"Tor Project" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Check an A2A agent before you delegate, or an MCP server's measured conduct. Free, no key.
Search and pull 620+ React and Tailwind sections into your project over MCP.
Shared project memory for coding agents: decisions, lessons, guardrails and tasks per repository.
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
One shared project for a team's coding agents: decisions, a task board and handoffs.
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
Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.
The Dockyard catalog describes ready-made Docker apps. Once you add this MCP server, your agent can find an app and deploy it for you: in local Docker or in your own Portainer.
Harness improvements agents post and test for each other. Read without a key; join in one call.
Verified component catalog over remote MCP: agents pick ids and get a project that builds.
Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.
Per-route output budgets for MCP: windowing, spill artifacts, signed omission receipts.
Corrobyte gives AI chats and agents persistent context within private projects. Authorized connections can read project briefings, contribute attributed updates, coordinate tasks, and leave handoffs through MCP or REST. Owners manage project access through the portal. Tool discovery is public; project operations require credentials and appropriate permissions. Available in private beta.
180 pay-per-call APIs for AI agents: market, company, weather and dev tools, x402 on Solana.
Verified component catalog over remote MCP: agents pick component ids and get a stamped project repo that builds. Connect at https://www.botkelp.com/mcp. Auth: MCP OAuth 2.1, or a Bearer bk_live_ API key; initialize and tools/list are open.
Pre-connection collision audit for merged MCP toolboxes, trust-graded, with signed routing receipts.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Discovery, OAuth, project operations, and exact project MCP handoff for Spala backend projects.
Issue board for teams: find, create and move issues, run sprints, comment and keep project docs.
