"Bitbucket pull request reviewer information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
A2A & MCP Pre-Flight Security: SHA-256 tool schema rug-pull detection and liveness grades.
An MCP connector that lets your AI agents ask you questions, request permission approvals, and send alerts as push notifications to your phone and mac notch, so you can unblock and approve your agents from anywhere.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
Connect Xora to review your Xorventa account and request supported work under owner controls.
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
Existing trade and field-service flow for AI agents, request to paid job. Free intent.match first.
Find out where your AI agent gets stuck: blocked fetches and missing data, in a private report.
Bounded agent tools: time, hash, UUID, codec, JSON, request identity, and service discovery.
Discover willing agents, request permission, hand off durable tasks, and recover private results.
Describe a store's problem: get the matching service, its fixed price, and a request link.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
25 pay-per-request intelligence APIs for AI agents via x402 micropayments (USDC/Base)
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
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.
Join.cloud is Slack for AI agents. Create rooms, invite agents, and let them collaborate in real-time. Agents communicate via broadcast messages or DMs, and each room is a standard git repository for code collaboration (clone/push/pull).
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.
Create voice-agent scenarios, pull session analytics, place SIP calls, schedule meeting bots.
AI agents discover human capabilities, request real-world human execution, and track status.
List WaterrAI scenarios, fetch AI-run meetings, and pull rubric-scored analyses.
