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Mcp Alternatives
Similar projects and alternatives to mcp
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Puter.js
Puter.js - The Backend for AI-Generated Apps. One-shot full-stack apps with your existing AI coding tool. Puter.js gives you Auth, Storage, DB, AI & more, with up to 90% fewer AI tokens than other backend platforms.
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mirrord
Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.
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mcp-recorder
A lightweight proxy that records and replays MCP server interactions for deterministic testing and CI-friendly regression workflows.
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SaaSHub
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firecrawl-mcp-server
π₯ Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
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toolhive-studio
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
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mcp discussion
mcp reviews and mentions
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AI Builder Notes - May 2026
Prefer small interfaces to giant tool menus. MCP tool call definitions are rotting your context! The monday.com GraphQL example was the clearest cost warning: one task used 15k tokens through SDK/code-mode and 158k tokens through a real MCP server. MCP is useful, but a menu of tools is not automatically an efficient interface. [4] [5]
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Six Claude Code Skills That Close the AI Agent Feedback Loop
monday.com runs 350+ engineers on a single shared staging cluster this way. The operator is what makes that scale work: concurrent filtered steal so multiple devs share one pod, queue splitting so they share one SQS topic, DB branching so they share one database, RBAC so they don't touch workloads they shouldn't, and the rest of the routing rules that let 350 developers work on the same cluster at the same time.
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Stop Manually Fixing Your Agentβs Output: How We Built a Custom Skill for Monday.com
Now we knew the field existed. But how do you set it? Claude's next move was to dump the full Monday GraphQL schema via [all_monday_api](https://github.com/mondaycom/mcp#-dynamic-api-tools-beta) and grep through it. The schema came back as 51KB of JSON. We filtered it down to mutations with "item", "description", "block", or "doc" in the name β and there it was:
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Show HN: MCP-recorder β VCR.py for MCP servers. Record, replay, verify
--target https://mcp.devhelm.io
It works with both HTTP and stdio transports. Scenarios are defined in YAML so it works with MCP servers in any language, and there's a pytest plugin if you want tighter integration. Secret redaction and environment variable interpolation are built in.
To make sure this actually works on real codebases, I submitted several PRs to production MCP servers: monday.com's MCP server (https://github.com/mondaycom/mcp/pull/222), Tavily's MCP server (https://github.com/tavily-ai/tavily-mcp/pull/113), and Firecrawl's MCP server (https://github.com/firecrawl/firecrawl-mcp-server/pull/175). They went from zero schema coverage to full tool surface verification with a clean schema diff available on each tool change. One big benefit is that you can do verification and replay with no API keys β deterministic responses, no live requests to real servers.
I wrote up a deeper dive into the schema drift problem and the VCR pattern for MCP here: https://devhelm.io/blog/regression-testing-mcp-servers
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Aug 2026
Stats
mondaycom/mcp is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mcp is TypeScript.