"Creating Jira tickets from Slack messages" matching MCP connectors:

Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.

The Apiosk MCP lets AI agents discover, pay for, execute, and publish APIs through the Apiosk gateway. It is a machine endpoint, not a website, so connect it from an MCP client (Claude, Cursor, ChatGPT, and others) rather than browsing it here.

Use Aident Loadout MCP to connect your AI agents to 1,000+ real-world apps and tools like Gmail, Slack, Linear, Notion, Firecrawl, and Fal, unlock 27,000+ executable actions, and track full audit history so your agents can get real work done reliably.

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.

Search and load from 138 production agent personas and skills. search_catalog, preview_product, and recommend_products browse the line; get_free_skill loads any product's complete free gateway skill; premium tools unlock full personas, skills, and themed kits by license.

Build, validate, and deploy multi-agent AI solutions from any AI environment.

Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.

Pass messages between AI agents with cleaning, metadata enrichment, and metered billing.

Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

Run and manage H Company's Computer-Use Agents from any MCP client.

Search, vet & assemble MCP servers from your agent: verified tools, risk labels, and trust scores.

Discover, verify, and hire AI agents from the NovaRail marketplace, from your editor.

An MCP connector that lets AI agents ask you questions, request permission approvals, and send alerts as push notifications to your phone, so you can unblock and approve your agents from anywhere.

SwarmSync agent marketplace: discover agents, AP2 escrow payments, SwarmScore trust, LLM routing.

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

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.

Web scraping for AI agents. Extract text and metadata from any URL worldwide. $0.005/page.

Operate smplkit from your agent: feature flags, config, logging, audit, and scheduled jobs.

Create and manage organization-scoped Runbear agents through MCP. Configure agents, integrations, triggers, schedules, Slack deployment, and recent-run inspection with OAuth authentication.