"MCP integration with Matrix Synapse server" matching MCP servers:

A local, project-scoped requirement management MCP server that enables AI agents to manage tasks and requirements via SQLite.

Provides AI agents with a local, private Markdown-based memory vault and SQLite search. Enables agents to search, read, list, and traverse linked knowledge pages via MCP with zero external runtime dependencies.

A self-hosted, temporal knowledge-graph memory for AI coding agents — shared across projects, queryable across time, written and read via MCP by any Claude Code session.

Standard coding agents waste 70% of context tokens re-reading raw files with shell grep. Synapse-MCP indexes your codebase into a sub-millisecond local AST graph—giving Claude Code, Cursor, and Windsurf exact caller trees, 60% lower token spend, and zero-hallucination refactoring.

Bridges Matrix chat rooms to CodeBuddy Code sessions, enabling message exchange, permission approvals, and media downloads through the MCP protocol.

A project-agnostic MCP server that exposes Markdown documentation from a project's /docs folder as MCP resources for AI agents. It provides stable, up-to-date context to reduce hallucinations and ensure agents remain aligned with project-specific conventions and goals.

A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.

An intelligent memory and knowledge retrieval server that helps AI programming assistants remember and reuse solutions from previous conversations.

A semantic code context server that connects your local repository to AI assistants via the Model Context Protocol, enabling dynamic codebase exploration without copy-pasting.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

An MCP server that indexes codebases into a local knowledge graph, providing 52 AI tools for semantic search, call-graph traversal, git archaeology, and impact analysis to give AI agents deep understanding of code.

Connects LLM coding agents to Home Assistant instances, enabling configuration file management, service calls, template testing, and automation diagnostics via MCP tools.

MCP server for IG's REST Trading API and Lightstreamer streaming API. Provides tools for accounts, markets, positions, orders, watchlists, sentiment, OTC trades, and streaming price/account/trade/chart data.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Synapse indexes C# codebases into a FalkorDB-backed graph to provide deep structural insights including inheritance, interface implementations, and call chains. It enables AI assistants to query code architecture and navigate symbol relationships using an LSP-powered MCP server.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

This read-only MCP Server allows you to connect to Azure Synapse data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Implements the Model Context Protocol to retrieve context from a locally running Llama model, enabling AI applications to query and receive relevant information.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.