Prism MCP for Python
Consuming Model Context Protocol servers as Prism tools, across an explicit trust
boundary. The Python port of
particle-academy/prism-mcp.
Zero runtime dependencies. Python 3.10+.
pip install prism-ai-mcp
from prism_mcp import Client, TrustPolicy
docs = Client(
"docs",
my_transport,
trust=TrustPolicy.allowing(["search"], pins={"search": "sha256:3f1c…"}),
)
async def search_docs() -> None:
tools = await docs.list_tools()
result = await docs.call_tool(tools[0], {"query": "rate limits"})
print(result.text)
my_transport is a callable that takes a TransportRequest (method, params,
headers) and returns an awaitable yielding the decoded server result. An
async def transport satisfies that contract. The package opens no connections
itself.
Breaking change in 0.2.0: list_tools() and call_tool() must be awaited,
and the transport must return an awaitable. Run search_docs() in your
application's event loop. A synchronous embedder must manage that loop itself;
the package provides one async client path.
Trust
A tool list is not data the model summarises; it is instructions the model follows. So nothing is offered until you say what you trust.
TrustPolicy.undeclared()is the default.list_tools()raisesserver_not_trustedinstead of returning the server's tools.TrustPolicy.allowing([...])offers only the named tools.allowing([])is a declaration too, and offers nothing.TrustPolicy.allowing_every_tool()offers every tool, including ones the server adds later.- Pins. Pass
pins={name: digest}.ToolDefinition.digest()covers the tool's name, title, description and input schema, so a server that rewrites a description after you trusted it is refused withtool_definition_changed.
A gate callable (server, tool, arguments) -> bool is asked before every
call; returning False raises tool_denied. The default allows every call that
trust admitted, and deny_all refuses them all.
Results
Every result passes through a ResultGuard before it reaches you:
- A result over
max_bytes(65,536 by default) raisesresult_too_largeinstead of being truncated. - The text is wrapped in an
<untrusted-tool-output>tag with a random id per result, so the server's output cannot close the wrapper. - A
filtercallable(server, tool, text) -> textruns before framing, if you pass one.
The wrapper makes a prompt injection harder. It does not make one impossible, and the guard does not scan the text for injection strings.
Mirrored parameters
A tool's schema can mark an argument with x-mcp-header, which copies the
model's value into an Mcp-Param-* request header. A tool whose annotations
break the rules (an invalid header name, two arguments mirrored to the same
header) is left out of list_tools() rather than repaired.
Protocol
The client speaks MCP 2026-07-28, the stateless revision. Earlier revisions
open with an initialize handshake and a session, which this client does not
implement. is_stateless_protocol(version) tells the two apart.
Errors
Every failure is an McpError with a stable code: server_not_trusted,
tool_definition_changed, tool_denied, result_too_large,
mirrored_parameter_refused, unsupported_protocol_version,
protocol_failure, tool_call_failed, server_not_configured.
Parity
prism-parity's mcp-tool-digest corpus pins tool digests against the PHP
reference and the TypeScript port, so a pin computed in one language holds in
the others.
One case is not in that corpus: a schema containing an integral float such as
1.0 digests differently here than in PHP and TypeScript. For such a tool,
compute the pin in Python.
License
MIT. See LICENSE.
Metadata
Release files for prism-ai-mcp 0.2.0
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| prism_ai_mcp-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for prism_ai_mcp-0.2.0-py3-none-any.whl |
Total release size: 24.4 kB
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