via MCP - semantic search, zero-code setup.

private by default journaling, self-understanding, reflective songs, books, playlists, insights.

Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.

Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp

Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server

Share context and questions between Claude instances — VS Code, claude.ai web, and mobile.

The Fireflies MCP Server enables AI tools to connect directly to meeting data from Fireflies.ai, providing access to meeting transcripts, summaries, action items, and insights without switching platforms. It includes capabilities for querying cross-meeting data for analysis (such as sales insights or product feedback), and a separate Documentation MCP Server that allows searching the Fireflies knowledge base for API references, guides, and code examples.