Tag

#management

664 results found

Context Repo Mcp Server
@ContextRepo

*One workspace for your prompts, documents, and collections — accessible from every AI client you use.* Context Repo is an AI context management platform for capturing, organizing, versioning, and searching the knowledge artifacts you use with AI tools. This MCP server exposes **28 tools** that give Claude, Cursor, ChatGPT, Factory, Windsurf, Codex, Claude Code, and any other MCP-compatible client direct read-and-write access to your personal workspace — no copy-paste, no context loss between conversations. ## Features - **Prompts** — Full CRUD with version history, rollback, and semantic search across your prompt library - **Documents** — Markdown and plain-text storage with automatic chunking and 1536-dim vector embeddings - **Collections** — Named folders that group prompts and documents into project-scoped contexts - **Catalog Search** — `find_items` returns ranked results across prompts, documents, and collections in a single call (semantic by default, literal fallback) - **Deep Search** — Hierarchical document navigation: search ranked passages, then expand up to parents, down to children, or sideways to siblings for token-efficient exploration of long content - **Version History** — Every content edit creates a new version; restore any prompt or document to any previous state - **Real-time Sync** — Changes propagate instantly via Convex live queries; AI clients always see the latest content - **ChatGPT Apps Ready** — `search` and `fetch` are OpenAI Apps SDK Company-Knowledge eligible; `find_items` carries an optional `ui://` resource for inline result rendering ## Tools (28 total) | Category | Tools | |---|---| | User Info (1) | `get_user_info` | | Prompts (7) | `search_prompts` · `read_prompt` · `create_prompt` · `update_prompt` · `delete_prompt` · `get_prompt_versions` · `restore_prompt_version` | | Documents (7) | `list_documents` · `get_document` · `create_document` · `update_document` · `delete_document` · `get_document_versions` · `restore_document_version` | | Collections (7) | `list_collections` · `get_collection` · `create_collection` · `update_collection` · `delete_collection` · `add_to_collection` · `remove_from_collection` | | Catalog (1) | `find_items` | | Deep Search (3) | `deep_search` · `deep_read` · `deep_expand` | | ChatGPT Apps (2) | `search` · `fetch` | ## Authentication Two ways to connect: 1. **API Key** — Generate a scoped `gm_*` key at [contextrepo.com/dashboard/settings](https://contextrepo.com/dashboard/settings). Per-key permissions: `prompts.read`, `prompts.write`, `documents.read`, `documents.write`, `documents.scrape`. Sent as `Authorization: Bearer gm_...`. 2. **Clerk OAuth 2.0** — RFC 9728 protected-resource metadata at `/.well-known/oauth-protected-resource/mcp`, RFC 8414 authorization-server metadata at `/.well-known/oauth-authorization-server`. Standard OAuth flow for clients that support it. ## Use Cases - **Prompt library that follows you.** Stop copy-pasting prompts between Claude, Cursor, and ChatGPT. Maintain one canonical version, retrieve it from any client. - **Personal knowledge base.** Save research articles, documentation, and AI conversations with the [Context Repo Chrome Extension](https://contextrepo.com/chrome-extension), then pull them in as grounded context inside your AI tools. - **Project-scoped collections.** Separate workspaces per client, repo, or topic so an AI assistant only sees what's relevant to the task at hand. - **Version-controlled prompts.** Track how prompts evolve, A/B test variants, and roll back when an "improvement" turns out worse. - **Long-document exploration.** Deep Search navigates book-length documents passage by passage instead of dumping them into context — every chunk carries parent/child/sibling links the agent can walk. ## Compatibility Streamable HTTP transport, MCP spec ≥ 2025-03-26. Verified with Claude Desktop, Cursor, ChatGPT (via the OpenAI Apps SDK), Factory, Windsurf, Codex, Claude Code, VS Code (Continue), and Amp. Any MCP-compatible client should work. ## Resources - Website: [contextrepo.com](https://contextrepo.com) - Documentation: [contextrepo.com/docs](https://contextrepo.com/docs) - Pricing & free trial: [contextrepo.com/pricing](https://contextrepo.com/pricing) - Agent discovery: [contextrepo.com/llms.txt](https://contextrepo.com/llms.txt) - API reference: [contextrepo.com/openapi.json](https://contextrepo.com/openapi.json)

a month ago
Gantta MCP
@Gantta

Turn conversations into project plans. Gantta connects your AI assistant to a full project management backend — plan projects, manage tasks, chase actions, and generate reports, all through natural language. What you can do Create project plans — Describe your project in plain language and get a structured plan with milestones, dependencies, deadlines, and deliverables Break down tasks — Automatically decompose projects into prioritised actions with owners, due dates, and status tracking Assign owners — Allocate tasks to team members and track who is responsible for what across every project Chase actions automatically — Follow up on overdue or pending actions with automatic owner notifications so nothing slips through the cracks Capture meeting transcriptions — Log meeting notes, standups, or any conversation and extract structured action items automatically Generate reports and slide decks — Produce project status reports, progress summaries, and presentation-ready slide decks directly from your project data Track timelines — View project schedules, milestone progress, and dependency chains at a glance Who it's for Product managers, project leads, founders, and agency teams who run projects across multiple clients and want to manage everything from their AI assistant without switching tools. No account needed to start Try Gantta instantly — your AI assistant can create project plans right away. When you're ready to save your work, collaborate with your team, and unlock full reporting, claim your workspace at gantta.co. Why Gantta over traditional PM tools Traditional project management tools require manual data entry, constant tab-switching, and rigid workflows. Gantta lets you manage projects the way you actually think — by talking. Your AI assistant becomes your project manager, handling the structure while you focus on the work. Built for teams who plan through conversation, not spreadsheets.

2 months ago
Testdino MCP
@testdino-hq

TestDino MCP is a Model Context Protocol server that lets AI agents work directly with your Playwright test data, without leaving your editor or opening a browser. Once connected, your AI assistant can browse TestDino runs, inspect failing tests, and manage manual cases using plain language. Ask it to “show the last 5 failed runs in production,” “debug the checkout flow test,” or “list all critical manual test cases in project X,” and it will call the right tools behind the scenes. The server exposes 12 focused tools for CI runs, debugging, and manual test management. You can: Check account health and validate your PAT Filter runs by branch, commit, author, time window, or environment Drill into a single test case, including errors, logs, steps, screenshots, and traces Run debug_testcase to aggregate historical failures, classify patterns, and get AI‑ready prompts for root‑cause analysis and flakiness Create, update, and organize manual test cases and suites (status, severity, tags, layers, behaviors) TestDino MCP is MCP‑compatible and works with clients like Cursor and Claude Desktop. Configure it via mcp.json using either npx testdino-mcp (no install) or a global install (npm install -g testdino-mcp), and provide a TESTDINO_PAT from your TestDino account. Typical use cases include: speeding up Playwright failure triage from within your IDE, giving AI agents structured access to real test history, and keeping manual test management in sync with how your team actually debugs CI.

2 months ago