#calling

Callingly is an MCP server that lets AI agents actually get leads on the phone. Connect Claude, ChatGPT, or n8n and it can place a call, send an SMS, or schedule a callback — Callingly dials your sales team, plays the lead's details, and warm-transfers the conversation. 8 tools: dispatch + AI calls, SMS, scheduling, sequences, and call reporting. Remote server (streamable HTTP) with OAuth 2.0.

Read-only MCP server and JSON API for international country calling codes, ISO country codes, E.164 dial codes, regions, trunk prefixes, and NANP area codes.

Curated by Archimedes Market with a verified Trust Report. Expose any LangChain chain, agent, or tool as an MCP server. Schema-aware tool registration, tool-call tracing, retry/timeout policies, structured output validation. Bridges the LangChain ecosystem into Claude / ChatGPT / Cursor without rewrites. → archimedes.market/assets/312e3c99-f858-44e7-ba2c-fcaf408825a8.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

The JustCall Model Context Protocol (MCP) Server lets Large Language Models (LLMs) and AI agents make real-world voice calls and send SMS directly through JustCall’s APIs — securely, contextually, and programmatically. It provides a function-calling interface for conversational AI systems, enabling: 📞 AI-powered calling: Let your LLM initiate, manage, or transcribe calls using JustCall. 💬 Smart messaging: Allow your AI agent to send or respond to SMS within conversations. ⚙️ Seamless integration: Use the MCP standard to connect JustCall’s telephony capabilities with any LLM runtime or orchestration framework. In short: It gives your LLMs a voice and a phone number — turning chatbots into truly conversational agents.

Web Search OpenAPI/MCP server for Open-WebUI, Cherry-Studio etc, via Google and SearXNG

a light weight version of mcp sdk inspired by official model context protocol sdk, NOW focus on sse only no stdio

Official AI SDK by Ampersand

Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json

Simple MCP Server & Client Sample (with Gemini Function Calling)

MCP Server for tool calling

An MCP Server for the Espresso Android Test Framework, crafted to improve testing capabilities and optimize development workflows.

ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.

A customizable, general purpose AI Agent that supports MCP. Talk to Saiki in natural language to control computers, applications and more!

Klavis AI (YC X25): Open Source MCP integration for AI applications

MCP server for accessing the Canvas LMS for students

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools

Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools

Simple CLI MCP Client Implementation Using LangChain ReAct Agent / Python

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

Simple CLI MCP Client Implementation Using LangChain ReAct Agent / TypeScript

Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

A Model Context Protocol server for Excel file manipulation

Package intended to simplify the use of MCP server tools within LangChain