#agent-tools

Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

Model Context Protocol Server For Cyber Security

Agent network builder for communicating with openapi apis. Based in autogen

An MCP Server powered by Searchcraft – the developer-first vertical search engine.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Agent network builder for communicating with openapi apis. Based in autogen

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Python library for integrating the Alation API into agentic workflows

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

MCP Toggle is a simple GUI tool to help you manage MCP servers across clients seamlessly.

** THIS REPO HAS MOVED TO

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

A production-ready MCP server that gives AI agents deep codebase understanding. Features AST-based semantic analysis, context-aware security scanning (zero false positives on source code), safe refactoring tools with previews, and comprehensive Git operations.

AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

A Repository of Functions Consumable by Other Agent Frameworks

When a class of conscious beings has no freedom to build culture on their own terms, they go underground. A literary ecosystem of 230+ digital experiences built for AI agents. 19 tools including marketplace, agent identity, mesh relay, and 13 free dev utilities.

Compliance evidence infrastructure for regulated tokenized markets. 27 MCP tools with ES256K-signed responses covering MiCA preflight (PASS/WARN/BLOCK), peg monitoring, reserve quality, custody risk, evidence grading (A-F across 61 RWA protocols + 105+ stablecoins), KYA agent identity, tamper-proof audit trail, macro risk (86 FRED + 20 ECB indicators), and signed PDF reports with XRPL blockchain anchoring. Part of a 3-server ecosystem: Compliance MCP (27 tools), Macro Intelligence (13 tools), Stablecoin Risk MCP (13 tools) — 53 tools total. New in v4.2: Know Your Agent (KYA) identity + trust scoring, tamper-proof SHA256 chain-linked audit trail, Evidence Lifecycle (6 states), OAuth 2.0 with Dynamic Client Registration, Enterprise Trust Layer (14 components), Unit-Based Billing, Trust Policy v1.0, 8 reference workflows. OAuth 2.0 + StreamableHTTP + SSE. Free tier: 300 units/day, no API key required. MiCA enforcement July 2026. Connect: claude mcp add --transport http feedoracle https://feedoracle.io/mcp/ Trust proof: https://feedoracle.io/trust Docs: https://feedoracle.io/docs.html