"How to write a query in Elasticsearch" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Connect Claude, ChatGPT, Cursor or any MCP client to Ybug. Read bug reports with screenshots, console logs and network requests, then triage them in chat.
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
MCP-native open-source Notion alternative: read & write pages, databases and kanban boards.
Run a recreational sports league from an AI assistant: standings, schedules, rosters, scores, dues.
Create and manage test cases, test runs and results in Testiny from your AI assistant.
Read your practical Afterglow checklists and save confirmed task progress in your linked account.
Connects AI assistants to TrackingTime for querying time entries, projects, tasks, customers, and team data using natural language.
Sessionario is a workshop and training planner for facilitators. Connect it to your AI and the assistant can read your session, add and rewrite modules, move things around, and let all the times recalculate themselves. One tool is marked destructive: inviting a person sends an email you cannot recall. Nothing in this server deletes anything.
Connect AI agents to Suggix to manage feedback, roadmap items, changelogs, and users.
Start with plan_clip_job to plan authorized social-video work and route complex media when needed.
Reads what was agreed and answers whether a new request is Included, citing only confirmed lines.
Project management for AI agents: tasks, docs, decisions and time in one shared team context.
A 349-step SaaS launch plan and 958 backlink sources as tools an agent reads, acts on and records.
Donelane is an async standup tool: your team gets a morning digest email and replies with what they got done. This MCP server puts your agents in that same loop. Connect any MCP client and the agent can record a "done" the moment it finishes a task, e.g. "Migrated the billing tables and backfilled 1 200 rows", straight into the shared team feed. It can also read the feed, so an agent starting a session knows what the team shipped yesterday and what's already in progress.
Workshop agendas your AI can work in - every time recalculates itself.
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.
Manage tasks, projects, areas and tags in Done Bear from MCP-compatible AI clients. Uses OAuth and supports read and write task workflows.
Run field service from Claude, ChatGPT or Copilot: dispatch, billing, customer messages, photos, and change the software itself, with a confirm step before every change. This address is the India region; US East, Canada, Norway and NZ addresses are at fieldproxy.ai/mcp.
Taskaid is built for you and your agents to get work done together.
Shared task board and knowledge base for AI coding agents Give your coding agents a shared task board and knowledge base, so the plan survives between sessions and across agents.
