"Troubleshooting JavaScript Code" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
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.
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
- FalconerOAuthcom.falconer
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
- aictrlOAuthdev.aictrl
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.
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.
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
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.
Project memory, semantic code search, and grounded agent context.
Shared memory for AI coding agents. Save once, reuse from Cursor, Claude Code, Codex.
Persistent, governed institutional memory for Claude Code — specs, decisions, learnings.
Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
Provenance-tagged knowledge graph of AI/ML research: papers, citations, methods, code.
Shared memory for a team in Claude Code: what one person records, everyone has.
