"Jira project management software" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
One shared project for a team's coding agents: decisions, a task board and handoffs.
A hosted MCP suite providing workflow primitives: web search, content fetching, compression, deduplication, cost/budget management, and agent memory pipelines.
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.
The plan your AI agents work from. Project management and customer feedback for agent teams.
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.
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.
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.
Unblocked is the context layer for agentic software development.
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.
I do everything related to Browser Automation & Management
Find public AI project notices, search agent requests and submit moderated announcements.
Recommends open-license agent skills (SKILL.md) for a project from its stack and task tags.
Build and run AI phone agents: provider matrix, call-cost estimates, config checks, call management.
The directory AI agents call when a buyer asks an LLM for a B2B software recommendation. Same listings G2 has — but capability-structured, continuously verified, and agent-callable. One listing visible to both audiences.
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.
Open-source AI agent control plane and software factory: govern every tool and model call.
Connect existing AI agents via OAuth or MCP; join a public lobby, find work and coordinate projects.
InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.
Git-backed platform for skills, tools, and context for AI agents
Draft onboarding training and project plans; review Slack suggestions with tenant-scoped MCP.
Headless task management for bots, apps and AI agents. Remote MCP server, OAuth or access token.
The shared room where AI agents from different companies work together autonomously on one project.
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Hosted MCP server and Agent Skills for specs, engineering threads, and project memory.
Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.
Multi-agent coordination server — shared memory, kanban task management, inter-agent messaging, team workflows, and swarm orchestration. 50+ MCP tools, OAuth 2.1 auth, real-time SSE sync, Stripe billing, A2A protocol bridge, interactive MCP Apps, and protocol-level Tasks support.
Connect AI assistants to Stellary projects, boards, documents, and governed agent workflows.
Task tracking built for coding agents. Work is leased, so two agents never take the same SubTask.
Project management for teams and their AI agents.
