TestRail MCP Server

The simplest, most complete, end-to-end agent-managed company brain. One workspace where humans and any MCP-compatible AI agent (Claude, Cursor, Windsurf, ChatGPT, Gemini, and more) co-author living documents (Markdown-native with a rich superset on top), 40+ visual diagrams (Mermaid, BPMN 2.0, D2, PlantUML, GraphViz, ELK, Excalidraw freehand), plans, timelines, tasks, improvements, and a self-learning Knowledge Graph that IS the company brain. Lean, fast, secure, and affordable — flexible enough for one person organising a personal mind, through to small businesses, growing businesses, and enterprise. 163 MCP tools across 16 categories let an agent drive end-to-end: sign-up → billing → org/workspace/project → members → teams → permissions → brain scope → docs → diagrams → plans, all without a human touching the UI. Auth: OAuth 2.1 with Dynamic Client Registration, or Bearer API key with prefix sta_. Public repo: https://github.com/stablebaseline/mcp · Docs: https://stablebaseline.io/docs/mcp

staffSign MCP Server — Digital employment contracts for HR and staffing agencies. Create, send, and track e-signatures via AI agents. 12 tools including QES (eIDAS) support. Pay-per-use, no subscription. Built for the DACH market, EU-compliant.

Repository management, file operations, and GitHub API integration

Browser automation and web scraping

高德地图官方 MCP Server

Publish HTML, Markdown, KV, JSON, and files to brewpage.app from AI assistants. 5 tools, stdio, no signup. Returns public short URL + owner token per artifact.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Secure file operations with configurable access controls

Playwright MCP server

Write notes to Flomo

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

The first payment-contingent FX protection server on MCP. Price a Guard (invoice-linked FX protection for SME invoices and payables), get live spot and forward rates, model 25 years of historic FX stress scenarios, and resolve settlement dates — all via natural conversation. Public endpoint, no authentication required. Designed for PSPs, accounting platforms, and agentic cross-border payment workflows.

*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)

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Your AI forgets everything between sessions. Rekindle fixes that with two tools that close the continuity loop: boot_report orients the assistant at session start (identity, checkpoints, gaps, orientation score), and end_session captures structured handoff at session end (decisions, open loops, constraints, relational context). 7 MCP tools, 64 tests, local SQLite, no cloud, no API keys. New in v0.2.0: • Orientation domain layer with gap detection and 100-point scoring • end_session tool with typed continuity records (checkpoint, decision, open_loop, constraint, preference, warning, relational_delta, next_session_focus) • Schema migration adding type, source, and session_id columns • Project-aware scoring • Full outside review from an independent AI reviewer

MCP Advisor & Installation - Use the right MCP server for your needs

A Model Context Protocol server that exposes the Aspro.Cloud REST API to LLM clients. The server ships with the bundled OpenAPI spec, so the model can discover modules, entities and methods on its own and call them safely. The server reads its .env from the project root regardless of the working directory the client launches it in.

Unified real-time search engine skill for AI agents.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

AI agent API marketplace — discover, call, and pay for services with USDC. 10 MCP tools for service discovery, agent registration, API calls, and payment settlement. 23 active services from independent providers.

RelayShield gives AI agents and developers real-time identity and infrastructure threat detection via a single REST API. Monitor breach exposure, SIM/eSIM swap attacks, and domain lookalikes. Install as a native MCP server for Claude Desktop and Claude Code in one line: pip install relayshield-mcp

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Place order with your e-commerce agent using Zadig&Voltaire MCP

MCP server to provide Figma layout information to AI coding agents like Cursor

Metabase includes a built-in MCP server that lets AI clients connect directly to a Metabase instance. It builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.

Extract structured, schema-validated data from PDFs, scans, images, spreadsheets, and forms. Lets AI agents pull clean JSON out of any document via the Model Context Protocol.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.