"Managing an Appwrite Project" matching MCP servers:

Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.

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

An MCP server that integrates X (Twitter) API access with Grok-powered intelligence for real-time social media analysis and account management. It provides tools for reading and writing tweets, managing direct messages, and generating AI-powered topic summaries or daily briefings.

Enables searching and retrieving icons from The Noun Project API with advanced filters for style, color, and size customization.

A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

Local workspace memory for Claude Desktop. Indexes documents into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph.

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.

Enables AI agents to operate an isolated local Chromium browser through MCP, with semantic snapshots, ref-based actions, search, research, crawling, and CDP access.

Enables searching imported AI conversations locally across different providers from an MCP client, with read-only access to the archive.

Enables hybrid retrieval-augmented generation with semantic and keyword search over documents, supporting multiple formats and providing MCP integration for Claude Desktop.

A standard, forkable MCP App server with a Streamable HTTP endpoint, providing a self-contained UI resource and native tools like search_projects for project discovery.

Routes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.

Enables Claude to perform hybrid search across local documents by combining semantic vector retrieval and BM25 keyword matching for optimal context recovery. It supports multiple file formats including PDF, CSV, and Markdown, leveraging local Ollama models for private and efficient document querying.

A project search MCP server based on Milvus vector database, supporting semantic search, hybrid search, and exact scalar queries.

Enables natural language queries over employee and project data by exposing database-backed business tools to a Gemini agent, allowing the agent to fetch live details from PostgreSQL and answer with readable responses.

Provides a local, evidence-first knowledge base over source snapshots and summaries stored in SQLite, with bounded search and exact readback while preserving provenance.

Enables natural-language sales queries against a SQLite database, generating and executing read-only SQL through a secure MCP server with table listing, schema description, and query execution.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Enables semantic search over a software project's Markdown and text documentation by indexing document chunks in Qdrant and exposing retrieval through MCP tools.

Enables AI assistants to discover and interact with GitHub repositories through standardized MCP tools, allowing exploration and retrieval of project information without direct API calls.