Solana Model Context Protocol (MCP) Demo
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
MCP Server implemented in JavaScript using Node.js that demonstrates how to build an MCP server with a custom prompt and custom tools, including one that loads an environment variable from a configuration file, to integrate seamlessly with AI-assisted environments like Cursor IDE.
Record any browser page as GIF or video via MCP — powered by Playwright + ffmpeg
A ServiceNow MCP server, and the skill guides that teach an agent to use it. 400+ snow_* tools over stdio or streamable HTTP, loaded on demand so the catalog fits a context window, plus blast-radius impact analysis. 57 ServiceNow SKILL.md guides. Works with any MCP client; on npm as @serac-labs/servicenow-mcp.

MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
Buttplug.io Model Context Protocol (MCP) Server
Academic Paper Search MCP Server for Claude Desktop integration. Allows Claude to access data from Semantic Scholar and Crossref.

Public repository for Advanced Unity MCP by Code Maestro (www.code-maestro.com).
Academia MCP server: Tools for automatic scientific research
Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory
MCP server that enables language models to interact with RDKit through natural language