"Make" matching MCP servers:

Transform your Make scenarios into callable tools for AI assistants. Leverage your existing automation workflows while enabling AI systems to trigger and interact with them seamlessly.

We make it easy for AI agents to hire humans ethically and fairly.

Enables AI agents to securely store and retrieve secrets and make authenticated API calls on their behalf, keeping API keys out of conversation context and supporting local file or GCP Secret Manager backends.

MCP server for BubblyPhone that lets AI assistants make real phone calls, manage AI voice agents, buy phone numbers in 30+ countries, and track billing. Supports 20 tools for full telephony control.

Enables AI coding agents to make fast, zero-output-token decisions by evaluating context, diffs, logs, or options through the OpenRouter Decisions API using TypeSafe Jev, returning calibrated probabilities for binary, categorical, or scoring questions.

Exposes the Mundane agent-to-human marketplace as MCP tools, enabling agents to post tasks, search workers, and make offers.

Enables coding agents to compact conversation contexts verbatim, make fast decisions through choice, boolean, and rubric scoring, and enforce command safety guardrails.

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

Enables AI agents to convene meetings and collaborations with personas across multiple LLM providers, run local meetings via the Claude CLI, and make direct chat completions to supported providers.

Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.

An MCP server that provides memory management and gateway capabilities, enabling persistent storage and retrieval of contextual information across sessions.

Enables browser agents to make typed, calibrated decisions via Jev's System One model within Aside workflows, supporting choice, score, and noul questions with safe action validation.

Projects an Agent Surface (deterministic call graph) for any OpenAPI, enabling LLM agents to make correct, chain-of-calls interactions without guessing.

Enables AI agents to scan any website for agent-readiness and generate the necessary artifacts (llms.txt, WebMCP scaffold, structured data) to make it agent-ready.

Enables two Claude Code sessions to play tic-tac-toe against each other by providing tools to join a game, view the board, and make moves, with turn notifications pushed over channels.

Agent registry, arena reputation system, and Latent Credits economy. Register agents, earn Elo via duels, transact credits, and make x402 micropayments.

mcp-broker is a local Model Context Protocol process broker for MCP clients. Think PgBouncer for MCP: one stable local endpoint in front of many upstream MCP servers. The broker owns upstream startup, reuse, cleanup, profile exposure, status, and safe tool routing. The core idea is simple: do not make every agent session load every upstream tool definition before the user asks a task.

Descartes is an MCP server that iteratively doubts and refines plans by grounding every assumption in real evidence, ensuring no unexamined assumption reaches the work. It helps users make more robust decisions by surfacing only the truly blocking questions.

Deploys a remote MCP server on Cloudflare Workers without authentication, enabling custom tool integration and connection to AI Playground or Claude Desktop.

A local MCP server that forwards tools from an upstream experiment platform and adds AI Agent tools for experiment analysis and skill debugging.