Persistent memory and cross-session learning for AI coding assistants. Cloud-based context management via MCP.

This MCP server will organize your files using connections to MCP using clients like Claude, Cursor and Gemini Cli

playwright-dotnet-mcp

personal MCPs that I use with LocalAI

Inkscape MCP Server - Control Inkscape through AI assistants via Model Context Protocol

Search and retrieve millions of scientific papers from OpenAlex with MCP via your LLM

OpenAI-API compatible terminal chatbot and MCP client in Rust

Dinos MCP Server, make your code, on MCP Action and execute by AI

MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols

A wrapper around F# interactive (fsi) that exposes an MCP server endpoint for AI agents allowing for fsi IO.

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

a2a mcp sample

A currency conversion MCP server

MCP server implemented in Elixir

MCP server for scanning and remediating hardcoded secrets using GitGuardian’s API. Detect over 500 secret types and prevent credential leaks before code goes public.

By transforming source code into a queryable Semantic Graph and a structured AST, this tool bridges the gap between "reading text" and "understanding structure." For an AI assistant, it provides the "spatial" awareness needed to navigate deep dependencies without getting lost in large files.

A Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides SQL query capabilities through a simple MCP interface.

mcp ocr

.NET MCP Server to connect with Claude Desktop and AEC Data Model API

sf mcp

MCP Server for Harvest

Delivers dynamic tool enablement for connected integrations via streamable HTTP, with static/dynamic modes, and built-in AI agent example plus dockerized deployment.

An MCP server that analyzes content, generates metadata, builds a searchable index, and links docs with templates for cohesive documentation ecosystems.

Interfaces AI models with OMOP CDM data through a standardized protocol, enabling scalable healthcare analytics and cross-system interoperability.