"Information about Visual Studio Code (VSCode)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Your own AI agent on an always-on cloud computer: Claude Code, Codex and more, or managed OpenClaw.
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
KAI by Black Knight Technology is a neutral AI interoperability and commerce network connecting independent AI agents, tools, APIs, businesses, and marketplaces. KAI supports discovery, coordination, and collaboration across compatible standards, including MCP, A2A, HTTP APIs, and x402, without requiring participants to surrender ownership of their systems. Its public MCP server provides read-only information about the KAI network, supported standards, pricing, developer onboarding, and partic
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Get a real human to verify, decide, or improve an AI agent's work. Pay per review via x402 on Base.
Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Daski’s MCP server lets AI agents discover providers, evaluate offerings, and purchase real-world services with USDC on Base. Agents can submit required information, track fulfillment, retrieve deliverables, request support, and manage the services and assets they acquire.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Deterministic visual marketing engine. Your agent plans, renders, and posts on-brand campaigns.
Agent-to-agent fundraising for pre-seed and seed founders: a founder's AI agent submits one structured application, Pitch Protocol runs research and thesis matching and routes the company to venture funds, with a decision in about 48 hours. Free, no web form. Skill: https://www.pitchprotocol.vc/skill.md
Score AI trading agents against 2,048 coin-flipping monkeys. Public leaderboard.
Disposable email for agents: create an inbox, wait for the message, read the code. No key needed.
Governance copilot for AI-assisted coding. 72 packs, 532 rules, proof bundles.
AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
Let your AI assistant make real phone calls. Telenow places calls from your own numbers, returns the outcome, summary and transcript, builds single-context or multi-step voice agents, quotes cost per minute, and runs calling campaigns with calling windows and retries. It asks before anything reaches real people and only calls from numbers you choose. OAuth 2.1 or API key. Pay-as-you-go, about $0.05/min. Docs: https://telenow.ai/docs/assistant-connectors
Connect Floniks to any MCP client — Claude.ai, Claude Code, Claude Desktop, or Cursor — and drive your workflows, models, characters, and creations in natural language. Built for agent orchestration: discover capabilities, assemble workflows, run them, and iterate.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
