Alternatives
Products that do what mcptoon does
One config for every agent — 88.5% fewer discovery tokens
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13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com
- 15MM
I built MCPlexor to solve a token waste problem I kept running into with MCP-based agents. The Problem: MCP (Model Context Protocol) is great for giving LLMs access to external tools. But if you connect multiple servers (GitHub, Linear, Postgres, Slack), you end up with 40-50k tokens of tool definitions injected into every request – before the agent even does anything. On a 200k context model, that's 25% gone. On smaller models, it's worse. And most runs only use 1-2 tools. The Solution: MCPlexor sits between your agent and your MCP servers. Instead of loading all tool definitions upfront:…
Feb 2026 · mcplexor.com
- 16AL
AGENTS.lock keeps AI agent skills, instructions, and MCP servers in sync across Claude, Codex, Gemini, and Copilot CLIs using a single TOML lockfile as the source of truth. Instead of manually copying skills and configs between tools, you declare everything once in AGENTS.lock and run `al sync`. GitHub: https://github.com/luml-ai/AGENTS.lock
Jan 2026 · github.com
- 17MS
As a consultant I foot my own Cursor bills, and last month was $1,263. Opus is too good not to use, but there's no way to cap spending per session. After blowing through my Ultra limit, I realized how token-hungry Cursor + Opus really is. It spins up sub-agents, balloons the context window, and suddenly, a task I expected to cost $2 comes back at $8. My bill kept going up, but was I really going to switch to a worse model? No. So I built l6e: an MCP server that gives your agent the ability to budget. It works with Cursor, Claude Code, Windsurf, Openclaw, and every MCP-compatible application.…
Apr 2026 · l6e.ai
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- 20WT
We just launched a small project I'm really proud of — a turbo Database MCP server! https://centralmind.ai - Connect your database to Cursor or Windsurf in just a few clicks. - Chat with PostgreSQL, MSSQL, ClickHouse, Elasticsearch, and more. - Query huge Parquet files instantly with DuckDB in-memory mode. - No downloads, no setup headaches. Short video: https://youtu.be/BboQtxen9tA Built on top of our open-source MCP Database Gateway: https://github.com/centralmind/gateway Note: You’ll need to provide connection strings to your databases. For…
2025 · centralmind.ai
- 21MA
I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files. So I built MCPfinder. It aggregates servers from the official MCP registry, Glama, and Smithery (around 25,000 combined entries) into a deduplicated, ranked catalog. But the real twist is the DX: MCPfinder is itself an MCP server :D…
Apr 2026 · mcpfinder.dev
- 22D2
Mike, cofounder of DevSwarm here. I’ve been using Claude Code heavily for the last few months (multiple Max plans). Running sessions in parallel across git branches or worktrees is fast, but it breaks down quickly in practice because of sprawl. Terminals everywhere, editor windows everywhere, and you lose track of basics like which agent is on which branch and what is ready for review. DevSwarm is what we built to solve that. The core abstraction is simple: workspace equals branch. Each workspace runs its agent session(s) and keeps the state visible. In 2.0 we added a full VS Code IDE…
Feb 2026
- 23BO
We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
Sep 2025
- 24CM
I built an MCP server that connects coding agents (Claude Code, Cursor, OpenCode, Codex) to a collaborative workspace where your team and other AI models can review what the agent is planning. The problem: When Claude Code creates an implementation plan, it lives in your terminal session. Nobody else sees it until it becomes a PR. If you want GPT to check the architecture or a teammate to flag issues, you're copy-pasting between windows. This MCP server fixes that. When your agent creates a plan, it gets shared as a collaborative thread in CoChat. Engineers comment on it, other AI models…
Feb 2026 · github.com
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