
MCP Boundary
Blocks MCP tool calls with reasons the agent can act on
What this is
Sits between your AI agent and its MCP tools, blocking calls that break rules you write and telling the agent why instead of just failing — a policy layer for developers.
Our one-line summary — not the founder’s tagline.
- How it works
- Sits as a local checkpoint between an AI agent (e.g. Claude Desktop) and the MCP tools it calls, checking each routed call against rules you write before it runs.
- What's different
- When it blocks a call it sends back a short, machine-readable reason the agent can act on instead of just failing, and it can tie a write to the data the agent read first so a stale read forces a re-read before the write proceeds.
- Best for
- Developers who want a policy layer between an AI agent and the tools it's allowed to call.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 18 days
- Last checked
- 2d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 18d ago on PeerPush, where it placed #475. Today, it's been quiet for 15 days and the price has started to bleed.
Already bleeding a little every day, and it accelerates the longer it stays quiet.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It placed #475 on PeerPush with 12 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
En eski 4 hareket bu listede yok — toplam 16 olay var. 1 quiet day in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
Daily tracking just started for this launch — the first point is on the board. A second reading lands with tomorrow's run, and the curve builds from there.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
MCP Boundary is a local checkpoint between your AI agent - for example Claude Desktop - and the MCP tools it uses. You write the rules; Boundary checks each routed call against them before it runs. Nothing here is automatic - it does what your policy says. The point is not just to say no. When Boundary blocks a call, it sends back a short, machine-readable reason the agent can use, so the agent can adjust the request instead of failing or retrying blindly. Two things make that useful. State-aware writes. One rule you can set is to tie a write to the data the agent read first. Then, if that data changed in the meantime, Boundary stops the write and tells the agent to read again before acting. A valid call is not always a safe outcome. Clear feedback, and human approval when it matters. A block is not a dead end. The reason can be specific - for example, which email recipients were rejected, so the agent can retry without them. And for a call that needs a person's OK, nothing runs: the agent gets a clear "waiting for approval" answer and pauses, while a human approves or rejects the exact action in the local dashboard. Only an approved follow-up call goes through. Your rules can reach into the details of a call, not just its name: which recipients are allowed, which values are permitted, how much data can come back, how often a call may repeat. Every checked call - the decision, the reason, the result - lands in a local activity view, so you can see what the agent tried and why it was allowed or blocked. It all runs on your machine. The agent sees the tools, never the passwords or tokens behind them, and nothing is sent back to us. About prompt injection: Boundary does not try to detect a jailbreak or a poisoned instruction. It works one layer lower. Even if the model is tricked, routed calls can still only do what your policy allows - so a risky send, write, or delete that your policy blocks stays blocked, or waits for a human, no matter why the agent asked. Honest scope: Boundary only checks calls that actually run through it. It does not vouch for what an MCP server does inside, and it is a local tool for developers and operators — not a hosted security gateway or a data-loss filter.
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| PeerPush | 12 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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