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A collection of MCP servers.
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:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
MCP Toolbox for Databases is an open source MCP server for databases.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
A MCP (Model Context Protocol) server for interacting with dbt.
Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor, and Codex.
No description.
AI SOC Security Threat analysis using MCP Server
Signed, verifiable safety grades for the tools your AI agents connect to.
Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, and procedural memory systems.
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc
Agent commerce settlement router for AI agents on Base. Split USDC into liquid working capital and routed yield.