<div align="center">

mcp-trustlayer

An MCP server that lets an agent ask whether it is allowed to act on its own output.

</div>

---

An agent that has just extracted values from a document is the worst possible judge of whether those values are correct. It has no distance from its own output. This server moves that judgment outside the model: the agent proposes, a policy you control disposes.

agent  ──  "I extracted these 12 fields, may I write them?"  ──▶  mcp-trustlayer
                                                                       │
       ◀──  "9 post. 3 to a human. Here is why for each."  ────────────┘

Why this exists

Most extraction pipelines gate on one signal, a confidence score, and inherit a failure they never see. Confidence catches the model being unsure. It cannot catch the model being sure and wrong, because nothing in a confidently wrong answer looks hesitant.

The worked example below carries a fee field at 0.94 confidence whose value is the plan-review line item rather than the total. No threshold you could reasonably set catches it. An independent verification pass does.

Tools

evaluate_fields

Returns a disposition per field, one of post, review, or escaped.

{
  "fields": [
    { "name": "permit_number", "value": "BLD-2024-041877", "confidence": 0.99, "verification": "verified" },
    { "name": "permit_fee",    "value": "$1,240.00",       "confidence": 0.94, "verification": "mismatch" },
    { "name": "contractor",    "value": "Meridian",        "confidence": 0.38, "verification": "not_found" }
  ],
  "high_stakes": ["permit_number"],
  "verified": true
}

1 posted, 2 held for review, 0 escaped

[POST]    permit_number = 'BLD-2024-041877' (0.99/0.95) verified
[HOLD]    permit_fee    = '$1,240.00'       (0.94/0.85) verification mismatch
[HOLD]    contractor    = 'Meridian'        (0.38/0.85) confidence 0.38 below bar 0.85

Pass "verified": false to model what happens with no verification pass. The fee field flips to escaped, meaning it was written to the record while unsupported by its source. That number is what the second pass is worth.

calibrate_threshold

Sweeps the bar and reports review load against escaped errors, with and without verification, so the threshold gets chosen deliberately rather than inherited.

bar    verify-on: hold/escaped   verify-off: hold/escaped
0.85      3 / 0                     2 / 1
0.90      5 / 0                     4 / 1
0.95      7 / 0                     7 / 0

Install

No dependencies. Python 3.10+.

git clone https://github.com/neelbarm/mcp-trustlayer
cd mcp-trustlayer
python -m mcp_trustlayer.server

Claude Desktop

{
  "mcpServers": {
    "trustlayer": {
      "command": "python",
      "args": ["-m", "mcp_trustlayer.server"],
      "cwd": "/path/to/mcp-trustlayer"
    }
  }
}

Speaking to it directly

MCP is JSON-RPC 2.0 over stdio, so you can drive it with a pipe.

printf '%s\n' \
  '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' \
  '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' \
  | python -m mcp_trustlayer.server

Design notes

The protocol is implemented directly, not via an SDK. protocol.py is about 90 lines and handles initialize, tools/list, and tools/call over newline-delimited JSON-RPC. Keeping it dependency-free makes the wire format legible, which matters more in a reference implementation than convenience does.

Notifications get no response. notifications/initialized carries no id and must not be replied to. This is the most common place a hand-rolled MCP server breaks, so there is a test for it.

Tool errors return content, not crashes. A raised exception comes back as isError: true with the message in the content block, so the model can see what went wrong and adjust rather than losing the connection.

Descriptions are written for the model, not for a human reading docs. Each tool description says when to call it, because that text is the only instruction the model gets.

Tests

python -m pytest tests -q     # 10 passed

The suite includes an end-to-end case that spawns the server as a subprocess and speaks real JSON-RPC over stdio, rather than only calling the handler in-process.

Related

• trustlayer — the same decision logic as a Python library
• plancheck — the idea applied end to end to permit intake, with a live demo

MIT. Built by Neel Barmecha.