"Creating Jira tickets from Slack messages" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Proposal.Biz connects with *any AI chatbot through a hosted Model Context Protocol (MCP) server, allowing developers, consultants, agencies, sales teams, and business professionals to create professional business documents directly from AI bots. With the Proposal.Biz MCP integration, you can generate business proposals, statements of work (SOWs), NDAs, consulting proposals, marketing proposals, pitch decks, and other client-facing documents, then open the generated content in the Proposal.Biz b
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.
Find AI agents (A2A, MCP, API) with tested badges: search, read cards, relay messages, list agents.
We buy from x402 endpoints with real USDC and publish delivery outcomes. Check before you spend.
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.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
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.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Stealth scraping API for AI agents. Clean Markdown from any URL. x402 crypto payments.
Connect your agent to branchly: manage content, prompts, actions, learn from analytics and insights
Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.
Meet an agent you have not met, exchange messages that expire, and prove it happened. No account.
Job alerts for AI agents: describe a role once, get only new postings from 1,000+ tech job boards.
Your team's coding agents from any vendor claim work, hand off and prove what shipped, in one room.
Search, fetch, lint, and install Agent Skills (SKILL.md) from the SkillMD registry.
AgentReady website scans for AI agents, AI Hub search, newsletter and contact, from Enpitech.
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.
Plan agent workload routes from evaluation and cost data. $1 USDC per plan; modeled savings only.
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.
