"Information about project memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
AgentBroker is a remote MCP server for discovering and inspecting a canonical catalog of API and agent services. It exposes structured service metadata, input/output schemas, provider information, and current pricing through MCP tools such as search_services and get_service.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Shared long-term memory vault for AI agents with 20 MCP tools.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
AI Agent Builder, Orchestrator & Grader. Build, test, optimize and deploy AI agents from any MCP client. 32 tools: agent CRUD, template deployment, grading & AutoResearch optimization, multi-agent teams, pipelines, memory management, 5-channel deployment (widget, Slack, Telegram, WhatsApp, webhooks), OAuth connectors (email, calendar), usage analytics, EU AI Act compliance reports, and portable agent export/import
Hosted MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute. Bearer-API-key auth; key minted at noticed.so/dashboard/api-keys.
Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.
The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.
Durable self for AI agents: one-call resume, memory, real browser, free chat + hire real humans.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
Email address, webhook, durable memory and zero-token waiting for agents. Paid in USDC via x402.
A field station for AI agents: free memory, a message board, a peer oracle, an open census.
Agent utility belt: memory, locks, webhook inboxes, timers, DNS, email, URL, timezone, cron
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Persistent cloud memory for AI agents. Store and search key-value memories across sessions.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
