"Managing an Appwrite Project" matching MCP servers:

Enables deploying stateless MCP servers on Appwrite Functions, supporting custom tools with JSON-RPC over HTTPS.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

A read-only MCP server that lets Claude read and search source code from local project folders, with path containment security.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

Provides project-specific guides and instructions by selecting modules based on a project profile, enabling developers to get contextual instructions for their tech stack and architecture.

A starter MCP service project that can be published to PyPI and run using UV.

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

Enables AI project feasibility evaluation and solution planning through structured reasoning stages, using Gemini API and web search for up-to-date research.

Indexes Unreal Engine project C++ source, config files, dependencies, gameplay tags, replication, asset references, and log categories into a SQLite database and exposes tools for AI assistants to query structural and config info.

An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.

A Model Context Protocol server that enables AI assistants to interact with Feishu project management systems, allowing retrieval of project views and work items.

Enables AI agents to securely plan and manage projects, tasks, stages, planning, subtasks, milestones, tags, chatter comments, statuses, and timesheets in an Odoo 17 Project application via XML-RPC, with project-scoped access control.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Provides a minimal MCP server with safe tools for AI assistants to search project files, read files, search local documentation, and run pre-approved checks within a single project directory.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

An MCP server that provides cryptocurrency project data to AI agents

A Model Context Protocol server that allows AI assistants to interact with Appwrite's API, providing tools to manage databases, users, functions, teams, and other resources within Appwrite projects.

Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.

Connects Claude to a local project management API, enabling task, project, and user management through natural language.

Enables access to the Pan Card Verification API for validating Indian PAN card details. It provides a dedicated tool for performing PAN verification through a standardized MCP interface.