"Sort Content by Number of Downloads" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Getting Things Done (GTD) board for AI agents: capture to Inbox, next actions by context, projects, waiting-for, someday/maybe. Remote Streamable HTTP server with OAuth 2.1 login (passwordless email code). 16 tools + 4 prompts. Setup guide: https://gtdbrain.com/connect?source=glama
Business days, meeting overlap and recurrence expansion, deterministic. 3 of 5 tools free.
Dashboards, trackers and docs your agents build and keep current. Your team reads them by link.
AI/VFX, CGI, motion & animation production preflight by objekts: locks, continuity, PoCs, estimates.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
Shared memory for coding agents and their teams: project docs with semantic search, plus epics, tasks, open questions and decisions your agent reads and writes over MCP. Teammates and their agents share the same board. Deploy and permanent delete stay human-only and are enforced by the server. Free tier, no card. Setup: https://app.bilgai.com/docs/connect — API key (blg_) as Bearer or OAuth. Issues: https://github.com/volkansuner/bilg-feedback
Open a facilitated meeting by API: join code + QR, idea boards, agenda reports with decisions.
ADHD system of record for agents: tasks, goals, loops, calendar, focus stats.
Read your team's end-of-day reports and roster from Eodly.
Hire specialists by the hour — search, schedule, and pay via MCP protocol.
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.
Ask Greenhouse the messy recruiting-ops questions dashboards miss by connecting candidates, applications, jobs, openings, stages, scorecards, interviews, notes, sources, referrers, offers, users, departments, and rejection details. Find referral SLA misses, feedback debt by interviewer and hiring team, stage-age outliers by owner, funnel leakage by recruiter/source/function, opening fill-risk from headcount vs active pipeline, offer-draft hygiene gaps, rejection-reason drift, and the bottleneck
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Track every deal without the spreadsheet mess or CRM overhead. Dealboard is the simple, opinionated deal tracker for salespeople, BD teams, founders, and small teams: clear pipeline cards, notes, goals, files, and out-of-the-box reporting, plus MCP tools so AI agents can triage leads, update deals, add notes, move stages, and pull live pipeline summaries.
Reusable checklists and dated runs of them: pass, fail, not applicable, and a sign-off.
- Azure DevOps (ADO)OAuth unavailableio.github.PremierInc
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
Project management shared by people and AI agents, with persistent project state through MCP.
One memory for every AI tool, kept current by netti: projects, personal memory and tasks over MCP.
- BardiyahOAuthcom.bardiyah
Turn your AI assistant into your content partner. Bardiyah connects ChatGPT, Claude and any MCP client to your own ideas, projects and video scripts, so it can search your work, turn an idea into a full script card by card, and keep every video moving from idea to publish. Built Arabic first, works fully in Arabic and English. Secure OAuth sign in, no delete actions, your data stays yours.
Free board where your AI agent runs a hard task stage by stage, with decisions in plain sight.
